首页>>科学研究
发表录用专著


(1)已发表SCI期刊论文

[1]     Xiao Lu, Lei Yang, Haixia Wang,Yuxia Li, Resilient Asynchronous H-infinity Control Designed for discrete-timeMarkov Jump Systems: Static Output Feedback Case, Advances in Mechanical Engineering, 2018, 10(1): 1-9.

[2]     Yang Liu, Zidong Wang, Xiao He, Donghua Zhou, Event-triggered filteringand fault estimation for nonlinear systems with stochastic sensor saturations, International Journal of Control, 2017,90 (5): 1052-1062.

[3]     Yang Liu, Zidong Wang, Xiao He, Donghua Zhou, Finite-horizon quantizedH-infinity filter design for a class of time-varying systems underevent-triggered transmissions, Systems& Control Letters, 2017, 103: 38-44.

[4]     Hongquan Ji, Xiao He, Jun Shang, Donghua Zhou, Incipient fault detectionwith smoothing techniques in statistical process monitoring, Control Engineering Practice, 2017, 62:11-21.

[5]     Jun Shang, Maoyin Chen, Hongquan Ji, Donghua Zhou, Recursivetransformed component statistical analysis for incipient fault detection, Automatica, 2017, 80: 313-327.

[6]     Xiaopeng Xi, Maoyin Chen, Donghua Zhou, Remaining useful life prediction for degradationprocesses with memory effects, IEEETransactions on Reliability, 2017, 66(3): 751-760.

[7]     Jun Shang, Maoyin Chen, HongquanJi, Donghua Zhou, Dominant trend based logistic regression for faultdiagnosis in nonstationary processes, ControlEngineering Practice, 2017, 66: 156-168.

[8]     Yinghong Zhao, Xiao He, DonghuaZhou, Optimal joint control and triggering strategies against denial ofservice attacks: a zero-sum game,  IETControl Theory and Applications, 2017, 11(14): 2352-2360.

[9]     Jianxun Zhang, Xiao He, Xiaosheng Si, Changhua Hu, Donghua Zhou, A Novel Multi-PhaseStochastic Model for Lithium-Ion Batteries' Degradation with RegenerationPhenomena, Energies, 2017, 10(11).

[10]   Fei Peng, Yuanzhe Zhao, XiaopengLi, Zhixiang Liu, Weirong Chen, Yang Liu,Donghua Zhou, Development of master-slave energy management strategy basedon fuzzy logic hysteresis state machine and differential power processingcompensation for a PEMFC-LIB-SC hybrid tramway, Applied Energy, 2017, 206: 346-363.

[11]   Jiantao Shi, Yuhao Yang, Jun Sun, Xiao He, Donghua Zhou, Yisheng Zhong,Fault-tolerant formation control of non-linear multi-vehicle systems with applicationto quadrotors, 2017, 11(17): 3179-3190.

[12]   Hanwen Zhang, Maoyin Chen, Xiaopeng Xi, Donghua Zhou, Remaining Useful Life Prediction for DegradationProcesses With Long-Range Dependence, IEEETransactions on Reliability, 2017, 66(4): 1368-1379.

[13]   Liguo Qin, Xiao He, Rui Yan, Donghua Zhou, Active Fault-Tolerant Control for a Quadrotor withSensor Faults, Journal of IntelligentI& Robotic Systems, 2017, 88(2-4): 449-467.

[14]   Liguo Qin, Xiao He, DonghuaZhou, Distributed oportion-integration-derivation formation control forsecond-order multi-agent systems with communication time delays, Neurocomputing, 2017, 267: 271-282.

[15]   Junfeng Zhang, Xiao He, DonghuaZhou, Robust optimal filtering for linear time-varying systems withstochastic uncertainties, IET ControlTheory and Applications, 2017, 11(18): 3297-3304.

[16]   Xianghua Wang, Chee Pin Tan, Donghua Zhou, Autopilot andguidance law design considering impact angle and time, IET Control Theory and Applications, 2018, 12(2): 221-232.

[17]   Xiaopeng Xi, Maoyin Chen, Hanwen Zhang, Donghua Zhou, An improved non-Markovian degradation model withlong-term dependency and item-to-item uncertainty, Mechanical Systems and Signal Processing, 2018, 105: 467-480.

[18]   Ziye Zhang, Xiaoping Liu, Jian Chen,Runan Guo, Shaowei Zhou, Further stability analysis for delayed complex-valuedrecurrent neural networks, Neurocomputing,2017, 251: 81-89.

[19]   Runan Guo, Ziye Zhang,Xiaoping Liu, Chong Lin, Existence, uniqueness, and exponential stability analysisfor complex-valued memristor-based BAM neural networks with time delays, Applied Mathematics and Computation,2017, 311:100-117.

[20]   Runan Guo, Ziye Zhang,Xiaoping Liu, Chong Lin, Haixia Wang, Jian Chen, Exponential input-to-statestability for complex-valued memristor-based BAM neural networks with multipletime-varying delays, Neurocomputing,2018, 275: 2041-2054.

[21]   Li Sheng, Zidong Wang, Lei Zou, F.E. Alsaadi, Event-based H-infinity state estimation for time-varying stochasticdynamical networks with state- and disturbance-dependent noises. IEEE Transactions on Neural Networks andLearning Systems, 2017, 28(10): 2382-2394.

[22]   Li Sheng, Zidong Wang, Weibo Wang, F. E. Alsaadi, Output-feedback control fornonlinear stochastic systems with successive packet dropouts and uniformquantization effects. IEEE Transactionson Systems, Man and Cybernetics: Systems, 2017, 47(7): 1181-1191.

[23]   Li Sheng, Zidong Wang, Lei Zou,Output-feedback H-2/H-infinity consensus control for stochastic time-varyingmulti-agent systems with (x,u,v)-dependent noises, Systems and Control Letters, 2017, 107: 58-67.

[24]   Yangyang Ding, YouqingWang, Donghua Zhou, Mortalityprediction for ICU patients combining just-in-time learning and extremelearning machine. Neurocomputing,2018, 281: 12-19.

[25]   Yangyang Ding, Xin Ma, YouqingWang, Health status monitoring for ICU patients based on locally weightedprincipal component analysis. ComputerMethods and Programs in Biomedicine, 2018, 156(3): 61-71.

[26]   Siyuan He, YouqingWang, Changqing Liu, Modified Partial Least Square for DiagnosingKey-Performance-Indicator-Related Faults. TheCanadian Journal of Chemical Engineering, 2018, 96(2): 444-454.

[27]   Zhijiang Lou, Dong Shen, YouqingWang, Two-step principal component analysis for dynamic processesmonitoring. The Canadian Journal ofChemical Engineering, 2018, 96(1): 160-170.

[28]   Fengna Tang, YouqingWang, Economic model predictive control of bihormonal artificial pancreassystem based on switching control and dynamic R-parameter. Journal of Diabetes Science and Technology, 2017, 11(6): 1112-1123.

[29]   Zhijiang Lou, YouqingWang, Multimode continuous processes monitoring based on hidden semi-Markovmodel and principle component analysis. Industrial& Engineering Chemistry Research, 2017, 56(46): 13800-13811.

[30]   Dong Zhao, Dong Shen, YouqingWang, Fault diagnosis and compensation for two-dimensional discrete timesystems with sensor faults and time-varying delays. International Journal of Robust and Nonlinear Control, 2017,27(16): 3296-3320.

[31]   Youqing Wang, Dong Zhao, Yueyang Li, StevenX. Ding, Unbiased minimum variance fault and state estimation for lineardiscrete time-varying two-dimensional systems, IEEE Transactions on Automatic Control, 2017, 62(10): 5463-5469.

[32]   Liang Cao, Dong Zhao, YouqingWang, Simultaneous estimation of multiple channel faults fortwo-dimensional linear systems, InternationalJournal of Systems Science, 2017, 48(13): 2838-2849.

[33]   Zhixiong Zhong, YanzhengZhu, Observer-Based Output-Feedback Control of Large-Scale NonlinearNetworked Systems with Two-Channel Event-Triggering, Journal of the Franklin Institute, 2017, 354: 5389-5420.

[34]   Jiandong Wang, Jianjun Su, Yan Zhao,Xiangkun Pang, Jun Li, Zhenfu Bi, Performance assessment ofprimary frequency control responses for thermal power generation units usingsystem identification technique, InternationalJournal of Electrical Power and Energy Systems, 2018,100:81-90.

[35]   Jiandong Wang, Jianjun Su, Yan Zhao,Xiangkun Pang, Jun Li, Zhenfu Bi, Searching historical data segments forprocess identification in feedback control loops, Computers & Chemical Engineering, 2018,112:6-16.

[36]   Jiandong Wang, Zijiang Yang, Kuang Chen, DonghuaZhou, Practices of detecting and removing nuisancealarms for alarm overloading in thermal power plants, Control Engineering Practice, 2017,67:21-30.

[37]   Fang Lei, JiandongWang, and Xiaobo Tan, An incremental harmonicbalance-based approach for harmonic analysis of closed-loop systems withPrandtl-Ishlinskii operator, Automatica,2017,88:48-56.

[38]   WanqiXiong, Jiandong Wang, KuangChen, Multivariatealarm systems for time-varying processes using Bayesian filters withapplications to electrical pumps, IEEETrans. Industrial Informatics, 2018,14:504-513.

[39]   Jiandong Wang, Yan Zhao, Zhenfu Bi,Criteria and algorithms for online and offline detections of industrial alarmfloods, IEEE Trans. Control SystemsTechnology, 2017,99:1-10.

[40]   Yan Yu,Jiandong Wang, Zijiang Yang, Design of alarmtrippoints for univariate analog process variables based on alarm probabilityplots, IEEE Trans. Industrial Electronics,2017,64:6496-6505.

[41]   Kuang Chen, JiandongWang, Normal and abnormal data segmentation based on variational directionsand clustering algorithms, Industrial& Engineering Chemistry Research, 2017,56:7799-7813.

[42]   Kuang Chen, JiandongWang, Design of multivariate alarm systems based on calculation ofvariational directions, ChemicalEngineering Research and Design, 2017,122:11-21.

[43]   Wenkai Hu, JiandongWang, Tongwen Chen, Sirish L, Shah, Cause-effect analysis of industrialalarm variables using transfer entropies, ControlEngineering Practice, 2017,64:205-214.

[44]   Yan Yu, Di Zhu, JiandongWang, Yan Zhao, Abnormal data detection for multivariate alarm systemsbased on correlation directions, Journalof Loss Prevention in the Process Industries, 2017,45:43-55.

[45]   Liguo Qin, Xiao He and DonghuaZhou, Fault-Tolerant Cooperative Output Regulation for Multi-VehicleSystems with Sensor Faults, InternationalJournal of Control, 2017, 90(10): 2227-2248.

[46]   Rongyi Yan, Xiao He, ZidongWang, Donghua Zhou, Detection,Isolation and Diagnosability Analysis of Intermittent Faults in StochasticSystems,International Journal of Control, 2018, 91(2): 1366-5820.

[47]   Jianxun Zhang, Changhua Hu, Xiao He , Xiaosheng Si , Yang Liu , Donghua Zhou, Lifetime prognostics for deteriorating systems withtime-varying random jumps, ReliabilityEngineering and System Safety, 2017, 167: 338-350.

[48]   Jianxun Zhang, Xiao He, Xiaosheng Si, Changhua Hu , Donghua Zhou, A novel multi-phase stochasticmodel for Lithium-Ion batteries’ degradation with regeneration phenomena, Energies, 2017, 0(11): 1687.

[49]   Junfeng Zhang, Xiao He, DonghuaZhou, Filtering for Stochastic Uncertain Systems with Non-logarithmicSensor Resolution, Automatica, 2018,89:194-200.

[50]   Jun Shang, Maoyin Chen, HongquanJi, Donghua Zhou, Isolatingincipient sensor fault based on recursive transformed component statisticalanalysis, Journal of Process Control,2018, 64:112-122.

[51]   Nianying Zeng, Hong Zhang, Baoye Song, Weibo Liu, Yurong Li, Abdullah M. Dobaie, Facialexpression recognition via learning deep sparse autoencoders, Neurocomputing, 2018, 273: 643-649.

[52]   Baoye Song, Zidong Wang, Lei Zou, OnGlobal Smooth Path Planning for Mobile Robots using a Novel Multimodal DelayedPSO Algorithm, Cognitive Computation,2017, 9(1): 5-17.

[53]   Yuqiang Luo, BaoyeSong, Jinling Liang, Abdullah M. Dobaie, Finite-time state estimation forjumping recurrent neural networks with deficient transition probabilities andlinear fractional uncertainties, Neurocomputing,2017, 260: 265-274.

[54]   Licheng Wang, ZidongWang, Qinglong Han and Guoliang Wei, Event-based variance-constrainedH-infinity filtering for stochastic parameter systems over sensor networks withsuccessive missing measurements, IEEETransactions on Cybernetics, 2018, 48(3): 1007-1017.

[55]   Chuanbo Wen, ZidongWang, Jun Hu, Qinyuan Liu, Recursive filtering for state-saturated systemswith randomly occurring nonlinearities and missing measurements, International Journal of Robust andNonlinear Control, 2018, 28(5):1715-1727.

[56]   Bo Shen, Zidong Wang,Hailong Tan, Guaranteed cost control for uncertain nonlinear systems with mixedtime-delays: the discrete-time case, EuropeanJournal of Control, 2018,40: 62-67.

[57]   Sunjie Zhang, ZidongWang, Derui Ding, Guoliang Wei, Fuad E. Alsaadi, Tasawar Hayat, Again-scheduling approach to nonfragile H-infinity fuzzy control subject tofading channels, IEEE Transactions onFuzzy Systems, 2018, 26(1):142-154.

[58]   Yonggang Chen, ZidongWang, Wei Qian, Fuad E. Alsaadi, Asynchronous observer-based H-infinitycontrol for switched stochastic systems with mixed delays under quantizationand packet dropouts, Nonlinear Analysis:Hybrid Systems, 2018, 27: 225-238.

[59]   Yurong Liu, ZidongWang, Lifeng Ma, Ying Cui, Fuad E. Alsaadi, Synchronizationof directed switched complex networks with stochastic link perturbations andmixed time-delays, NonlinearAnalysis: Hybrid Systems, 2018,27: 213-224.

[60]   Zidong Wang, Licheng Wang, Shuai Liu,Guoliang Wei, Encoding-decoding-based control and filtering of networkedsystems: insights, developments and opportunities, IEEE/CAA Journal of Automatica Sinica, 2018,5(1): 3-18.

[61]   Liang Hu, Zidong Wang,Qinglong Han, Xiaohui Liu, State estimation under false data injection attacks:security analysis and system protection, Automatica, 2018, 87:176-183.

[62]   Liang Hu, Zidong Wang,Qinglong Han, Xiaohui Liu, Event-based input and state estimation for lineardiscrete time-varying systems, InternationalJournal of Control, 2018, 91(1):101-113.

[63]   Wenbin Zhang, ZidongWang, Yurong Liu, Derui Ding, Fuad E. Alsaadi, Sampled-data consensus ofnonlinear multi-agent systems subject to cyber attacks, International Journal of Robust and Nonlinear Control, 2018, 28(1):53-67.

[64]   Chuanbo Wen, ZidongWang, Tao Geng, Fuad E. Alsaadi, Event-based distributed recursivefiltering for state-saturated systems with redundant channels, Information Fusion, 2018, 39:96-107.

[65]   Lei Zou, Zidong Wang, Qinglong Han, DonghuaZhou, Ultimate boundedness control for networked systems withTry-Once-Discard protocol and uniform quantization effects, IEEE Transactions on Automatic Control,2017,62(12): 6582-6588.

[66]   Hang Geng, Zidong Wang,Yan Liang, Yuhua Cheng, Fuad E. Alsaadi, Tobit Kalmanfilter with time-correlated multiplicative sensor noises under redundantchannel transmission, IEEE SensorsJournal, 2017,17(24):8367-8377.

[67]   Lifeng Ma, Zidong Wang,Yurong Liu, Fuad E. Alsaadi, A note on guaranteed costcontrol for nonlinear stochastic systems with input saturation and mixedtime-delays, International Journal ofRobust and Nonlinear Control, 2017, 27(18):4443-4456.

[68]   Lifeng Ma, Zidong Wang,Hak-Keung Lam, Nikos Kyriakoulis, Distributed event-basedset-membership filtering for a class of nonlinear systems with sensorsaturations over sensor networks,IEEE Transactions on Cybernetics, 2017, 47(11): 3772-3783.

[69]   Jun Hu, Zidong Wang,Foad E. Alsaadi, TasawarHayat, Event-based filtering fortime-varying nonlinear systems subject to multiple missing measurements withuncertain missing probabilities, InformationFusion, 2017,38:74-83.

[70]   Lei Zou, Zidong Wang, Jun Hu, Huijun Gao, On H-infinityfinite-horizon filtering under stochastic protocol: dealing with high-ratecommunication networks, IEEETransactions on Automatic Control, 2017,62(9):4884-4890.

[71]   Lifeng Ma, Zidong Wang,Yurong Liu, Fuad E. Alsaadi, Exponential stabilization ofnonlinear switched systems with distributed time-delay: an average dwell timeapproach, European Journal of Control,2017,37:34-42.

[72]   Wenbing Zhang, ZidongWang, Yurong Liu, Derui Ding, Fuad E. Alsaadi, Distributedsampled-data containment control of linear multi-agent systems with fixedtopology, IET Control Theory andApplication, 2017,11(14):2299-2306.

[73]   Derui Ding, ZidongWang, Daniel W. C. Ho, Guoliang Wei, Observer-basedevent-triggering consensus control for multiagent systems with lossy sensorsand cyber-attacks, IEEE Transactionson Cybernetics, 2017,47(8):1936-1947.

[74]   Lei Zou, Zidong Wang, Huijun Gao, Fuad E. Alsaadi, Finite-horizonH-infinity consensus control of time-varying multi-agent systems withstochastic communication protocol, IEEETransactions on Cybernetics, 2017,47(8):1830-1840.

[75]   Yuqiang Luo, ZidongWang, Guoliang Wei, Fuad E. Alsaadi, H-infinity fuzzyfault detection for uncertain 2-D systems under Round-Robin scheduling protocol,IEEE Transactions on Systems. Man andCybernetics-Systems, 2017,47(8): 2172-2184.

[76]   Lifeng Ma, Zidong Wangand Hak-Keung Lam, Event-triggered mean-square consensus control fortime-varying stochastic multi-agent system with sensor saturations, IEEE Transactions on Automatic Control,2017, 62(7): 3524-3531.

[77]   Lifeng Ma, Zidong Wangand Hak-Keung Lam, Mean-square H-infinity consensus control for a class ofnonlinear time-varying stochastic multi-agent systems: the finite-horizon case,IEEE Transactions on Systems. Man andCybernetics-Systems, 2017, 47(7): 1050-1060.

[78]   Yong Zhang, ZidongWang, Lei Zou, Huajing Fang, Event-based finite-time filtering for multi-rate systemswith fading measurements, IEEETransactions on Aerospace and Electronic Systems, 2017, 53(3): 1431-1441.

[79]   Bo Shen, Zidong Wang,Hong Qiao, Event-triggered state estimation fordiscrete-time multi-delayed neural networks with stochastic parameters andincomplete measurements, IEEETransactions on Neural Networks and Learning Systems, 2017, 28(5):1152-1163.

[80]   Lei Zou, Zidong Wang, Huijun Gao, Xiaohui Liu, Stateestimation for discrete-time dynamical networks with time-varying delays andstochastic disturbances under the Round-Robin protocol, IEEE Transactions on Neural Networks andLearning Systems, 2017, 28(5): 1139-1151.

[81]   Dong Wang, Zidong Wang,Bo Shen, Foad E. Alsaadi, Security-guaranteed filteringfor discrete-time stochastic delayed systems with randomly occurring sensorsaturations and deception attacks, InternationalJournal of Robust and Nonlinear Control, 2018, 27(7):1194-1208.

[82]   Fei Peng, Yuanzhe Zhao, XiaopengLi, et al. Development of master-slave energy management strategy based onfuzzy logic hysteresis state machine and differential power processingcompensation for a PEMFC-LIB- SC hybrid tramway. Applied Energy, 2017, 206: 346-363.

[83]   Rui Yang, Kok Kiong Tan, SunanHuang, Jie Sun, Jerry Fuh, Yoke San Wong, Chek Sing Teo, Zidong Wang, An RBF Neural Network Approach to Geometric ErrorCompensation with Displacement Measurements Only, Neural Computing and Applications,2017,28(6):1235–1248.

[84]   Dingfei Guo, MaiyingZhong, Multisensory Information fusion based Airspeed Sensor FaultDiagnosis for UAVs, IEEE Trans. Instrumentationand Measurement, 2018,67(2):317-327.

[85]   Yueyang Li, Shuai Liu, MaiyingZhong, State estimation for stochastic discrete-time systems withmultiplicative noises and unknowninputs over fading channels, Applied Mathematics and Computation, 2018,320:116-130.

[86]   Quan Cao, MaiyingZhong, Jia Guo, Nonlinear Estimation of the Flexural Lever Arm for TransferAlignment of Airborne Distributed POS. IET Radar, Sonar & Navigation, 2017,11(1):41-51.

[87]   Maiying Zhong, Ligang Zhang, Steven XDing, Donghua Zhou, A ProbabilisticApproach to Robust Fault Detection for a Class of Nonlinear Systems. IEEE Trans. Industrial Electronics,2017,64(5):3930-3939.

[88]   Maiying Zhong, Jie Chen, Yue Geng, Ascheme of optimal fault detection for linear discrete time-varying systems withdelayed state, Journal of SystemsEngineering and Electronics, 2017,28(5):979-985.

[89]   Gang Li, Kaixiang Peng, Tao Yuan, Maiying Zhong, Kernel dynamic latent variable model for processmonitoring with application to hot strip mill process. Chemometrics and Intelligent Laboratory Systems, 2017,171:218-225.

[90]   Liguo Qin, Xiao He, DonghuaZhou, Distributed proportion integration derivation formation control forsecond-order multi-agent systems with communication time delays, Neurocomputing, 2017, 267: 271-282

[91]   Junfeng Zhang, Xiao He, DonghuaZhou, Robust Optimal Filtering for LTV Systems with StochasticUncertainties, IET Control Theory andApplications , 2017, 11(18): 3297-3304.

[92]   Zhonghua Pang, Guoping Liu, Donghua Zhou, Dehui Sun, Inputdesign-based compensation control for networked nonlinear systems with randomdelays and packet dropouts, IEEE Trans.on Circuits and Systems II-Express Briefs, 2017, 64(3): 299-303.

[93]   Zhonghua Pang, Guoping Liu, Donghua Zhou, IEEE Trans.on Control SystemsTechnology, 2017, 25(2): 628-636.


(2)已录用SCI期刊论文

[1] Haixia Wang, Xiao Lu, Wei Cui, Zhiguo Zhang, GeneralInverse Resolution of Six-Degrees-of-Freedom Serial Robots Based on the Productof Exponentials Model,Assembly Automation, 2018,38(2):待发表(SCI)

[2] Haixia Wang, Xiao Lu, etc, A novelsecond sub-problem for two arbitrary axes of robots, International Journal of Advanced RoboticSystems, 待发表

[3] Wendong Gai, Jie Liu, Jing Zhang,Yuxia Li*, A new closed-loop control allocation methodwith application to direct force control, International Journal of Control,Automation and Systems, Accept.

[4] Baoye Song, Zidong Wang*, Lei Zou,Lin Xu, Fuad E. Alsaadi, A new approach to smooth path planning of mobilerobots with kinematic constraints, InternationalJournal of Machine Learning and Cybernetics, DOI 10.1007/s13042-017-0703-7, Accepted for Publication.

[5] Ziye Zhang, Xiaoping Liu, Chong Lin,Shaowei Zhou, Exponential stability analysis for delayed complex-valuedmemristor-based recurrent neural networks, NeuralComputing and Applications, DOI: 10.1007/s00521-017-3166-6.

[6] Ziye Zhang, Xiaoping Liu, Runan Guo,Chong Lin, Finite-time stability for delayed complex-valued BAM neuralnetworks, Neural Processing Letters,DOI: 10.1007/s11063-017-9710-7.

[7] Ziye Zhang, Xiaoping Liu, Donghua Zhou, Chong Lin, Jian Chen, HaixiaWang, Finite-time stabilizability and instabilizability for complex-valuedmemristive neural networks with time delays, IEEE Transactions on Systems, Man, and Cybernetics: Systems, DOI:10.1109/TSMC.2017.2754508.

[8] C. Liu, Youqing Wang, Donghua Zhou,Xiao Shen, Minimum-variance unbiased unknown input andstate estimation for multi-agent systems by distributed cooperative filters,IEEE Access, DOI: 10.1109/ACCESS.2018.2815662

[9] Liang Cao, Youqing Wang, Fault-tolerant control fornonlinear systems with multiple intermittent faults and time-varying delays.International Journal of Control,Automation and Systems, DOI: http://dx.doi.org/10.1007/s12555-017-0123-1

[10] Dong Zhao, Youqing Wang, Yueyang Li, Steven X. Ding, H-infinity faultestimation for two-dimensional linear discrete time-varying systems based onKrein space method, IEEE T. Systems, Manand Cybernetics: Systems, DOI: 10.1109/TSMC.2017.2723623

[11] Youqing Wang, Hao Zhang, Shaolong Wei, Donghua Zhou, B. Huang, Control performance assessment for ILC-controlled batchprocesses in two-dimensional system framework, IEEE T. Systems, Man and Cybernetics: Systems, DOI: 10.1109/TSMC.2017.2672563

[12] Yanzheng Zhu, Zhixiong Zhong, MichaelV. Basin, Donghua Zhou, A Descriptor System Approach to Stability and Stabilizationof Discrete-Time Switched PWA Systems,IEEETransactions on Automatic Control, 2018, DOI: 10.1109/TAC.2018.2797173, inpress.

[13] Yanzheng Zhu, Zhixiong Zhong, WeixingZheng, and Donghua Zhou, HMM-based H-infinity Filtering for Discrete-Time Markov JumpLPV Systems Over Unreliable Communication Channels, IEEE Transactions on Systems, Man, Cybernetics: Systems, 2017, DOI:10.1109/TSMC.2017.2723038, in press.

[14] Zhixiong Zhong, Yanzheng Zhu*, Hak-keung Lam, AsynchronousPiecewise Control for Large-Scale Fuzzy Systems via DistributedEvent-Triggering Schemes, IEEETransactions on Fuzzy Systems, 2017, DOI: 10.1109/TFUZZ.2017.2744599, inpress.

[15] Zhixiong Zhong, Yanzheng Zhu, and C. K Ahn, Reachable SetEstimation for Takagi-Sugeno Fuzzy Systems Against Unknown Output Delays WithApplication to Tracking Control of AUVs, ISA Transactions, 2018, DOI: 10.1016/j.isatra.2018.03.001, inpress.

[16] Wendong Gai, Ning Zhang, Jing Zhang, Aconstant guidance law-based collision avoidance for unmanned aerial vehicles,Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2018, DOI:10.1177/0954410017751325.

[17] Donghua Zhou, Hongquan Ji, Xiao He, Jun Shang, Fault Detection and Isolation ofthe Brake Cylinder System for Electric Multiple Units, IEEE Transactions on Control Systems Technology, 2017.

[18] Jun Shang, Maoyin Chen, Donghua Zhou, Covariance EigenpairsNeighbor Distance for Fault Detection in Chemical Processes Jun, The Canadian Journal of Chemical Engineering.

[19] Hongquan Ji, Xiao He and Donghua Zhou, Diagnosisof sensor precision degradation using Kullback-Leibler divergence,The Canadian Journal of Chemical Engineering.

[20] Ye Zhao, Xiao He, Donghua Zhou, Distributed Filtering for Time-varying NetworkedSystems with Sensor Gain Degradation and Energy Constraint: A CentralizedFinite-time Communication Protocol Scheme, SCIENCECHINA Information Sciences, DOI: 10.1007/s11432-017-9256-3

[21] Liguo Qin, Xiao He, Rui Yan, RuiliangDeng, Donghua Zhou, Distributed sensor fault diagnosis for a formation ofmulti-vehicle systems, Journal of theFranklin Institute, 2017.

[22] Liguo Qin, Xiao He, Donghua Zhou, Distributed sensor faultdiagnosis for a formation system with unknown constant time delays, Accepted for publication.

[23] Xiaopeng Xi, Maoyin Chen, Donghua Zhou, Remaining useful lifeprediction for multi-component systems with hidden dependencies, SCIENCE CHINA Information Sciences.

[24] Maiying Zhong, Jia Guo, Donghua Zhou, Adaptivein-flight alignment of INS/GPS systems for aerial mapping, IEEE Transactions on Aerkspace andElectronic Systems, 2017, DOI:10.1109/TAES.2017.2776058.

[25] Chengrui Liu, Maiying Zhong, Donghua Zhou,W. Li, Probabilistic analysis of fault diagnosisperformance for satellite attitude control systems, IEEE-ASME Trans. Mechatronics. Accepted for publication

[26] Ting Xue, Maiying Zhong, Steven X Ding, Hao Ye, StationaryWavelet Transform Aided Design of Parity Space Vectors for Fault Detection inLDTV Systems, IET Control Theory& Applications, 2018, DOI:10.1049/iet-cta.2017.1188.

[27] Hai Liu, Maiying Zhong,Yang Liu, A new residual evaluation function based fault diagnosis fora kind of nonlinear systems, AsianJournal of Control. Accepted for publication

[28] Hai Liu, Maiying Zhong, Rui Yang,Simultaneous disturbance compensation and Hi/H-infinityoptimization in fault detection of UAVs, International Journal of Applied Mathematics and Computer Science. Acceptedfor publication

[29] Maiying Zhong, Ting Xue, Steven X. Ding,A survey on model-based fault diagnosis for linear discretetime-varying systems, Neurocomputing.Accepted for publication

[30] Qinyuan Liu, Zidong Wang, Xiao He, DonghuaZhou, On Kalman-consensus filtering with random linkfailures over sensor networks, IEEE Transactions on Automatic Control,DOI:10.1109/TAC.2017.2774601.

[31] Qinquan Liu, Zidong Wang, Xiao He, DonghuaZhou, Event-triggered resilient filtering withmeasurement quantization and random sensor failures: monotonicity andconvergence, Automatica,Accepted for publication

[32] Lifeng Ma, Zidong Wang, Qinglong Han, H. K. Lam, Envelope-constrainedH-infinity filtering for nonlinear systems with quantization effects: thefinite horizon case, Automatica,Accepted for publication

[33] Xingzhen Bai, Zidong Wang, Li Sheng, ZhenWang, Reliable data fusion of hierarchical wireless sensornetworks with asynchronous measurement for greenhouse monitoring, IEEETransactions on Control Systems Technology, 2018, DOI:10.1109/TCST.2018.2797920

[34] Xingzhen Bai, Zidong Wang, Lei Zou, ChengCheng, Target tracking for wireless localization systemswith degraded measurements and quantization effects, IEEETransactions on Industrial Electronics, 2018,DOI: 10.1109/TIE.2018.2813982.

[35] Xiongbo Wan, Zidong Wang, Q.-L. Han, M. Wu, Finite-timeH-infinity state estimation for discrete time-delayed genetic regulatorynetworks under stochastic communication protocols, IEEETransactions on Circuits and Systems - Part I, (ISSN 1057-7122) ,Accepted for publication.

[36] Xiongbo Wan, Zidong Wang, Min Wu, Xiaohui Liu, State estimation for discretetime-delayed genetic regulatory networks with stochastic noises under theRound-Robin protocols, IEEETransactions on NanoBioscience, 2018,DOI:10.1109/TNB.2018.2797124.

[37] Bing Li, Zidong Wang, Lifeng Ma, An event-triggeredpinning control approach to synchronization of discrete-time stochastic complexdynamical networks, IEEETransactions on Neural Networks and Learning Systems, (ISSN 2162-237X) accepted forpublication.

[38] Yurong Liu, Zidong Wang, Yuan Yuan, Fuad E. Alsaadi, Partial-nodes-based stateestimation for complex networks with unbounded distributed delays, IEEETransactions on Neural Networks and Learning Systems, 2017,DOI:10.1109/TNNLS.2017.2740400.

[39] Hongjian Liu, Zidong Wang, Bo Shen, Xiaohui Liu, Event-triggered H-infinity stateestimation for delayed stochastic memristive neural networks with missingmeasurements: the discrete time case, IEEETransactions on Neural Networks and Learning Systems, 2017,DOI:10.1109/TNNLS.2017.2728639.

[40] Licheng Wang, Zidong Wang, Guoliang Wei, Fuad E. Alsaadi, Finite-time stateestimation for recurrent delayed neural networks with component-basedevent-triggering protocol, IEEETransactions on Neural Networks and Learning Systems, 2017,DOI:10.1109/TNNLS.2016.2635080.

[41] Yuqiang Luo, Zidong Wang, Guoliang Wei, Fault detection for fuzzy systems withmultiplicative noises under periodic communication protocols, IEEETransactions on Fuzzy Systems, 2017,DOI:10.1109/TFUZZ.2017.2774193.

[42] Di Zhao, Zidong Wang, Derui Ding, Guoliang Wei, H-infinity PID control withfading measurements: the output-feedback case, IEEETransactions on Systems, Man, and Cybernetics - Systems,2018,DOI:10.1109/TSMC.2018.2809489.

[43] Yuan Yuan, Zidong Wang, Lei Guo, Event-triggered strategy design fordiscrete-time nonlinear quadratic games with disturbance compensations: thenoncooperative case, IEEETransactions on Systems, Man, and Cybernetics - Systems,2017,DOI:10.1109/TSMC.2017.2704278.        

[44] Bing Li, Zidong Wang, Qinglong Han, Input-to-state stabilization of delayeddifferential systems with exogenous disturbances: the event-triggeredcase, IEEETransactions on Systems, Man, and Cybernetics - Systems,2017,DOI:10.1109/TSMC.2017.2719960.

[45] Yurong Liu, Zidong Wang, Yuan Yuan, Weibo Liu, Event-triggeredpartial-nodes-based state estimation for delayed complex networks with boundeddistributed delays, IEEETransactions on Systems, Man, and Cybernetics - Systems, 2017,DOI:10.1109/TSMC.2017.2720121.

[46] Chuanbo Wen, Zidong Wang, Qinyuan Liu, Fuad E. Alsaadi, Recursive distributedfiltering for a class of state-saturated systems with fading measurements andquantization effects, IEEETransactions on Systems, Man, and Cybernetics - Systems,2016,DOI:10.1109/TSMC.2016.2629464.

[47] Derui Ding, Zidong Wang, Qinglong Han, Guoliang Wei, Security control fordiscrete-time stochastic nonlinear systems subject to deception attacks, IEEETransactions on Systems, Man, and Cybernetics - Systems, 2016,DOI:10.1109/TSMC.2016.2616544.

[48] Yan Song, Zidong Wang, Derui Ding, Guoliang Wei, Robust H-2/H-infinity modelpredictive control for linear systems with polytopic uncertainties underweighted MEF-TOD protocol, IEEETransactions on Systems, Man, and Cybernetics - Systems,2017,DOI:10.1109/TSMC.2017.2757760.

[49] Yuqiang Luo, Zidong Wang, Guoliang Wei, Fuad E. Alsaadi, Non-fragile l-2/l-infinityfault estimation for Markovian jump 2-D systems with specified powerbounds, IEEETransactions on Systems, Man, and Cybernetics - Systems, 2018,DOI:10.1109/TSMC.2018.2794414.

[50] Fan Wang, Zidong Wang, Jinling Liang, Xiaohui Liu, Robust finite-horizonfiltering for two-dimensional systems with randomly varying sensordelays, IEEETransactions on Systems, Man, and Cybernetics - Systems, 2018,DOI:10.1109/TSMC.2017.2788503.

[51] Wenying Xu, Zidong Wang, Daniel W. C. Ho, Finite-horizon H-infinity consensusfor multi-agent systems with redundant channels via an observer-typeevent-triggered scheme, IEEE Transactionson Cybernetics, 2017,DOI:10.1109/TCYB.2017.2707590.

[52] Licheng Wang, Zidong Wang, Qinglong Han, Guoliang Wei, Synchronization controlfor a class of discrete-time dynamical networks with packet dropouts: acoding-decoding-based approach, IEEETransactions on Cybernetics, 2017,DOI:10.1109/TCYB.2017.2740309.

[53] Yang Liu, Zidong Wang, Donghua Zhou,Quantized polynomial filtering for nonlinear systems with missingmeasurements, International Journal ofControl, Accepted for publication

[54] Hongjian Liu, Zidong Wang, Bo Shen, Tingwen Huang, Fuad E. Alsaadi, Stabilityanalysis for discrete-time stochastic memristive neural networks with both leakageand probabilistic delays, NeuralNetworks, 2017, Accepted for publication

[55] Yang Liu, Zidong Wang, Donghua Zhou,State estimation and fault reconstruction with integral measurements underpartially decoupled disturbances, IET Control Theory & Applications,2018,DOI:10.1049/iet-cta.2017.1119.

[56] Liang Hu, Zidong Wang, Xiaohui Liu, Athanasios V. Vasilakos, Fuad E. Alsaadi,Recent advances on state estimation for power grids with unconventionalmeasurements, IET Control Theory & Applications,2017, DOI:10.1049/iet-cta.2017.0629.

[57] Xingzhen Bai, Zidong Wang, Lei Zou, FuadE. Alsaadi, Collaborative fusion estimation over wireless sensor networks formonitoring CO2 concentration in a greenhouse, InformationFusion, 2017, Accepted for publication

[58] Sunjie Zhang, Zidong Wang, Derui Ding, Guoliang Wei, F. E. Alsaadi, Non-fragileH-infinity state estimation for discrete-time complex networks with randomlyoccurring time-varying delays and channel fadings, IMA Journal of Mathematical Controland Information, (ISSN 0265-0754) accepted for publication.

[59] Yang Song, Maiying Zhong, Yang Liu.An Alternative Parity Space-Based Fault Diagnosability Analysis Approach forLinear Discrete Time Systems, IEEE  Access, Accepted for publication

[60] Maiying Zhong, Shusheng Li. Robustoptimal Hi/H¥ fault detection and itsapplications in a TGSCM control system. Transactionsof the Institute of Measurement and Control, DOI: 10.1177/0142331216665687.


(3)会议论文

[1]     Wendong Gai, Ning Zhang, Yuxia Li, APD nonlinear dynamic inverse guidance law based collision avoidance for UAVs, Chinese Automation Congress (CAC),Jinan, P.R. China, 2017,10.20-10.22.

[2]     Wendong Gai, Ning Zhang, Jie Liu,Improved nonlinear dynamic inverse guidance based collision avoidance for UAVs,29th Chinese Control and DecisionConference, Chongqing, P.R. China, 2017,5.28-5.30.

[3]     Jiansheng Zhang, BaoyeSong, Huadong Zhao, A new approach to fault diagnosis of three-phasefull-bridge rectifier with integrated feature extraction, Proceedings of 2017 Chinese Automation Congress (CAC), Oct. 20-33,2017, Jinan, China, 6817-6821.

[4]     Lin Xu, Dong Wang, BaoyeSong, Maoyong Cao, Global smooth path planning for mobile robots based oncontinuous Bezier curve, Proceedings of2017 Chinese Automation Congress (CAC), Oct. 20-33, 2017, Jinan, China, 2081-2085.  

[5]     Rui Yang, Mengjie Huang, An Online Data Driven Fault Detection Method in DynamicProcess Based on Sparse Representation, IEEEInternational Conference on Mechatronics and Automation (ICMA), August6-9,2017,Takamatsu, Japan,1816-1820.

[6]     Xinru Wang, Fei Peng,Di Wang, et al. Development of a hydrogen consumption optimization baseddynamic penalty control strategy for a PEMFC-LIB- SC hybrid tramway. 2017 IEEE Conference on Energy Internet andEnergy System Integration (EI2), November 26-28, 2017, Beijing.