TY - JOUR AU - Zhang, X. AU - Han, Q. AU - Yu, X. PY - 2016 DA - 2016// TI - Survey on recent advances in networked control systems JO - IEEE Trans. Ind. Inform. VL - 12 UR - https://doi.org/10.1109/TII.2015.2506545 DO - 10.1109/TII.2015.2506545 ID - Zhang2016 ER - TY - JOUR AU - Zhang, H. AU - Hu, J. AU - Liu, H. AU - Yu, X. AU - Liu, F. PY - 2019 DA - 2019// TI - Recursive state estimation for time-varying complex networks subject to missing measurements and stochastic inner coupling under random access protocol JO - Neurocomputing VL - 346 UR - https://doi.org/10.1016/j.neucom.2018.07.086 DO - 10.1016/j.neucom.2018.07.086 ID - Zhang2019 ER - TY - JOUR AU - Selvaraj, P. AU - Sakthivel, R. AU - Ahn, C. K. PY - 2019 DA - 2019// TI - Observer-based synchronization of complex dynamical networks under actuator saturation and probabilistic faults JO - IEEE Trans. Syst. Man Cybern. Syst. VL - 49 UR - https://doi.org/10.1109/TSMC.2018.2803261 DO - 10.1109/TSMC.2018.2803261 ID - Selvaraj2019 ER - TY - JOUR AU - Zheng, M. AU - Tang, W. AU - Zhao, X. PY - 2019 DA - 2019// TI - Hyperparameter optimization of neural network-driven spatial models accelerated using cyber-enabled high-performance computing JO - Int. J. Geogr. Inf. Sci. VL - 33 UR - https://doi.org/10.1080/13658816.2018.1530355 DO - 10.1080/13658816.2018.1530355 ID - Zheng2019 ER - TY - JOUR AU - Maharajan, C. AU - Raja, R. AU - Cao, J. AU - Ravi, G. AU - Rajchakit, G. PY - 2018 DA - 2018// TI - Global exponential stability of Markovian jumping stochastic impulsive uncertain BAM neural networks with leakage, mixed time delays, and alpha-inverse Holder activation functions JO - Adv. Differ. Equ. VL - 2018 UR - https://doi.org/10.1186/s13662-018-1553-7 DO - 10.1186/s13662-018-1553-7 ID - Maharajan2018 ER - TY - JOUR AU - Manivannan, R. AU - Samidurai, R. AU - Cao, J. AU - Alsaedi, A. AU - Alsaadi, F. E. PY - 2018 DA - 2018// TI - Delay-dependent stability criteria for neutral-type neural networks with interval time-varying delay signals under the effects of leakage delay JO - Adv. Differ. Equ. VL - 2018 UR - https://doi.org/10.1186/s13662-018-1509-y DO - 10.1186/s13662-018-1509-y ID - Manivannan2018 ER - TY - JOUR AU - Selvaraj, P. AU - Sakthivel, R. AU - Kwon, O. M. PY - 2018 DA - 2018// TI - Finite-time synchronization of stochastic coupled neural networks subject to Markovian switching and input saturation JO - Neural Netw. VL - 105 UR - https://doi.org/10.1016/j.neunet.2018.05.004 DO - 10.1016/j.neunet.2018.05.004 ID - Selvaraj2018 ER - TY - JOUR AU - Sakthivel, R. AU - Anbuvithya, R. AU - Mathiyalagan, K. AU - Prakash, P. PY - 2015 DA - 2015// TI - Combined H∞$H_{\infty }$ and passivity state estimation of memristive neural networks with random gain fluctuations JO - Neurocomputing VL - 168 UR - https://doi.org/10.1016/j.neucom.2015.05.012 DO - 10.1016/j.neucom.2015.05.012 ID - Sakthivel2015 ER - TY - JOUR AU - Sakthivel, R. AU - Vadivel, P. AU - Mathiyalagan, K. AU - Arunkumar, A. AU - Sivachitra, M. PY - 2015 DA - 2015// TI - Design of state estimator for bidirectional associative memory neural networks with leakage delays JO - Inf. Sci. VL - 296 UR - https://doi.org/10.1016/j.ins.2014.10.063 DO - 10.1016/j.ins.2014.10.063 ID - Sakthivel2015 ER - TY - JOUR AU - Li, R. AU - Gao, X. AU - Cao, J. PY - 2019 DA - 2019// TI - Non-fragile state estimation for delayed fractional-order memristive neural networks JO - Appl. Math. Comput. VL - 340 ID - Li2019 ER - TY - JOUR AU - Guo, R. AU - Zhang, Z. AU - Gao, M. PY - 2018 DA - 2018// TI - State estimation for complex-valued memristive neural networks with time-varying delays JO - Adv. Differ. Equ. VL - 2018 UR - https://doi.org/10.1186/s13662-018-1575-1 DO - 10.1186/s13662-018-1575-1 ID - Guo2018 ER - TY - JOUR AU - Liu, Y. AU - Wang, Z. AU - Liu, X. PY - 2012 DA - 2012// TI - State estimation for discrete-time neural networks with Markov-mode-dependent lower and upper bounds on the distributed delays JO - Neural Process. Lett. VL - 36 UR - https://doi.org/10.1007/s11063-012-9219-z DO - 10.1007/s11063-012-9219-z ID - Liu2012 ER - TY - JOUR AU - Hu, J. AU - Wang, Z. AU - Alsaadi, F. E. AU - Hayat, T. PY - 2017 DA - 2017// TI - Event-based filtering for time-varying nonlinear systems subject to multiple missing measurements with uncertain missing probabilities JO - Inf. Fusion VL - 38 UR - https://doi.org/10.1016/j.inffus.2017.03.003 DO - 10.1016/j.inffus.2017.03.003 ID - Hu2017 ER - TY - JOUR AU - Bao, H. AU - Cao, J. AU - Kurths, J. PY - 2018 DA - 2018// TI - State estimation of fractional-order delayed memristive neural networks JO - Nonlinear Dyn. VL - 94 UR - https://doi.org/10.1007/s11071-018-4419-3 DO - 10.1007/s11071-018-4419-3 ID - Bao2018 ER - TY - JOUR AU - Hu, J. AU - Wang, Z. AU - Gao, H. PY - 2018 DA - 2018// TI - Joint state and fault estimation for uncertain time-varying nonlinear systems with randomly occurring faults and sensor saturations JO - Automatica VL - 97 UR - https://doi.org/10.1016/j.automatica.2018.07.027 DO - 10.1016/j.automatica.2018.07.027 ID - Hu2018 ER - TY - JOUR AU - Kang, W. AU - Zhong, S. AU - Cheng, J. PY - 2015 DA - 2015// TI - H∞$H_{\infty }$ state estimation for discrete-time neural networks with time-varying and distributed delays JO - Adv. Differ. Equ. VL - 2015 UR - https://doi.org/10.1186/s13662-015-0603-7 DO - 10.1186/s13662-015-0603-7 ID - Kang2015 ER - TY - JOUR AU - Bernat, J. PY - 2018 DA - 2018// TI - Multi observer structure for rapid state estimation in linear time varying systems JO - Int. J. Control. Autom. Syst. VL - 16 UR - https://doi.org/10.1007/s12555-017-0262-4 DO - 10.1007/s12555-017-0262-4 ID - Bernat2018 ER - TY - JOUR AU - Dong, H. AU - Bu, X. AU - Hou, N. AU - Liu, Y. AU - Alsaadi, F. E. AU - Hayat, T. PY - 2017 DA - 2017// TI - Event-triggered distributed state estimation for a class of time-varying systems over sensor networks with redundant channels JO - Inf. Fusion VL - 36 UR - https://doi.org/10.1016/j.inffus.2016.12.005 DO - 10.1016/j.inffus.2016.12.005 ID - Dong2017 ER - TY - JOUR AU - Hu, L. AU - Wang, Z. AU - Han, Q. AU - Liu, X. PY - 2018 DA - 2018// TI - Event-based input and state estimation for linear discrete time-varying systems JO - Int. J. Control VL - 91 UR - https://doi.org/10.1080/00207179.2016.1269205 DO - 10.1080/00207179.2016.1269205 ID - Hu2018 ER - TY - JOUR AU - Zhang, H. AU - Hu, J. AU - Zou, L. AU - Yu, X. AU - Wu, Z. PY - 2018 DA - 2018// TI - Event-based state estimation for time-varying stochastic coupling networks with missing measurements under uncertain occurrence probabilities JO - Int. J. Gen. Syst. VL - 47 UR - https://doi.org/10.1080/03081079.2018.1445740 DO - 10.1080/03081079.2018.1445740 ID - Zhang2018 ER - TY - JOUR AU - Jia, C. AU - Hu, J. PY - 2019 DA - 2019// TI - Variance-constrained filtering for nonlinear systems with randomly occurring quantized measurements: recursive scheme and boundedness analysis JO - Adv. Differ. Equ. VL - 2019 UR - https://doi.org/10.1186/s13662-019-2000-0 DO - 10.1186/s13662-019-2000-0 ID - Jia2019 ER - TY - JOUR AU - Duan, H. AU - Peng, T. PY - 2017 DA - 2017// TI - Finite-time reliable filtering for T-S fuzzy stochastic jumping neural networks under unreliable communication links JO - Adv. Differ. Equ. VL - 2017 UR - https://doi.org/10.1186/s13662-017-1108-3 DO - 10.1186/s13662-017-1108-3 ID - Duan2017 ER - TY - JOUR AU - Nelson, P. R. C. AU - MacGregor, J. F. AU - Taylor, P. A. PY - 2006 DA - 2006// TI - The impact of missing measurements on PCA and PLS prediction and monitoring applications JO - Chemom. Intell. Lab. Syst. VL - 80 UR - https://doi.org/10.1016/j.chemolab.2005.04.006 DO - 10.1016/j.chemolab.2005.04.006 ID - Nelson2006 ER - TY - JOUR AU - Che, Y. AU - Shu, H. AU - Liu, Y. PY - 2016 DA - 2016// TI - Exponential mean-square H∞$H_{\infty }$ filtering for arbitrarily switched neural networks with missing measurements JO - Neurocomputing VL - 193 UR - https://doi.org/10.1016/j.neucom.2016.02.019 DO - 10.1016/j.neucom.2016.02.019 ID - Che2016 ER - TY - JOUR AU - Tsai, L. T. AU - Yang, C. -. C. PY - 2012 DA - 2012// TI - Improving measurement invariance assessments in survey research with missing data by novel artificial neural networks JO - Expert Syst. Appl. VL - 39 UR - https://doi.org/10.1016/j.eswa.2012.02.048 DO - 10.1016/j.eswa.2012.02.048 ID - Tsai2012 ER - TY - JOUR AU - Song, Y. AU - Hu, J. AU - Chen, D. AU - Liu, Y. AU - Alsaadi, F. E. AU - Sun, G. PY - 2018 DA - 2018// TI - A resilience approach to state estimation for discrete neural networks subject to multiple missing measurements and mixed time-delays JO - Neurocomputing VL - 272 UR - https://doi.org/10.1016/j.neucom.2017.06.065 DO - 10.1016/j.neucom.2017.06.065 ID - Song2018 ER - TY - JOUR AU - Liu, M. AU - Chen, H. PY - 2015 DA - 2015// TI - H∞$H_{\infty }$ state estimation for discrete-time delayed systems of the neural network type with multiple missing measurements JO - IEEE Trans. Neural Netw. Learn. Syst. VL - 26 UR - https://doi.org/10.1109/TNNLS.2015.2399331 DO - 10.1109/TNNLS.2015.2399331 ID - Liu2015 ER - TY - JOUR AU - Rakkiyappan, R. AU - Sasirekha, R. AU - Zhu, Y. AU - Zhang, L. PY - 2016 DA - 2016// TI - H∞$H_{\infty }$ state estimator design for discrete-time switched neural networks with multiple missing measurements and sojourn probabilities JO - J. Franklin Inst. VL - 353 UR - https://doi.org/10.1016/j.jfranklin.2015.10.017 DO - 10.1016/j.jfranklin.2015.10.017 ID - Rakkiyappan2016 ER - TY - JOUR AU - Liang, J. AU - Wang, Z. AU - Liu, X. PY - 2009 DA - 2009// TI - State estimation for coupled uncertain stochastic networks with missing measurements and time-varying delays: the discrete-time case JO - IEEE Trans. Neural Netw. VL - 20 UR - https://doi.org/10.1109/TNN.2009.2013240 DO - 10.1109/TNN.2009.2013240 ID - Liang2009 ER - TY - JOUR AU - Liu, H. AU - Wang, Z. AU - Shen, B. AU - Liu, X. PY - 2018 DA - 2018// TI - Event-triggered H∞$H_{\infty }$ state estimation for delayed stochastic memristive neural networks with missing measurements: the discrete time case JO - IEEE Trans. Neural Netw. Learn. Syst. VL - 29 UR - https://doi.org/10.1109/TNNLS.2017.2728639 DO - 10.1109/TNNLS.2017.2728639 ID - Liu2018 ER - TY - JOUR AU - Ding, D. AU - Wang, Z. AU - Shen, B. AU - Dong, H. PY - 2015 DA - 2015// TI - H∞$H_{\infty }$ state estimation with fading measurements, randomly varying nonlinearities and probabilistic distributed delays JO - Int. J. Robust Nonlinear Control VL - 25 UR - https://doi.org/10.1002/rnc.3201 DO - 10.1002/rnc.3201 ID - Ding2015 ER - TY - JOUR AU - Zhang, P. AU - Hu, J. AU - Liu, H. AU - Zhang, C. PY - 2018 DA - 2018// TI - Sliding mode control for networked systems with randomly varying nonlinearities and stochastic communication delays under uncertain occurrence probabilities JO - Neurocomputing VL - 320 UR - https://doi.org/10.1016/j.neucom.2018.08.043 DO - 10.1016/j.neucom.2018.08.043 ID - Zhang2018 ER - TY - JOUR AU - Liang, J. AU - Wang, Z. AU - Liu, X. PY - 2011 DA - 2011// TI - Distributed state estimation for discrete-time sensor networks with randomly varying nonlinearities and missing measurements JO - IEEE Trans. Neural Netw. VL - 22 UR - https://doi.org/10.1109/TNN.2011.2105501 DO - 10.1109/TNN.2011.2105501 ID - Liang2011 ER - TY - JOUR AU - Dong, H. AU - Wang, Z. AU - Gao, H. PY - 2012 DA - 2012// TI - Fault detection for Markovian jump systems with sensor saturations and randomly varying nonlinearities JO - IEEE Trans. Circuits Syst. I, Regul. Pap. VL - 59 UR - https://doi.org/10.1109/TCSI.2012.2185330 DO - 10.1109/TCSI.2012.2185330 ID - Dong2012 ER - TY - JOUR AU - Wang, L. AU - Wei, G. AU - Li, W. PY - 2014 DA - 2014// TI - Probability-dependent H∞$H_{\infty }$ synchronization control for dynamical networks with randomly varying nonlinearities JO - Neurocomputing VL - 133 UR - https://doi.org/10.1016/j.neucom.2013.12.045 DO - 10.1016/j.neucom.2013.12.045 ID - Wang2014 ER - TY - JOUR AU - Sakthivel, R. AU - Sakthivel, R. AU - Kaviarasan, B. AU - Wang, C. AU - Ma, Y. K. PY - 2018 DA - 2018// TI - Finite-time nonfragile synchronization of stochastic complex dynamical networks with semi-Markov switching outer coupling JO - Complexity VL - 2018 UR - https://doi.org/10.1155/2018/8546304 DO - 10.1155/2018/8546304 ID - Sakthivel2018 ER - TY - JOUR AU - Sakthivel, R. AU - Nithya, V. AU - Ma, Y. K. AU - Wang, C. PY - 2018 DA - 2018// TI - Finite-time nonfragile dissipative filter design for wireless networked systems with sensor failures JO - Complexity VL - 2018 UR - https://doi.org/10.1155/2018/7482015 DO - 10.1155/2018/7482015 ID - Sakthivel2018 ER - TY - JOUR AU - Wang, D. AU - Shi, P. AU - Wang, W. AU - Karimi, H. R. PY - 2014 DA - 2014// TI - Non-fragile H∞$H_{\infty }$ control for switched stochastic delay systems with application to water quality process JO - Int. J. Robust Nonlinear Control VL - 24 UR - https://doi.org/10.1002/rnc.2956 DO - 10.1002/rnc.2956 ID - Wang2014 ER - TY - JOUR AU - Pourgholi, M. AU - Majd, V. J. PY - 2011 DA - 2011// TI - A new non-fragile H∞$H_{\infty }$ proportional-integral filtered-error adaptive observer for a class of non-linear systems and its application to synchronous generators JO - Proc. Inst. Mech. Eng. VL - 225 ID - Pourgholi2011 ER - TY - JOUR AU - Wu, Z. AU - Xu, Z. AU - Shi, P. AU - Chen, M. Z. AU - Su, H. PY - 2018 DA - 2018// TI - Nonfragile state estimation of quantized complex networks with switching topologies JO - IEEE Trans. Neural Netw. Learn. Syst. VL - 29 UR - https://doi.org/10.1109/TNNLS.2018.2790982 DO - 10.1109/TNNLS.2018.2790982 ID - Wu2018 ER - TY - JOUR AU - Shen, H. AU - Wang, T. AU - Chen, M. AU - Lu, J. PY - 2018 DA - 2018// TI - Nonfragile mixed state estimation for repeated scalar nonlinear systems with Markov jumping parameters and redundant channels JO - Nonlinear Dyn. VL - 91 UR - https://doi.org/10.1007/s11071-017-3899-x DO - 10.1007/s11071-017-3899-x ID - Shen2018 ER - TY - JOUR AU - Xie, W. AU - Zhu, H. AU - Cheng, J. AU - Zhong, S. AU - Shi, K. PY - 2019 DA - 2019// TI - Finite-time asynchronous H∞$H_{\infty }$ resilient filtering for switched delayed neural networks with memory unideal measurements JO - Inf. Sci. VL - 487 UR - https://doi.org/10.1016/j.ins.2019.03.019 DO - 10.1016/j.ins.2019.03.019 ID - Xie2019 ER - TY - JOUR AU - Sheng, L. AU - Niu, Y. AU - Gao, M. PY - 2019 DA - 2019// TI - Distributed resilient filtering for time-varying systems over sensor networks subject to round-robin/stochastic protocol JO - ISA Trans. VL - 87 UR - https://doi.org/10.1016/j.isatra.2018.11.012 DO - 10.1016/j.isatra.2018.11.012 ID - Sheng2019 ER - TY - JOUR AU - Dong, H. AU - Wang, Z. AU - Ho, D. W. AU - Gao, H. PY - 2010 DA - 2010// TI - Variance-constrained H∞$H_{\infty }$ filtering for a class of nonlinear time-varying systems with multiple missing measurements: the finite-horizon case JO - IEEE Trans. Signal Process. VL - 58 UR - https://doi.org/10.1109/TSP.2010.2042489 DO - 10.1109/TSP.2010.2042489 ID - Dong2010 ER - TY - JOUR AU - Ma, L. AU - Wang, Z. AU - Han, Q. L. AU - Lam, H. K. PY - 2017 DA - 2017// TI - Variance-constrained distributed filtering for time-varying systems with multiplicative noises and deception attacks over sensor networks JO - IEEE Sens. J. VL - 17 UR - https://doi.org/10.1109/JSEN.2017.2654325 DO - 10.1109/JSEN.2017.2654325 ID - Ma2017 ER - TY - JOUR AU - Dong, H. AU - Hou, N. AU - Wang, Z. AU - Ren, W. PY - 2018 DA - 2018// TI - Variance-constrained state estimation for complex networks with randomly varying topologies JO - IEEE Trans. Neural Netw. Learn. Syst. VL - 29 ID - Dong2018 ER - TY - JOUR AU - Li, I. H. AU - Wang, W. Y. AU - Su, S. F. AU - Lee, Y. S. PY - 2007 DA - 2007// TI - A merged fuzzy neural network and its applications in battery state-of-charge estimation JO - IEEE Trans. Energy Convers. VL - 22 UR - https://doi.org/10.1109/TEC.2007.895457 DO - 10.1109/TEC.2007.895457 ID - Li2007 ER - TY - JOUR AU - Hu, J. AU - Zhang, H. AU - Yu, X. AU - Liu, H. AU - Chen, D. PY - 2019 DA - 2019// TI - Design of sliding-mode-based control for nonlinear systems with mixed-delays and packet losses under uncertain missing probability JO - IEEE Trans. Syst. Man Cybern. Syst. UR - https://doi.org/10.1109/TSMC.2019.2919513 DO - 10.1109/TSMC.2019.2919513 ID - Hu2019 ER - TY - JOUR AU - Hu, J. AU - Zhang, P. AU - Kao, Y. AU - Liu, H. AU - Chen, D. PY - 2019 DA - 2019// TI - Sliding mode control for Markovian jump repeated scalar nonlinear systems with packet dropouts: the uncertain occurrence probabilities case JO - Appl. Math. Comput. UR - https://doi.org/10.1016/j.amc.2019.124574 DO - 10.1016/j.amc.2019.124574 ID - Hu2019 ER -