Neural network-based adaptive reliable control for nonlinear Markov jump systems against actuator attacks
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[1] Z. Liu,et al. Adaptive Sliding Mode Security Control for Stochastic Markov Jump Cyber-Physical Nonlinear Systems Subject to Actuator Failures and Randomly Occurring Injection Attacks , 2023, IEEE Transactions on Industrial Informatics.
[2] C. Ahn,et al. Sliding Mode Control for Fuzzy Networked Semi-Markov Switching Models Under Cyber Attacks , 2022, IEEE Transactions on Circuits and Systems II: Express Briefs.
[3] C. Ahn,et al. Adaptive neural network output tracking control of uncertain switched nonlinear systems: An improved multiple Lyapunov function method , 2022, Inf. Sci..
[4] Baoping Jiang,et al. Decentralized Adaptive Sliding Mode Control of Large-Scale Semi-Markovian Jump Interconnected Systems With Dead-Zone Input , 2022, IEEE Transactions on Automatic Control.
[5] Wenhai Qi,et al. SMC for Semi-Markov Jump Cyber-Physical Systems Subject to Randomly Occurring Deception Attacks , 2022, IEEE Transactions on Circuits and Systems II: Express Briefs.
[6] Renquan Lu,et al. Adaptive Neural Sliding Mode Control of Markov Jump Systems Subject to Malicious Attacks , 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[7] Hak-Keung Lam,et al. Sliding Mode Control of Markovian Jump Fuzzy Systems: A Dynamic Event-Triggered Method , 2021, IEEE Transactions on Fuzzy Systems.
[8] Quanmin Zhu. Complete model-free sliding mode control (CMFSMC) , 2021, Scientific Reports.
[9] Ben Niu,et al. Finite-Time Observer-Based Sliding-Mode Control for Markovian Jump Systems With Switching Chain: Average Dwell-Time Method , 2021, IEEE Transactions on Cybernetics.
[10] Hamid Reza Karimi,et al. Finite-Time Projective Synchronization Control of Variable-Order Fractional Chaotic Systems via Sliding Mode Approach , 2021, IEEE Transactions on Circuits and Systems II: Express Briefs.
[11] Okyay Kaynak,et al. Neural Network-Based Adaptive Fault-Tolerant Control for Markovian Jump Systems With Nonlinearity and Actuator Faults , 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[12] Fei Liu,et al. Adaptive optimization algorithm for nonlinear Markov jump systems with partial unknown dynamics , 2021, International Journal of Robust and Nonlinear Control.
[13] Zhitao Liu,et al. Adaptive attack-resilient control for Markov jump system with additive attacks , 2021, Nonlinear Dynamics.
[14] Baoping Jiang,et al. Observer-Based Adaptive Sliding Mode Control for Nonlinear Stochastic Markov Jump Systems via T–S Fuzzy Modeling: Applications to Robot Arm Model , 2021, IEEE Transactions on Industrial Electronics.
[15] Y. Kao,et al. Asymptotic multistability and local S-asymptotic ω-periodicity for the nonautonomous fractional-order neural networks with impulses , 2020, Science China Information Sciences.
[16] Jinpeng Yu,et al. Non-fragile observer-based adaptive control of uncertain nonlinear stochastic Markovian jump systems via sliding mode technique , 2020 .
[17] Shi Li,et al. Neural-Network Approximation-Based Adaptive Periodic Event-Triggered Output-Feedback Control of Switched Nonlinear Systems , 2020, IEEE Transactions on Cybernetics.
[18] Hak-Keung Lam,et al. Asynchronous sliding mode control of singularly perturbed semi-Markovian jump systems: Application to an operational amplifier circuit , 2020, Autom..
[19] Choon Ki Ahn,et al. Fuzzy Control and Filtering for Nonlinear Singularly Perturbed Markov Jump Systems , 2020, IEEE Transactions on Cybernetics.
[20] Yugang Niu,et al. Finite-Time Sliding-Mode Control of Markovian Jump Cyber-Physical Systems Against Randomly Occurring Injection Attacks , 2020, IEEE Transactions on Automatic Control.
[21] Ruikun Xu,et al. Adaptive nonsingular fast terminal sliding mode control for underwater manipulator robotics with asymmetric saturation actuators , 2020, Control Theory and Technology.
[22] Ming Liu,et al. Adaptive Neural Output-Feedback Controller Design of Switched Nonlower Triangular Nonlinear Systems With Time Delays , 2019, IEEE Transactions on Neural Networks and Learning Systems.
[23] Jinde Cao,et al. An Event-Based Asynchronous Approach to Markov Jump Systems With Hidden Mode Detections and Missing Measurements , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[24] Ligang Wu,et al. Event-triggering dissipative control of switched stochastic systems via sliding mode , 2019, Autom..
[25] Ricardo C. L. F. Oliveira,et al. Robust stability of Markov jump linear systems through randomized evaluations , 2019, Appl. Math. Comput..
[26] Nada M Moawad,et al. Development of an adaptive radial basis function neural network estimator-based continuous sliding mode control for uncertain nonlinear systems. , 2019, ISA transactions.
[27] Ligang Wu,et al. Observer-Based Adaptive Sliding Mode Control of NPC Converters: An RBF Neural Network Approach , 2019, IEEE Transactions on Power Electronics.
[28] Shen Yin,et al. Reduced-Order Sliding-Mode-Observer-Based Fault Estimation for Markov Jump Systems , 2019, IEEE Transactions on Automatic Control.
[29] Yang Shi,et al. Stabilization of hidden semi-Markov jump systems: Emission probability approach , 2019, Autom..
[30] Shengyuan Xu,et al. Slow State Variables Feedback Stabilization for Semi-Markov Jump Systems With Singular Perturbations , 2018, IEEE Transactions on Automatic Control.
[31] Xin Huang,et al. Reliable Control Policy of Cyber-Physical Systems Against a Class of Frequency-Constrained Sensor and Actuator Attacks , 2018, IEEE Transactions on Cybernetics.
[32] James Lam,et al. A Hybrid Design Approach for Output Feedback Exponential Stabilization of Markovian Jump Systems , 2018, IEEE Transactions on Automatic Control.
[33] Yuxin Zhao,et al. Sliding mode control of continuous-time Markovian jump systems with digital data transmission , 2017, Autom..
[34] Peng Shi,et al. Passivity-Based Asynchronous Control for Markov Jump Systems , 2017, IEEE Transactions on Automatic Control.
[35] Peng Shi,et al. Adaptive Sliding-Mode Control of Markov Jump Nonlinear Systems With Actuator Faults , 2017, IEEE Transactions on Automatic Control.
[36] Wei He,et al. Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints , 2016, IEEE Transactions on Cybernetics.
[37] Hamid Reza Karimi,et al. Adaptive sliding mode reliable control for switched systems with actuator degradation , 2015 .
[38] Yugang Niu,et al. Adaptive sliding mode control for stochastic Markovian jumping systems with actuator degradation , 2013, Autom..
[39] Vahid Johari Majd,et al. Robust tracking control method based on composite nonlinear feedback technique for linear systems with time-varying uncertain parameters and disturbances , 2012 .
[40] Shengyuan Xu,et al. Sliding mode observer–controller design for uncertain Markovian jump systems with time delays , 2012 .
[41] Halim Alwi,et al. Sliding mode methods for fault detection and fault tolerant control with application to aerospace systems , 2010, 2010 Conference on Control and Fault-Tolerant Systems (SysTol).
[42] Weisheng Chen,et al. Adaptive output feedback control of nonlinear systems with actuator failures , 2009, Inf. Sci..
[43] James Lam,et al. Robust H 2 control of Markovian jump systems with uncertain switching probabilities , 2009, Int. J. Syst. Sci..
[44] Lixian Zhang,et al. Stability and stabilization of Markovian jump linear systems with partly unknown transition probabilities , 2009, Autom..
[45] J. Lam,et al. Neural Adaptive Sliding Mode Control for a Class of Nonlinear Neutral Delay Systems , 2008 .
[46] Ying-Shieh Kung,et al. Robust fuzzy neural network controller with nonlinear disturbance observer for two-axis motion control system , 2008 .
[47] Q. Zhang,et al. Stochastic Switching Systems: Analysis and Design-[Book review; E. K. Boukas] , 2007, IEEE Transactions on Automatic Control.
[48] Yuanqing Xia,et al. On designing of sliding-mode control for stochastic jump systems , 2006, IEEE Transactions on Automatic Control.
[49] El-Kébir Boukas,et al. Stochastic Switching Systems: Analysis and Design , 2005 .
[50] José Claudio Geromel,et al. Output feedback control of Markov jump linear systems in continuous-time , 2000, IEEE Trans. Autom. Control..
[51] Marimuthu Palaniswami,et al. An adaptive tracking controller using neural networks for a class of nonlinear systems , 1998, IEEE Trans. Neural Networks.
[52] Li-Chen Fu,et al. Neural network approach to variable structure based adaptive tracking of SISO systems , 1996, Proceedings. 1996 IEEE International Workshop on Variable Structure Systems. - VSS'96 -.
[53] Frank L. Lewis,et al. Feedback linearization using neural networks , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).
[54] Lihua Xie,et al. Robust control of a class of uncertain nonlinear systems , 1992 .
[55] Jianxing Liu,et al. Event-triggered sliding mode control for switched genetic regulatory networks with persistent dwell time , 2022, Nonlinear Analysis: Hybrid Systems.
[56] Choon Ki Ahn,et al. Sliding mode control for singularly perturbed Markov jump descriptor systems with nonlinear perturbation , 2021, Autom..
[57] Hamid Reza Karimi,et al. Passivity-based robust sliding mode synthesis for uncertain delayed stochastic systems via state observer , 2020, Autom..
[58] Guang-Hong Yang,et al. Improved adaptive resilient control against sensor and actuator attacks , 2018, Inf. Sci..
[59] Jie Zhang,et al. Stabilization for Markovian jump systems with partial information on transition probability based on free-connection weighting matrices , 2011, Autom..
[60] Hilde van der Togt,et al. Publisher's Note , 2003, J. Netw. Comput. Appl..
[61] Clark R. Dohrmann,et al. Adaptive Sliding Mode Control , 2002 .
[62] Richard L. Tweedie,et al. Markov Chains and Stochastic Stability , 1993, Communications and Control Engineering Series.