Multi-sensors-based security control for T-S fuzzy systems over resource-constrained networks

Abstract This paper investigates the problem of multi-sensors-based security control for Takagi-Sugeno (T-S) fuzzy system over resource-constrained networks. To decrease the effects of resource-constrained networks, a distributed event-triggered scheme and a quantization mechanism are applied to lighten the burden of network transmission. By taking the influences of actuator saturation and denial-of-service (DoS) attacks into consideration, a novel mathematical model for T-S fuzzy system is constructed. Then, sufficient conditions ensuring the exponential stability of T-S fuzzy system are derived by using the Lyapunov stability theory. Moreover, the security controller gains for T-S fuzzy system are obtained by solving a set of linear matrix inequalities (LMIs). Finally, the feasibility of the proposed approach is demonstrated through simulation examples.

[1]  Dong Yue,et al.  Security Control for T–S Fuzzy Systems With Adaptive Event-Triggered Mechanism and Multiple Cyber-Attacks , 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[2]  Xiangpeng Xie,et al.  Quantized Stabilization for T–S Fuzzy Systems With Hybrid-Triggered Mechanism and Stochastic Cyber-Attacks , 2018, IEEE Transactions on Fuzzy Systems.

[3]  Hui Yang,et al.  Online Regulation of High Speed Train Trajectory Control Based on T-S Fuzzy Bilinear Model , 2016, IEEE Transactions on Intelligent Transportation Systems.

[4]  Songlin Hu,et al.  Event-based robust stabilization of uncertain networked control systems under quantization and denial-of-service attacks , 2018, Inf. Sci..

[5]  Dong Yue,et al.  Stabilization of Networked Control Systems With Hybrid-Driven Mechanism and Probabilistic Cyber Attacks , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[6]  Xiangpeng Xie,et al.  Resilient Event-Triggered Controller Synthesis of Networked Control Systems Under Periodic DoS Jamming Attacks , 2019, IEEE Transactions on Cybernetics.

[7]  Witold Pedrycz,et al.  Aggregation of Classifiers: A Justifiable Information Granularity Approach , 2017, IEEE Transactions on Cybernetics.

[8]  Peng Shi,et al.  Exponential $\mathcal {H}_{\infty }$ Filtering for Discrete-Time Switched Neural Networks With Random Delays , 2015, IEEE Transactions on Cybernetics.

[9]  Jie Cao,et al.  Event-Triggered $H_\infty$ Load Frequency Control for Multiarea Power Systems Under Hybrid Cyber Attacks , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[10]  Shaocheng Tong,et al.  Output feedback robust stabilization of switched fuzzy systems with time-delay and actuator saturation , 2015, Neurocomputing.

[11]  Guang-Hong Yang,et al.  Event-triggered non-fragile control for linear systems with actuator saturation and disturbances , 2018, Inf. Sci..

[12]  Guang-Hong Yang,et al.  Leaderless and leader-following consensus of linear multi-agent systems with distributed event-triggered estimators , 2019, J. Frankl. Inst..

[13]  Hongye Su,et al.  Output feedback control for uncertain nonlinear systems with input quantization , 2016, Autom..

[14]  Tao Zhang,et al.  A novel event-triggered mechanism for networked cascade control system with stochastic nonlinearities and actuator failures , 2019, J. Frankl. Inst..

[15]  Dong Yue,et al.  New Approach on Robust Delay-Dependent ${H}_\infty$ Control for Uncertain T--S Fuzzy Systems With Interval Time-Varying Delay , 2009, IEEE Transactions on Fuzzy Systems.

[16]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[17]  Xiangpeng Xie,et al.  Finite-Time $H_{\infty}$ Filtering for State-Dependent Uncertain Systems With Event-Triggered Mechanism and Multiple Attacks , 2020, IEEE Transactions on Circuits and Systems I: Regular Papers.

[18]  Guanrong Chen,et al.  A modified fuzzy PI controller for a flexible-joint robot arm with uncertainties , 2001, Fuzzy Sets Syst..

[19]  Chouki Sentouh,et al.  Fuzzy steering control for autonomous vehicles under actuator saturation: Design and experiments , 2017, J. Frankl. Inst..

[20]  Yue Wu,et al.  Fault detection for T-S fuzzy systems with partly unmeasurable premise variables , 2017, Fuzzy Sets Syst..

[21]  Shumin Fei,et al.  Event-Based Security Control for State-Dependent Uncertain Systems Under Hybrid-Attacks and Its Application to Electronic Circuits , 2019, IEEE Transactions on Circuits and Systems I: Regular Papers.

[22]  Qingling Zhang,et al.  The approximation of the T-S fuzzy model for a class of nonlinear singular system with derivative of input , 2019, J. Frankl. Inst..

[23]  Lijuan Zha,et al.  Security distributed state estimation for nonlinear networked systems against DoS attacks , 2019, International Journal of Robust and Nonlinear Control.

[24]  Derui Ding,et al.  Distributed recursive filtering for stochastic systems under uniform quantizations and deception attacks through sensor networks , 2017, Autom..

[25]  Yijing Wang,et al.  Dynamic event-triggered and self-triggered control for saturated systems with anti-windup compensation , 2017, J. Frankl. Inst..

[26]  Lei Guo,et al.  Resilient Control of Networked Control System Under DoS Attacks: A Unified Game Approach , 2016, IEEE Transactions on Industrial Informatics.

[27]  Zhou Gu,et al.  Decentralized event-triggered H∞ control for neural networks subject to cyber-attacks , 2018, Inf. Sci..

[28]  Guang-Hong Yang,et al.  Observer-based adaptive fuzzy quantized control of uncertain nonlinear systems with unknown control directions , 2019, Fuzzy Sets Syst..

[29]  Pietro Tesi,et al.  Input-to-State Stabilizing Control Under Denial-of-Service , 2015, IEEE Transactions on Automatic Control.

[30]  Jinde Cao,et al.  Resilient event-triggered consensus control for nonlinear muti-agent systems with DoS attacks , 2019, J. Frankl. Inst..

[31]  Dong Yue,et al.  Hybrid-Driven-Based ${\mathcal{H}}_\infty$ Control for Networked Cascade Control Systems With Actuator Saturations and Stochastic Cyber Attacks , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[32]  Jie Cao,et al.  Hybrid-drivenH∞filter design for T–S fuzzy systems with quantization , 2019, Nonlinear Analysis: Hybrid Systems.

[33]  C. L. Philip Chen,et al.  Direct adaptive compensation for actuator failures and dead-Zone constraints in tracking control of uncertain nonlinear systems , 2017, Inf. Sci..

[34]  Hongyi Li,et al.  Adaptive Intelligent Control for Nonlinear Strict-Feedback Systems With Virtual Control Coefficients and Uncertain Disturbances Based on Event-Triggered Mechanism , 2018, IEEE Transactions on Cybernetics.

[35]  Dong Yue,et al.  A Delay System Method for Designing Event-Triggered Controllers of Networked Control Systems , 2013, IEEE Transactions on Automatic Control.

[36]  Dong Yue,et al.  Decentralized Adaptive Event-Triggered $H_\infty$ Filtering for a Class of Networked Nonlinear Interconnected Systems , 2019, IEEE Transactions on Cybernetics.

[37]  Xiangpeng Xie,et al.  State estimation for cyber-physical systems with limited communication resources, sensor saturation and denial-of-service attacks. , 2020, ISA transactions.

[38]  Gang Feng,et al.  Control Design for a Class of Affine Nonlinear Descriptor Systems With Actuator Saturation , 2015, IEEE Transactions on Automatic Control.

[39]  Lei Zou,et al.  Probabilistic‐constrained filtering for a class of nonlinear systems with improved static event‐triggered communication , 2018, International Journal of Robust and Nonlinear Control.

[40]  Rathinasamy Sakthivel,et al.  Finite-time dissipative based fault-tolerant control of Takagi-Sugeno fuzzy systems in a network environment , 2017, J. Frankl. Inst..

[41]  Lihua Xie,et al.  Robust control of a class of uncertain nonlinear systems , 1992 .

[42]  Dong Yue,et al.  Chance-constrained H∞ control for a class of time-varying systems with stochastic nonlinearities: The finite-horizon case , 2019, Autom..

[43]  Hak-Keung Lam,et al.  Asynchronous Piecewise Output-Feedback Control for Large-Scale Fuzzy Systems via Distributed Event-Triggering Schemes , 2018, IEEE Transactions on Fuzzy Systems.

[44]  Renquan Lu,et al.  Event-Triggered Consensus Control for Multi-Agent Systems Against False Data-Injection Attacks , 2019, IEEE Transactions on Cybernetics.

[45]  Hongyi Li,et al.  Event-Triggered Control for Multiagent Systems With Sensor Faults and Input Saturation , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[46]  Dong Yue,et al.  Resilient control of networked control systems under deception attacks: A memory‐event‐triggered communication scheme , 2019, International Journal of Robust and Nonlinear Control.

[47]  Shumin Fei,et al.  Event-triggered synchronization of delayed neural networks with actuator saturation using quantized measurements , 2019, J. Frankl. Inst..

[48]  Yuechao Ma,et al.  Exponential stabilization and sampled-date H∞ control for uncertain T-S fuzzy systems with time-varying delay , 2019, J. Frankl. Inst..

[49]  C. L. Philip Chen,et al.  Adaptive fuzzy quantized control of time-delayed nonlinear systems with communication constraint , 2017, Fuzzy Sets Syst..

[50]  Guo-Ping Liu,et al.  Parameter-dependent Lyapunov functional for stability of time-delay systems with polytopic-type uncertainties , 2004, IEEE Transactions on Automatic Control.

[51]  Hak-Keung Lam,et al.  Observer-Based Fuzzy Control for Nonlinear Networked Systems Under Unmeasurable Premise Variables , 2016, IEEE Transactions on Fuzzy Systems.

[52]  Rathinasamy Sakthivel,et al.  Dissipative analysis for network-based singular systems with non-fragile controller and event-triggered sampling scheme , 2017, J. Frankl. Inst..

[53]  Yanliang Cui,et al.  Robust H∞ persistent dwell time control for switched discrete-time T-S fuzzy systems with uncertainty and time-varying delay , 2019, J. Frankl. Inst..