Asynchronous Sliding-Mode Control for Discrete-Time Networked Hidden Stochastic Jump Systems With Cyber Attacks
- 21 August 2023
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Cybernetics
- Vol. 54 (3) , 1934-1946
Abstract
In this study, asynchronous sliding-mode control (SMC) for discrete-time networked hidden stochastic jump systems subjected to the semi-Markov kernel (SMK) and cyber attacks is investigated. Considering the statistical characteristic of the SMK, which is challenging to acquire in engineering, this study recognizes the SMK to be incomplete. Due to the mode mismatch between the original system and the control law in the operating process, a hidden semi-Markov model is proposed to describe the considered asynchronous situation. The main aim of this study is to construct an asynchronous SMC mechanism based on an incomplete SMK framework under the condition of random denial-of-service attacks so that the resulting closed-loop system can realize the mean-square stability. By virtue of the upper bound of the sojourn time in each mode, innovative techniques are developed for mean-square stability analysis under an incomplete SMK. Furthermore, an asynchronous SMC scheme is designed to achieve the reachability of the quasi-sliding mode. Finally, the effectiveness is verified using an electronic throttle model.Keywords
Funding Information
- National Natural Science Foundation of China (62073188, 62273254, 61873331)
- Natural Science Foundation of Shandong Province of China (ZR2021MF083)
- Postdoctoral Science Foundation of China (2022T150374)
- National Key Research and Development Program of China (2021YFE0193900)
This publication has 56 references indexed in Scilit:
- Model-Free Cooperative Adaptive Sliding-Mode-Constrained-Control for Multiple Linear Induction Traction SystemsIEEE Transactions on Cybernetics, 2019
- Semi-Markov Jump Linear Systems With Incomplete Sojourn and Transition Information: Analysis and SynthesisIEEE Transactions on Automatic Control, 2019
- Adaptive Neural Sliding Mode Control for Singular Semi-Markovian Jump Systems Against Actuator AttacksIEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019
- Model-free sliding mode control of nonlinear systems: Algorithms and experimentsInformation Sciences, 2017
- Robust sliding mode control for uncertain discrete singular systems with time-varying delays and external disturbancesAutomatica, 2017
- Network-Based Event-Triggered Control for Singular Systems With QuantizationsIEEE Transactions on Industrial Electronics, 2015
- Fault-Tolerant Sliding-Mode-Observer Synthesis of Markovian Jump Systems Using Quantized MeasurementsIEEE Transactions on Industrial Electronics, 2015
- Mixed H-Infinity and Passive Filtering for Discrete Fuzzy Neural Networks With Stochastic Jumps and Time DelaysIEEE Transactions on Neural Networks and Learning Systems, 2015
- Empirical estimation for discrete-time semi-Markov processes with applications in reliabilityJournal of Nonparametric Statistics, 2006
- Optimisation criteria in development of fuzzy controllers with dynamicsEngineering Applications of Artificial Intelligence, 2004