Observer-based sliding mode control for fuzzy stochastic switching systems with deception attacks

This paper discusses the issue of observer-based sliding mode control for fuzzy stochastic semi-Markov switching systems (S-MSSs) under cyber attacks. The underlying control signal is vulnerable to the deception attacks, in which the opponents inject fake data into the signal in a probabilistic way. Inspired by the unmeasurable states, an integral sliding surface dependent on a fuzzy observer is designed. Then, in consideration of the deception attacks, the conditions are established to achieve the stochastic stability for fuzzy sliding mode dynamics. Moreover, the proposed observer-based sliding mode control law guarantees the reachability of the sliding region. In the end, the simulation study on a single-link robot arm model is given to demonstrate the availability of the given results. (C) 2022 Elsevier Inc. All rights reserved.

Automated summary

This paper discusses the observer-based sliding mode control for fuzzy stochastic semi-Markov switching systems (S-MSSs) under cyber attacks. Conditions are established to achieve stochastic stability for the fuzzy sliding mode dynamics, considering deception attacks. The proposed controller guarantees the reachability of the sliding region and is validated through simulation study on a single-link robot arm model.