Adaptive Self‐Triggered Non‐Fragile Control for Nonhomogeneous Semi‐Markov Switching Systems Under Deception Attacks

Abstract

ABSTRACT The adaptive self‐triggered non‐fragile control is studied for nonhomogeneous semi‐Markov jump systems with deception attacks. Because network information transmission is vulnerable to cyber attacks, an adaptive self‐triggered strategy is proposed to significantly save network resources, in which the threshold can flexibly decide whether to carry out data transmission, thus showing a strong resource optimization ability. Owing to the fact that the actuator failure may lead to abnormal fluctuations or irregular changes in the output action, a non‐fragile controller is proposed under a certain degree of parameter perturbation. The main novelty is the design of an adaptive self‐triggered strategy to realize better dynamic performance, overcoming the difficulty caused by deception attacks. Furthermore, the desired adaptive self‐triggered non‐fragile controller is constructed to guarantee the stochastic stability for the corresponding system. Finally, the single‐link robotic arm system is verified to ensure the feasibility of the theoretical results presented.