Event‐triggered adaptive neural control for stochastic nontriangular structure nonlinear systems with multisensor and actuator failures: The practical fixed‐time stability

Abstract

Summary This article is concerned with the issue of event‐triggered adaptive fixed‐time control with sensor and actuator faults for stochastic nontriangular structure nonlinear system (SNSNS). The main difficulty in this article is the design of a novel and stable controller for SNSNS to compensate for the effect of sensor and actuator faults with event‐triggered control (ETC) in a unified framework. The mean value theorem (MVT) and ETC method are introduced to solve the questions of nonaffine structure and communication burden. Meanwhile, with the aid of adaptive neural network and fixed‐time theory, a novel controller is proposed by backstepping technology, which can ensure all the closed‐loop signals are bounded in probability within a fixed time as well avoid Zeno behavior. At last, the simulation is carried out to demonstrate the effectiveness of the proposed scheme.