青岛科技大学主页平台管理系统朱善良--朱善良-- A novel network-based controller design for a class of stochastic nonlinear systems with multiple faults and full state constraints

A novel network-based controller design for a class of stochastic nonlinear systems with multiple faults and full state constraints: 点击次数：; 关键字：BARRIER LYAPUNOV FUNCTIONS; TRACKING CONTROL; TOLERANT CONTROL; NEURAL-CONTROL; OBSERVER; 摘要：In this paper, the control issue of adaptive fault-tolerant is studied for a class of stochastic nonlinear systems with multiple faults and full state constraints, with multiple faults including the actuator faults and the external system fault. The problem with full state constraints are solved by constructing a logarithmic barrier Lyapunov functions (BLFs). By integrating multi-dimensional Taylor network (MTN) technology into the backstepping process, a new adaptive MTN-based fault-tolerant controller is designed. On the basis of considering multiple faults, the proposed control strategy can ensure that all signals in the closed-loop system are semi-global ultimately uniformly bounded (SGUUB) in probability, and all states of the system are constrained within the given boundary. Finally, three simulation examples are given to illustrate the effectiveness and practicability of the proposed control strategy.; 卷号：97; 期号：4; 是否译文：否

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