A novel network-based controller design for a class of stochastic nonlinear systems with multiple faults and full state constraints

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...

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Bibliographic Details
Published in:International journal of control 2024-04, Vol.97 (4), p.651-661
Main Authors: Li, Na, Han, Yu-Qun, He, Wen-Jing, Zhu, Shan-Liang
Format: Article
Language:English
Subjects:
Actuators
Adaptive control
Closed loops
Constraints
Control systems design
Controllers
Fault tolerance
Faults
Feedback control
full state constraints
Liapunov functions
multi-dimensional Taylor networks
multiple faults
Nonlinear systems
Stochastic nonlinear systems
Stochastic systems
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Summary: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.
ISSN:0020-7179
1366-5820
DOI:10.1080/00207179.2022.2163297