燕山大学学报2025，Vol.49Issue(1)：22-33,12.DOI:10.3969/j.issn.1007-791X.2025.01.003
延迟全状态约束下不确定非线性系统的自适应容错控制
Adaptive fault-tolerant control for uncertain nonlinear systems with deferred full state constraints
摘要
Abstract
An adaptive neural network fault-tolerant control strategy is proposed for a class of uncertain nonlinear systems with deferred time-varying full state constraints.Firstly,the shifting function is designed to ensure the initial values of the system which violate the constraints return to the constraint ranges before predetermined time.Secondly,a new nonlinear state transformation function is established to transform the constrained system into an unconstrained system,which solve the full state constraint problem.Thirdly,the radial basis function neural network and adaptive technology are respectively used to address the uncertainty and actuator fault.Fourthly,according to Lyapunov theory,it is proved that the closed-loop system is practical finite-time stable,all states maintain within the constraints after predefined time.Finally,the effectiveness of the designed adaptive fault-tolerant control strategy is verified by actual simulation.关键词
不确定非线性系统/全状态约束/状态变换函数/神经网络/执行器故障/实际有限时间稳定Key words
uncertain nonlinear system/full state constraints/state transformation function/neural network/actuator failure/practical finite time stability分类
信息技术与安全科学引用本文复制引用
赵瑞莹,王芳,周超,王春艳..延迟全状态约束下不确定非线性系统的自适应容错控制[J].燕山大学学报,2025,49(1):22-33,12.基金项目
河北省高等学校科学技术研究项目(ZD2022012) （ZD2022012）
河北省自然科学基金资助项目(F2020203105,F2022203085) （F2020203105,F2022203085）
国家自然科学基金资助项目(62073234) （62073234）
秦皇岛市科技研究与发展项目(202101A264) （202101A264）
