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Robust Fault-Tolerant Control for a Class of Nonlinear Stochastic Systems With Variance Constraints

机译:一类具有方差约束的非线性随机系统的鲁棒容错控制

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摘要

This paper is concerned with the variance-constrained controller design problem for a class of uncertain nonlinear stochastic systems with possible actuator faults. The stochastic nonlinearities described by statistical means are quite general that include several well-studied classes of nonlinearities as special cases. A model of actuator failures is adopted, which is more practical than the traditional outage one. A linear matrix inequality (LMI) approach is proposed to solve the multiobjective fault-tolerant controller design problem, where both the exponential stability and the steady-state state variance indices are simultaneously guaranteed. Within the developed LMI framework, a sufficient condition for the solvability of the robust control problem is obtained. The explicit expression of the desired controllers is also parameterized and a single degree-of-freedom model is used to demonstrate the effectiveness and applicability of the proposed design approach.
机译:本文涉及一类不确定的非线性随机系统,可能存在执行器故障,其方差约束控制器设计问题。用统计方法描述的随机非线性是相当普遍的,其中包括一些经过特殊研究的非线性类别。采用了一种执行器故障模型,比传统的故障模型更为实用。提出了一种线性矩阵不等式(LMI)方法来解决多目标容错控制器的设计问题,即同时保证指数稳定性和稳态方差指标。在已开发的LMI框架内,获得了解决鲁棒控制问题的充分条件。还对所需控制器的显式表达进行了参数化,并使用单个自由度模型来证明所提出设计方法的有效性和适用性。

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