CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 平行控制
Online fault compensation control based on policy iteration algorithm for a class of affine nonlinear systems with actuator failures
Zhao B(赵博)
Source PublicationIET Control Theory & Applications
2016
Volume10Issue:15Pages:1816-1823
Abstract
In this study, a novel online fault compensation control scheme based on policy iteration (PI) algorithm is developed for a class of affine non-linear systems with actuator failures. The control scheme consists of a PI algorithm and a fault compensator. For fault-free dynamic models, the PI algorithm is developed to solve the Hamilton–Jacobi–Bellman equation by constructing a critic neural network, and then the approximate optimal control policy can be derived directly. Alternatively, the actuator failure is reconstructed adaptively to achieve online fault compensation without the fault detection and isolation mechanism. The closed-loop system is proved to be asymptotically stable via Lyapunov's direct method. Two numerical simulation examples are given to demonstrate the effectiveness of the proposed fault compensation control scheme.
Keyword自适应动态规划 容错控制
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20329
Collection复杂系统管理与控制国家重点实验室_平行控制
Recommended Citation
GB/T 7714
Zhao B. Online fault compensation control based on policy iteration algorithm for a class of affine nonlinear systems with actuator failures[J]. IET Control Theory & Applications,2016,10(15):1816-1823.
APA Zhao B.(2016).Online fault compensation control based on policy iteration algorithm for a class of affine nonlinear systems with actuator failures.IET Control Theory & Applications,10(15),1816-1823.
MLA Zhao B."Online fault compensation control based on policy iteration algorithm for a class of affine nonlinear systems with actuator failures".IET Control Theory & Applications 10.15(2016):1816-1823.
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