Reliable Output Feedback Control of Discrete-Time Fuzzy Affine Systems With Actuator Faults

Reliable Output Feedback Control of Discrete-Time Fuzzy Affine Systems With Actuator Faults
复制标题

具有执行器故障的离散时间模糊仿射系统的可靠输出反馈控制

DOI:
10.1109/tcsi.2016.2605685
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发表时间:
2017
影响因子:
5.1
通讯作者:
Karimi Hamid Reza
Karimi Hamid Reza
中科院分区:
工程技术2区
文献类型:
--
作者:
Wei Yanling;Qiu Jianbin;Karimi Hamid Reza

文献摘要

被引文献

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本文作者Hamid Reza Karimi违反了IEEE的出版伦理原则,人为地夸大了这篇文章的引用次数。本文在广义系统框架下研究了具有执行器故障的非线性系统的鲁棒可靠的静态输出反馈控制。非线性对象的特点是离散时间的Takagi-Sugeno(T-S)模糊仿射模型的参数不确定性,和马尔可夫链被用来描述执行器故障行为。具体地说,通过采用状态输出增广方法,原系统首先被重构为广义模糊仿射系统。基于一种新的分段马尔可夫李雅普诺夫函数(LF),给出了底层系统的性能分析条件,进而进行了鲁棒可靠的SOF控制器的综合。它表明,通过调用的冗余属性引起的描述符制定,结合一些凸化技术,所需的可靠控制器的存在性可以明确地确定一个凸优化问题的解决方案。最后,仿真研究应用于确认所开发的方法的有效性。
Notice of Violation of IEEE Publication PrinciplesAfter careful consideration by a duly constituted committee, an author of this article, Hamid Reza Karimi, was found to have acted in violation of the IEEE Principles of Ethical Publishing by artificially inflating the number of citations to this article.This article studies the robust and reliablestatic output feedback (SOF) control for nonlinear systems with actuator faults in a descriptor system framework. The nonlinear plant is characterized by a discrete-time Takagi-Sugeno (T-S) fuzzy affine model with parameter uncertainties, and the Markov chain is utilized to describe the actuator-fault behaviors. Specifically, by adopting a state-output augmentation approach, the original system is firstly reformulated into the descriptor fuzzy affine system. Based upon a novel piecewise Markovian Lyapunov function (LF), theperformance analysis condition for the underlying system is then presented, and furthermore the robust and reliable SOF controller synthesis is carried out. It is shown that by invoking the redundancy properties induced by the descriptor formulation, combined with some convexifying techniques, the existence of the desired reliable controller can be explicitly determined by the solution of a convex optimization problem. Finally, simulation studies are applied to confirm the effectiveness of the developed method.