Finite-time l2-l∞ tracking control for Markov jump repeated scalar nonlinear systems with partly usable model information

Finite-time l2-l∞ tracking control for Markov jump repeated scalar nonlinear systems with partly usable model information
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具有部分可用模型信息的马尔可夫跳跃重复标量非线性系统的有限时间 l2-l 跟踪控制

DOI:
10.1016/j.ins.2015.10.043
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发表时间:
2016-03
影响因子:
8.1
通讯作者:
Ju H. Park
Ju H. Park
中科院分区:
计算机科学1区
文献类型:
--
作者:
Hao Shen;Feng Li;Zhengguang Wu;Ju H. Park

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研究了具有部分可用模型信息的马尔可夫跳跃重复标量非线性系统的有限时间l 2− l∞ 跟踪控制问题。部分可用的模型信息被认为遵循一定的伯努利分布白噪声序列。研究的目的是设计一个状态反馈控制器,使得增强闭环系统是均方随机有限时间有界的,并且在有限时间间隔内实现跟踪性能水平。通过使用依赖于模式的对角占优李亚普诺夫函数方法,为允许的状态反馈控制器的存在建立了一些充分条件。在此基础上,可以使用简单的矩阵解耦方法构建状态反馈控制器。提出了两个数值例子和修改后的一般经济模型来证明我们提出的方法的有效性。
This paper studies the problem of finite-time l 2− l∞ tracking control for Markov jump repeated scalar nonlinear systems with partly usable model information. The partly usable model information is considered following a certain Bernoulli distributed white noise sequence. The objective of the study is to design a state-feedback controller such that the augmented closed-loop system is mean-square stochastically finite-time bounded, and a tracking performance level is achieved over a finite time interval. By using the mode-dependent diagonally dominant Lyapunov function approach, some sufficient conditions are established for the existence of an admissible state-feedback controller. Based on these, a state-feedback controller can be constructed by using a simple matrix decoupling approach. Two numerical examples and a modified general economic model are presented to demonstrate the effectiveness of our proposed approach.
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