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
复制标题
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
复制
发表时间:
2016-03
影响因子:
8.1
通讯作者:
Ju H. Park
中科院分区:
文献类型:
--
作者:
Hao Shen;Feng Li;Zhengguang Wu;Ju H. Park
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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DOI:
10.1016/j.jfranklin.2014.04.024
发表时间:
2014-08
期刊:
Journal of the Franklin Institute
影响因子:
--
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影响因子:
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DOI:
10.1002/cplx.21610
发表时间:
2015-11
期刊:
Complex.
影响因子:
--
作者:
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通讯作者:
Jianwei Xia;Ju H. Park;Baoyong Zhang;Hao Shen