期刊
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
卷 66, 期 3, 页码 1130-1140出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCSI.2018.2876937
关键词
Semi-Markov jump systems; singularly perturbed systems; networked control systems; T-S fuzzy control; signal quantization; packet dropouts
资金
- NNSFC [61873002, 61703004, 61833005, 61503002, 61673339, 61573201]
- National Natural Science Foundation of Anhui Province [1708085MF165, 1808085QA18]
- University Excellent Young Talents Foundation of Anhui Province [gxyqZD2017041]
- China Postdoctoral Science Foundation [2018M632206]
- Jiangsu Provincial Key Laboratory of Networked Collective Intelligence [BM2017002]
This paper deals with the quantized control problem for nonlinear semi-Markov jump systems subject to singular perturbation under a network-based framework. The nonlinearity of the system is well solved by applying Takagi-Sugeno (T-S) fuzzy theory. The semi-Markov jump process with the memory matrix of transition probability is introduced, for which the obtained results are more reasonable and less limiting. In addition, the packet dropouts governed by a Bernoulli variable and the signal quantization associated with a logarithmic quantizer are deeply studied. The major goal is to devise a fuzzy controller, which not only assures the mean-square (sigma) over bar -error stability of the corresponding system but also allows a higher upper bound of the singularly perturbed parameter. Sufficient conditions are developed to make sure that the applicable controller could be found. The further examination to demonstrate the feasibility of the presented method is given by designing a controller of a series DC motor model.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据