Event-Based Asynchronous Output Feedback Control for Nonlinear Markov Jump Systems With Partially Unknown Transition Probabilities

被引：5

作者：

Li, Chuanjiang ^{[1
]}

Ran, Guangtao ^{[1
]}

Liu, Jian ^{[2
]}

Sakthivel, Rathinasamy ^{[3
]}

Gao, Yufeng ^{[4
]}

机构：

[1] Harbin Inst Technol, Dept Control Sci & Engn, Harbin 150001, Peoples R China

[2] Southeast Univ, Sch Automat, Nanjing 210096, Peoples R China

[3] Bharathiar Univ, Dept Appl Math, Coimbatore 641046, Tamil Nadu, India

[4] China Acad Space Technol, Beijing Inst Spacecraft Syst Engn, Beijing 100094, Peoples R China

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2022年 / 69卷 / 08期

基金：

中国国家自然科学基金;

关键词：

Hidden Markov models; Output feedback; Uncertain systems; Symmetric matrices; Markov processes; Switches; Computational modeling; Event-triggered control; Markov jump systems; interval type-2 fuzzy model; unknown probabilities;

D O I：

10.1109/TCSII.2022.3162746

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This brief investigates the event-triggered output feedback control problem for nonlinear Markov jump systems (NMJSs) with unknown probabilities. The NMJSs with parameter uncertainties are characterized by using the interval type-2 (IT2) fuzzy model. An adaptive event-triggered strategy is utilized to decide when to transmit, which can reduce communication costs. The output feedback controller is designed, where the modes can be allowed different with the system, and the conditional probability matrix does not require completely known. Then, an event-based asynchronous output feedback control approach is proposed for obtaining the required result. With the aid of an example, we demonstrate the effectiveness of the event-based asynchronous output control algorithms.

引用

页码：3525 / 3529

页数：5

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