Model Predictive Control of Discrete T-S Fuzzy Systems with Time-varying Delay

被引：0

作者：

Teng, Long ^{[1
,2
]}

Wang, Youyi ^{[2
]}

Cai, Wenjian ^{[2
]}

Li, Hua ^{[3
]}

机构：

[1] Nanyang Technol Univ, Interdisciplinary Grad Sch, Energy Res Inst NTU, Singapore, Singapore

[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore

[3] Nanyang Technol Univ, Sch Mech & Aerosp Engn, Singapore, Singapore

来源：

2016 14TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV) | 2016年

关键词：

ROBUST STABILIZATION; LINEAR-SYSTEMS; STATE DELAY; STABILITY; THEOREMS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Robust model predictive control of discrete non-linear systems with bounded time-varying delay and persistent disturbances is investigated in this paper. The T-S fuzzy systems are utilized to represent nonlinear systems. A Razumikhin-type Lyapunov function is adopted for time-delay systems due to its advantage in reducing the complexity especially for systems with large delays and disturbances. The robust positive invariance set theory for systems subjected to time-varying delay and disturbances is analyzed. In addition, the input-to-state stability is realized due to persistent disturbances. The controller synthesis conditions are derived by solving a sequence of matrix inequalities. Simulation on a continuous stirred-tank reactor (CSTR) is illustrated to verify the effectiveness of the proposed method.

引用

页数：6

共 23 条

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