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.
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页数：6
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