Receding horizon H∞ control for nonlinear systems with tensor product model transformation

被引：0

作者：

Chang, Fei ^{[1
]}

Zhao, Guoliang ^{[1
]}

机构：

[1] Inner Mongolia Univ, Coll Elect Informat Engn, Hohhot 010021, Peoples R China

来源：

PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE | 2020年

基金：

中国国家自然科学基金;

关键词：

Receding horizon control (RHC); tensor product(TP) model; TP model transformation; chaotic system; linear parameter-varying (LPV); CONSENSUS;

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：

In this paper, a novel tensor-product based receding horizon H-infinity control (TPRHHC) method for nonlinear systems with external disturbance is proposed. A new set of matrix inequality conditions on the terminal weighting matrix is proposed for TP modeled nonlinear systems wherein non-increasing monotonicity of the optimal cost is guaranteed. Under the set of terminal inequality conditions, the proposed TPRHHC method guarantees the infinite horizon H-infinity performance for parameter-varying weighted systems with external disturbance. As an application of the proposed control method, three examples are simulated, Mass-Spring-Damper mechanical system is done to illustrate the effectiveness of TPRHHC, moreover, a synchronization problem for the Lorenz system and a regulation problem of an autonomous chaotic system are investigated.

引用

页码：2150 / 2157

页数：8

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