Safe economic model predictive control of nonlinear systems

被引：23

作者：

Wu, Zhe ^{[1
]}

Durand, Helen ^{[2
]}

Christofides, Panagiotis D. ^{[1
,3
]}

机构：

[1] Univ Calif Los Angeles, Dept Chem & Biomol Engn, Los Angeles, CA 90095 USA

[2] Wayne State Univ, Dept Chem Engn & Mat Sci, Detroit, MI 48202 USA

[3] Univ Calif Los Angeles, Dept Elect & Comp Engn, Los Angeles, CA 90095 USA

来源：

SYSTEMS & CONTROL LETTERS | 2018年 / 118卷

基金：

美国国家科学基金会;

关键词：

Process operational safety; Model predictive control; Control Lyapunov-barrier functions; Nonlinear systems; Chemical processes; BARRIER FUNCTION; STABILIZATION;

D O I：

10.1016/j.sysconle.2018.05.013

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This work focuses on the design of a new class of economic model predictive control (EMPC) systems for nonlinear systems that address simultaneously the tasks of economic optimality, safety and closed-loop stability. This is accomplished by incorporating in the EMPC an economics-based cost function and Control Lyapunov-Barrier Function (CLBF)-based constraints that ensure that the closed-loop state does not enter unsafe sets and remains within a well-characterized set in the system state-space. The new class of CLBF-EMPC systems is demonstrated using a nonlinear chemical process example. (C) 2018 Elsevier B.V. All rights reserved.

引用

页码：69 / 76

页数：8

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