Control Lyapunov-Barrier Function-Based Economic Model Predictive Control of Nonlinear Systems

被引：2
|
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：
IFAC PAPERSONLINE | 2018年 / 51卷 / 20期
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; STABILIZATION;
D O I：
10.1016/j.ifacol.2018.10.173
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 process 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, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：48 / 53
页数：6
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