Distributed Model Predictive Control of Switched Nonlinear System

被引：0

作者：

Heidarinejad, Mohsen ^{[2
]}

Liu, Jinfeng ^{[1
]}

Christofides, Panagiotis D. ^{[1
]}

机构：

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

[2] Univ Calif Los Angeles, Dept Elect Engn, Los Angeles, CA 90095 USA

来源：

2012 AMERICAN CONTROL CONFERENCE (ACC) | 2012年

基金：

美国国家科学基金会;

关键词：

ARCHITECTURES;

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 work, we present a framework for the design of distributed model predictive control systems for a broad class of switched nonlinear systems for which the mode transitions take place according to a prescribed switching schedule. Under appropriate stabilizability assumptions on the existence of a set of feedback controllers that can stabilize the closed-loop switched, nonlinear system, we design a cooperative, distributed model predictive control architecture using Lyapunov-based model predictive control in which the distributed controllers carry out their calculations in parallel and communicate in an iterative fashion to compute their control actions. The proposed distributed model predictive control design is applied to a nonlinear chemical process network with scheduled mode transitions.

引用

页码：3198 / 3203

页数：6

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