Model predictive control for perturbed continuous piecewise affine systems with bounded disturbances

被引：12
|
作者：
Necoara, I [1 ]
De Schutter, B [1 ]
van den Boom, TJJ [1 ]
Hellendoorn, J [1 ]
机构：
[1] Delft Univ Technol, Delft Ctr Syst & Control, NL-2628 CD Delft, Netherlands
来源：
2004 43RD IEEE CONFERENCE ON DECISION AND CONTROL (CDC), VOLS 1-5 | 2004年
关键词：
D O I：
10.1109/CDC.2004.1430316
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Continuous piecewise-affine systems are a powerful tool for describing or approximating both nonlinear and hybrid systems. In this paper we extend the Model Predictive Control (MPC) framework for continuous piecewise-affine systems that we have developed previously to deterministic uncertainty. We show that the resulting MPC optimization problem can be transformed into a sequence of linear optimization problems (LP), which can be solved very efficiently.
引用
收藏
页码：1848 / 1853
页数：6
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