Unconstrained model predictive control and suboptimality estimates for nonlinear continuous-time systems

被引：84
|
作者：
Reble, Marcus [1 ]
Allgoewer, Frank [1 ]
机构：
[1] Univ Stuttgart, Inst Syst Theory & Automat Control, D-70550 Stuttgart, Germany
来源：
AUTOMATICA | 2012年 / 48卷 / 08期
关键词：
Predictive control; Nonlinear control; Stability; Suboptimality; Controllability; RECEDING-HORIZON CONTROL; CONSTRAINED MPC; STABILITY; SCHEMES;
D O I：
10.1016/j.automatica.2012.05.067
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 paper presents a continuous-time version of recent results on unconstrained nonlinear model predictive control (MPC) schemes. Based on a controllability assumption and a corresponding infinite-dimensional optimization problem, performance estimates and stability conditions are derived in terms of the prediction horizon and the sampling time of the MPC controller. Moreover, improved estimates for small sampling times are discussed and a comparison to the application of the discrete-time results in a sampled-data context is provided. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1812 / 1817
页数：6
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