Economic Model Predictive Control of Sampled-Data Linear Systems With Piecewise Constant Control

被引:1
|
作者
Liang, Haojiao [1 ]
Li, Huiping [1 ]
Xu, Demin [1 ]
机构
[1] Northwestern Polytech Univ, Sch Marine Sci & Technol, Xian 710072, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
TO-STATE-STABILITY; OPTIMIZATION;
D O I
10.1115/1.4044357
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The paper studies an economic model predictive control (EMPC) problem for sampled-data linear systems with system constraints. The cost function consists of an economic part and a regulatory part, and a new EMPC algorithm with piecewise constant control is designed. Iterative feasibility of the designed optimization problem and input-to-state stability (ISS) of the closed-loop system are proved. In particular, we show that the closed-loop system is input-to-state stable with respect to the supremum norm of the economic cost, and the system state is ultimately bounded within a bound determined by the economic cost. Through thorough simulations, the effectiveness of the designed algorithm is verified and the tradeoff between control and economic performance is demonstrated.
引用
收藏
页数:8
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