NDLI: A Stabilizing Model Predictive Control for Linear Systems with Input Saturation

Content Provider	IEEE Xplore Digital Library
Author	Zhi-Jun Li Wen Tan Si-Cheng Nian Ji-Zhen Liu
Copyright Year	2006
Description	Author affiliation: Coll. of Electromech. Eng., North China Electr. Power Univ., Beijing (Zhi-Jun Li)
Abstract	A stabilizing model predictive control (MPC) strategy is proposed for linear systems with input saturation. A saturated linear feedback controller is selected as the local stabilizing controller. The terminal constraint set and terminal cost function can be computed by solving a corresponding semi-definite programming (SDP) problem. Then the control action is obtained by solving a second order cone programming (SOCP) problem on-line. Feasibility of SOCP problem implies the stability of the closed-loop system. Simulation shows that the proposed algorithm has a larger region of attraction than existed stabilizing MPC algorithms
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	671
Ending Page	675
File Size	206705
Page Count	5
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.258397
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive models Predictive control Linear systems Stability Control systems Cost function Industrial control Sampling methods Closed loop systems Power system modeling Set invariance Input saturation Model predictive control
Content Type	Text
Resource Type	Article

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