DocumentCode
2317664
Title
Improved Robust Model Predictive Control With Structural Uncertainty
Author
Le Feng ; Wang, Jianliang ; Poh, Engkee ; Liao, Fang
Author_Institution
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
fYear
2006
fDate
5-8 Dec. 2006
Firstpage
1
Lastpage
5
Abstract
In this paper, a dilation of the LMI characterization is presented to address constrained robust model predictive control (MPC) for a class of uncertain linear systems with structured time-varying uncertainties. The uncertainty is described in linear fractional transformation (LFT) form. It is known such uncertain systems are popularly used in nonlinear system modeling and many other circumstances. By using parameter dependent Lyapunov functions, the designing conservativeness is reduced compared with some well-known MPC approaches. The proposed approach is applied to a two-mass-spring benchmark system to demonstrate the merits
Keywords
Lyapunov methods; linear matrix inequalities; linear systems; predictive control; robust control; time-varying systems; uncertain systems; LMI characterization; linear fractional transformation form; parameter dependent Lyapunov functions; robust model predictive control; structural uncertainty; structured time-varying uncertainties; uncertain linear systems; Laboratories; Linear matrix inequalities; Linear systems; Lyapunov method; Open loop systems; Predictive control; Predictive models; Robust control; Symmetric matrices; Uncertainty; Linear matrix inequalities; Model Predictive Control; Parameter dependent Lyapunov function; Structured uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on
Conference_Location
Singapore
Print_ISBN
1-4244-0341-3
Electronic_ISBN
1-4214-042-1
Type
conf
DOI
10.1109/ICARCV.2006.345196
Filename
4150106
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