Journal
ABSTRACT AND APPLIED ANALYSIS
Volume -, Issue -, Pages -Publisher
HINDAWI PUBLISHING CORPORATION
DOI: 10.1155/2013/380105
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Funding
- National Natural Science Foundation of China [60974051, 61273144]
- Natural Science Foundation of Beijing [4122071]
- Fundamental Research Funds for the Central Universities [12MS143]
- Construction Project from Beijing Municipal Commission of Education
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Two automatic robust model predictive control strategies are presented for uncertain polytopic linear plants with input and output constraints. A sequence of nested geometric proportion asymptotically stable ellipsoids and controllers is constructed offline first. Then the feedback controllers are automatically selected with the receding horizon online in the first strategy. Finally, a modified automatic offline robust MPC approach is constructed to improve the closed system's performance. The new proposed strategies not only reduce the conservatism but also decrease the online computation. Numerical examples are given to illustrate their effectiveness.
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