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Rigid Tube Model Predictive Control for Linear Sampled-data Systems

Title
Rigid Tube Model Predictive Control for Linear Sampled-data Systems
Type
Article in International Conference Proceedings Book
Year
2017
Authors
Rakovic, SV
(Author)
Other
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Kolmanovsky, IV
(Author)
Other
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Conference proceedings International
Pages: 9840-9845
20th World Congress of the International-Federation-of-Automatic-Control (IFAC)
Toulouse, FRANCE, JUL 09-14, 2017
Other information
Authenticus ID: P-00N-4ZD
Abstract (EN): We consider the problem of robust model predictive control for linear sampled data dynamical systems subject to state and control constraints and additive and bounded disturbances. We propose a rigid tube model predictive control algorithm utilizing recent and topologically compatible notions for the sampled data forward reach sets as well as robust positively invariant sets. The proposed method inherits almost all desirable features associated with rigid tube model predictive control of discrete-time systems, and, in addition, it ensures robust constraint satisfaction and safety in a continuous-time sense.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 6
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Reachability and Invariance for Linear Sampled data Systems (2017)
Article in International Conference Proceedings Book
Rakovic, SV; Fontes, Fernando A C C; Kolmanovsky, IV
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