An improved approach for constrained robust model predictive control

By Francesco Alessandro Cuzzola, José Claudio Geromel, Manfred Morari. at - Automatisierungstechnik, 2002

431 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/319fcdd8de39b05d72e33a80d70542a058ed31da

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In Control and Systems Engineering

1. Luis A. Aguirre
2. Leonardo A. B. Tôrres
3. J. Chandrasekar
4. Sarah Dennis
5. Samuel S. Bernstein
6. Xavier Vazhappilly Francis
7. Publisher Taylor
8. Johan Löfberg

Citations in the corpus

• Minimax approaches to robust model predictive control (2003, methodology): “One approach towards a stronger parameterization is (Cuzzola et al., 2002) where a more flexible Lyapunov function is used.”
• Robust constrained model predictive control (2005, background): “The resulting optimization problems typically involve Linear Matrix Inequalities [26, 23, 25], dynamic programming [24], or linear programming (LP), and/or quadratic programming (QP) [21, 22, 27, 12].”
• Ltd Registered in England and Wales Registered Number : 1072954 Registered office : (2004, methodology): “In the existing literature, there are various techniques of robust model predictive control (MPC) for the uncertain systems with polytopic description (Cychowski and O’Mahony 2010; Ding, Huang, and Xu 2010; Li and Xi 2010). It is often difficult to choose a satisfactory technique if the users have s”