Long horizon input parameterisations to enlarge the region of attraction of MPC
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Publication:2800473
DOI10.1002/oca.2158zbMath1333.93107OpenAlexW1481295180MaRDI QIDQ2800473
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Publication date: 15 April 2016
Published in: Optimal Control Applications and Methods (Search for Journal in Brave)
Full work available at URL: http://eprints.whiterose.ac.uk/96904/1/ocadoc.pdf
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Cites Work
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- Least-restrictive move-blocking model predictive control
- Computation of the constrained infinite time linear quadratic regulator
- Enlarging the domain of attraction of MPC controllers
- Using interpolation to improve efficiency of multiparametric predictive control
- Constrained model predictive control: Stability and optimality
- Model predictive control. With a foreword by M. J. Grimble and M. A. Johnson
- More efficient predictive control
- Efficient robust predictive control
- Alternative parameterisation within predictive control: a systematic selection
- Interpolation methods in model predictive control: an overview
- Efficient algorithms for trading off feasibility and performance in predictive control
- Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
- Linear systems with state and control constraints: the theory and application of maximal output admissible sets
- Constrained linear quadratic regulation
- State-space approach to interpolation in MPC
- Optimizing prediction dynamics for robust MPC
- The explicit linear quadratic regulator for constrained systems
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