Interpolation methods in model predictive control: an overview
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Publication:3550795
DOI10.1080/00207170903148106zbMath1184.93044OpenAlexW2010334333MaRDI QIDQ3550795
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Publication date: 6 April 2010
Published in: International Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207170903148106
Feedback control (93B52) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05)
Related Items (7)
Robust and nonlinear control literature survey (No. 17) ⋮ Adaptive interpolating control for constrained systems with parametric uncertainty and disturbances ⋮ Reduced-complexity interpolating control with periodic invariant sets ⋮ Robust estimation-based control strategies for induction motors ⋮ Model predictive control design for polytopic uncertain systems by synthesising multi-step prediction scenarios ⋮ Long horizon input parameterisations to enlarge the region of attraction of MPC ⋮ Move blocked model predictive control with guaranteed stability and improved optimality using linear interpolation of base sequences
Cites Work
- Robust constrained model predictive control using linear matrix inequalities
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- Linear quadratic feasible predictive control
- An efficient off-line formulation of robust model predictive control using linear matrix inequalities
- Optimizing the end-point state-weighting matrix in model-based predictive control
- Set invariance in control
- Efficient robust constrained model predictive control with a time varying terminal constraint set
- Constrained linear MPC with time-varying terminal cost using convex combinations
- Computationally efficient algorithms for constraint handling with guaranteed stability and near optimality
- Robust triple mode MPC
- Linear systems with state and control constraints: the theory and application of maximal output admissible sets
- Robust receding horizon control of constrained nonlinear systems
- Constrained linear quadratic regulation
- Interpolation based computationally efficient predictive control
- State-space approach to interpolation in MPC
- General interpolation in mpc and its advantages
- An algorithm for reducing complexity in parametric predictive control
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