Multi-objective performance optimisation for model predictive control by goal attainment

DOI10.1080/00207171003736295zbMath1200.93090OpenAlexW2136189091MaRDI QIDQ3161168

Charles James Taylor, Vasileios Exadaktylos

Publication date: 12 October 2010

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207171003736295

zbMATH Keywords

model predictive controldecouplingnon-minimal state spaceoptimal controller tuning

Mathematics Subject Classification ID

Related Items (6)

Efficient MPC algorithms with variable trajectories of parameters weighting predicted control errors ⋮ Non-minimal state variable feedback decoupling control for multivariable continuous-time systems ⋮ Tuning of multivariable model predictive controllers through expert bandit feedback ⋮ An improved decoupling structure based state space MPC design with improved performance ⋮ An improved state-space model structure and a corresponding predictive functional control design with improved control performance ⋮ Robustness evaluation and robust design for proportional-integral-plus control

Cites Work

• Robust constrained model predictive control using linear matrix inequalities
• Computation of the constrained infinite time linear quadratic regulator
• An algorithm for multi-parametric quadratic programming and explicit MPC solutions
• Direct digital and adaptive control by input-output state variable feedback pole assignment
• Proportional-integral-plus (PIP) design for delta (delta) operator systems Part 2. MIMO systems
• State space control system design based on non-minimal state-variable feedback: Further generalization and unification results
• The explicit linear quadratic regulator for constrained systems

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