Observer design in receding-horizon predictive control

DOI10.1080/00207179508921897zbMath0817.93026OpenAlexW2042524339MaRDI QIDQ4698747

Tae-Woong Yoon, David W. Clarke

Publication date: 11 May 1995

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

Full work available at URL: https://doi.org/10.1080/00207179508921897

zbMATH Keywords

robustnesscharacteristic polynomialpredictive control\(H_ \infty\)-optimal controlprefiltering polynomial

Mathematics Subject Classification ID

Design techniques (robust design, computer-aided design, etc.) (93B51) Discrete-time control/observation systems (93C55) (H^infty)-control (93B36) Linear systems in control theory (93C05) Observability (93B07) Linear-quadratic optimal control problems (49N10)

Related Items

Robustness analysis and tuning of generalized predictive control using frequency domain approaches, Enhancing the robustness of GPC via a simple choice of the Youla parameter, GPC robust design using linear and/or bilinear matrix inequalities, GPC with structured perturbations: the influence of prefiltering and terminal equality constraints, Robust predictive control of systems with uncertain impulse response, Disturbance‐driven model predictive control by means of Youla–Kučera parameter switching with an application to drainage canal control, Survey of industrial optimized adaptive control, Robust design of GPC for processes with time delay, The principle of robustness in generalized predictive control, Ambulatory wireless sensor network power management using constrained explicit generalised predictive control, Adaptive predictive control of the benchmark plant

Cites Work

• Unnamed Item
• Unnamed Item
• Properties of generalized predictive control
• Pole/zero cancellations in the general \({\mathcal H}_\infty\) problem with reference to a two block design
• Generalized predictive control. I: The basic algorithm
• Robust performance of decentralized control systems by independent designs
• Stable redesign of predictive control
• Receding-horizon predictive control with exponential weighting
• Asymptotic recovery for discrete-time systems