A constraint-separation principle in model predictive control

DOI10.1016/j.automatica.2020.109190zbMath1448.93079arXiv2005.01296OpenAlexW3021741807MaRDI QIDQ2003840

Uroš V. Kalabić, Ilya V. Kolmanovsky

Publication date: 5 October 2020

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2005.01296

zbMATH Keywords

model predictive controlconstrained systemsconstrained control system design

Mathematics Subject Classification ID

Feedback control (93B52) Model predictive control (93B45)

Related Items (1)

Reference governor-based fault-tolerant constrained control

Uses Software

• MPT

Cites Work

• Constrained linear systems with hard constraints and disturbances: an extended command governor with large domain of attraction
• Barrier Lyapunov functions for the control of output-constrained nonlinear systems
• A unified framework for the study of anti-windup designs
• Who needs QP for linear MPC anyway?
• Reference and command governors for systems with constraints: A survey on theory and applications
• Efficient robust predictive control
• Efficient algorithms for trading off feasibility and performance in predictive control
• Efficient Numerical Methods for Nonlinear MPC and Moving Horizon Estimation
• Neural net based model predictive control
• Model Predictive Control Tuning by Controller Matching
• Experiments in Verification of Linear Model Predictive Control: Automatic Generation and Formal Verification of an Interior Point Method Algorithm
• Hybrid Systems: Computation and Control
• Optimality of linear control systems

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