Continuity and monotonicity of the MPC value function with respect to sampling time and prediction horizon

DOI10.1016/j.automatica.2015.10.042zbMath1329.93061OpenAlexW2103098629MaRDI QIDQ901222

Chris Manzie, Vincent Bachtiar, Eric C. Kerrigan, William H. Moase

Publication date: 23 December 2015

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10044/1/26554

zbMATH Keywords

optimizationoptimal controlcontrol system design

Mathematics Subject Classification ID

Sampled-data control/observation systems (93C57)

Related Items (3)

Interaction of open and closed loop control in MPC ⋮ Continuity and monotonicity of the MPC value function with respect to sampling time and prediction horizon ⋮ Unified Riccati Theory for Optimal Permanent and Sampled-Data Control Problems in Finite and Infinite Time Horizons

Cites Work

• On optimality of nonlinear model predictive control
• Continuity and monotonicity of the MPC value function with respect to sampling time and prediction horizon
• Model predictive control: recent developments and future promise
• The Optimal Sampling Pattern for Linear Control Systems
• Convergence properties of the Riccati difference equation in optimal filtering of nonstabilizable systems
• Efficient On-Line Computation of Constrained Optimal Control
• Numerical Optimization
• The stability of constrained receding horizon control
• On the behaviour of optimal linear sampled-data regulators†
• The explicit linear quadratic regulator for constrained systems

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