Constrained receding horizon predictive control for nonlinear systems

DOI10.1016/S0005-1098(02)00133-4zbMath1017.93043OpenAlexW2173912147MaRDI QIDQ1858346

Yanyan Li

Publication date: 13 February 2003

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0005-1098(02)00133-4

zbMATH Keywords

linear programminglinearizationnonlinear discrete-time systemsfeasibilitylinear inequalitiesconstrained receding horizon predictive controlconstraint on the prediction of the system statefeasible invariant setsterminal weighting

Mathematics Subject Classification ID

Linear programming (90C05) Linear inequalities of matrices (15A39) Nonlinear systems in control theory (93C10) Design techniques (robust design, computer-aided design, etc.) (93B51) Discrete-time control/observation systems (93C55) Linearizations (93B18)

Related Items (9)

State-space approach to nonlinear predictive generalised minimum variance control ⋮ Probabilistic tubes in linear stochastic model predictive control ⋮ Homothetic tube model predictive control ⋮ Robust MPC via min-max differential inequalities ⋮ A stable block model predictive control with variable implementation horizon ⋮ Fully parameterized tube model predictive control ⋮ Robust model predictive control of constrained linear systems with bounded disturbances ⋮ Optimal control of one‐dimensional cellular uptake in tissue engineering ⋮ Estimation of the Output Deviation Norm for Uncertain, Discrete-Time Nonlinear Systems in a State Dependent Form

Cites Work

• Unnamed Item
• Unnamed Item
• Optimal infinite-horizon feedback laws for a general class of constrained discrete-time systems: Stability and moving-horizon approximations
• A numerically robust state-space approach to stable-predictive control strategies
• Achieving diagonal dominance
• A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability
• Receding horizon control of nonlinear systems
• Linear systems with state and control constraints: the theory and application of maximal output admissible sets
• A modified quadratic cost problem and feedback stabilization of a linear system
• Robust receding horizon control of constrained nonlinear systems
• Stabilizing receding-horizon control of nonlinear time-varying systems
• A receding horizon generalization of pointwise min-norm controllers
• Recent developments in generalized predictive control for continuous-time systems
• Robust receding horizon predictive control for systems with uncertain dynamics and input saturation

This page was built for publication: Constrained receding horizon predictive control for nonlinear systems