Switched model predictive control for performance enhancement

DOI10.1080/00207170801910417zbMath1151.93014OpenAlexW2128984663MaRDI QIDQ3548772

Mara Tanelli, Riccardo Scattolini, Lalo Magni

Publication date: 17 December 2008

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

Full work available at URL: https://doi.org/10.1080/00207170801910417

zbMATH Keywords

nonlinear systemsswitched systemsmodel predictive control

Mathematics Subject Classification ID

Related Items (13)

Switched Second-Order Sliding Mode Control with Partial Information: Theory and Application ⋮ Stability of multiobjective predictive control: A utopia-tracking approach ⋮ Lexicographic multi-objective MPC for constrained nonlinear systems with changing objective prioritization ⋮ Quantization‐based switched second‐order sliding mode control for uncertain systems ⋮ On stability of multiobjective NMPC with objective prioritization ⋮ Switched/time-based adaptation for second-order sliding mode control ⋮ Improving performance in model predictive control: switching cost functionals under average dwell-time ⋮ Robust tube-based NMPC for dynamic systems with discrete degrees of freedom ⋮ Multiobjective model predictive control ⋮ An Optimization-Based Framework for Impulsive Control Systems ⋮ Constrained nonlinear MPC for accelerated tracking piece-wise references and its applications to thermal systems ⋮ Introducing robustness in model predictive control with multiple models and switching ⋮ Model predictive control: recent developments and future promise

Cites Work

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• Multiple Lyapunov functions and other analysis tools for switched and hybrid systems
• Stabilizing receding-horizon control of nonlinear time-varying systems
• Robustness and Robust Design of MPC for Nonlinear Discrete-Time Systems
• Model Predictive Control of Continuous-Time Nonlinear Systems With Piecewise Constant Control
• On the stability of receding horizon control with a general terminal cost
• A stabilizing model-based predictive control algorithm for nonlinear systems

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