Set membership approximation of discontinuous nonlinear model predictive control laws

DOI10.1016/j.automatica.2011.09.039zbMath1244.93050OpenAlexW2026035206MaRDI QIDQ445061

Mario Milanese, Massimo Canale, Lorenzo Fagiano

Publication date: 24 August 2012

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2011.09.039

zbMATH Keywords

nonlinear systemsdiscontinuous controlpredictive controlfunction approximationset membership approximation theory

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10)

Related Items (1)

Nonlinear model predictive control from data: a set membership approach

Cites Work

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• Examples when nonlinear model predictive control is nonrobust
• Stabilizing decentralized model predictive control of nonlinear systems
• Set membership approximation theory for fast implementation of model predictive control laws
• An iterative adaptive multiquadric radial basis function method for the detection of local jump discontinuities
• Computation, approximation and stability of explicit feedback min-max nonlinear model predictive control
• Approximate explicit receding horizon control of constrained nonlinear systems.
• Discrete-time certainty equivalence output feedback: allowing discontinuous control laws including those from model predictive control
• Constrained control and estimation. An optimisation approach.
• A receding-horizon regulator for nonlinear systems and a neural approximation
• Constrained model predictive control: Stability and optimality
• Receding horizon control of nonlinear systems
• Nonlinear stabilization using discontinuous moving-horizon control
• Receding horizon control and discontinuous state feedback stabilization
• Robust Model Predictive Control of Nonlinear Systems With Bounded and State-Dependent Uncertainties
• Efficient Model Predictive Control for Nonlinear Systems via Function Approximation Techniques
• Discrete-Time Non-smooth Nonlinear MPC: Stability and Robustness
• Regional Input-to-State Stability for Nonlinear Model Predictive Control
• A Shearlet Approach to Edge Analysis and Detection
• Input‐to‐state stabilizing sub‐optimal NMPC with an application to DC–DC converters
• Polynomial Fitting for Edge Detection in Irregularly Sampled Signals and Images
• Systems with persistent disturbances: Predictive control with restricted constraints

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