Nonlinear model predictive control based on piecewise linear Hammerstein models

DOI10.1007/s11071-018-4105-5zbMath1398.93069OpenAlexW2789932311MaRDI QIDQ1798205

Maciej Ławryńczuk, Jian Zhang, Kwai Sang Chin

Publication date: 23 October 2018

Published in: Nonlinear Dynamics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11071-018-4105-5

zbMATH Keywords

Hammerstein modelchemical reactornonlinear model predictive controlpiecewise linear functionmultistep linearization

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Linear systems in control theory (93C05) Linearizations (93B18)

Related Items (3)

Auxiliary model-based iterative estimation algorithms for nonlinear systems using the covariance matrix adaptation strategy ⋮ Constrained nonlinear model predictive control of pH value in wet flue gas desulfurization process ⋮ Interval variable step-size spline adaptive filter for the identification of nonlinear block-oriented system

Cites Work

• Unnamed Item
• Nonlinear predictive control of dynamic systems represented by Wiener-Hammerstein models
• Nonlinear model predictive control. Theory and algorithms.
• Block-oriented nonlinear system identification
• Model predictive control system design and implementation using \texttt{MATLAB}
• Linear offset-free model predictive control
• 4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems
• Nonlinear offset-free model predictive control
• Computationally efficient model predictive control algorithms. A neural network approach
• Predictive Control for Linear and Hybrid Systems
• Model-based predictive control for Hammerstein?Wiener systems
• High-level canonical piecewise linear representation using a simplicial partition
• Identifying MIMO Hammerstein systems in the context of subspace model identification methods
• Constrained linear state estimation -- a moving horizon approach

This page was built for publication: Nonlinear model predictive control based on piecewise linear Hammerstein models