Design of a fast real-time \textit{LPV} model predictive control system for semi-active suspension control of a full vehicle
DOI10.1016/j.jfranklin.2018.11.016zbMath1406.93138OpenAlexW2905222776WikidataQ128745047 ScholiaQ128745047MaRDI QIDQ1717492
Marcelo Menezes Morato, Olivier Sename, Manh Quan Nguyen, Luc Dugard
Publication date: 6 February 2019
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2018.11.016
model predictive controllinear parameter varying systemselectrorheological dampersfull vehicle modelsemi-active suspension system
Application models in control theory (93C95) Linear systems in control theory (93C05) Control/observation systems governed by ordinary differential equations (93C15) Software, source code, etc. for problems pertaining to systems and control theory (93-04)
Related Items (5)
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Cites Work
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- A mixed \(\mathcal H_2/\mathcal H_{\infty}\) approach to simultaneous fault detection and control.
- A clipped-optimal control algorithm for semi-active vehicle suspensions: theory and experimental evaluation
- Integrated vehicle control through the coordination of longitudinal/lateral and vertical dynamics controllers: Flatness and LPV/H∞-based design
- Hybrid model predictive control application towards optimal semi-active suspension
- Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones
- Explicit MPC for LPV Systems: Stability and Optimality
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