Multi-model predictive control based on the Takagi-Sugeno fuzzy models: a case study

DOI10.1016/J.INS.2003.10.011zbMath1059.93073OpenAlexW2020676370MaRDI QIDQ704146

Yu-Geng Xi, Shao-Yuan Li, Ning Li

Publication date: 12 January 2005

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2003.10.011

zbMATH Keywords

Takagi-Sugeno modelsFuzzy satisfactory clusteringMultiple model predictive controlParallel distribution compensation

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42)

Related Items (11)

A new approach to robust and non-fragile \(H_{\infty }\) control for uncertain fuzzy systems ⋮ An efficient model predictive controller with pole placement ⋮ Multiple model predictive control for large envelope flight of hypersonic vehicle systems ⋮ Offset-free state-space nonlinear predictive control for Wiener systems ⋮ Interaction analysis and loop pairing for MIMO processes described by T-S fuzzy models ⋮ Data‐Driven Performance Monitoring for Model Predictive Control Using a mahalanobis distance based overall index ⋮ Real-time optimal control of tracking running for high-speed electric multiple unit ⋮ Stability analysis of the simplest Takagi-Sugeno fuzzy control system using circle criterion ⋮ Aggregation-based fuzzy dual-mode control for nonlinear systems with mixed constraints ⋮ Multi-model predictive control with local constraints based on model switching ⋮ Fractional Order CRONE and PID Controllers Design for Nonlinear Systems Based on Multimodel Approach

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