Parameter optimization of MIMO fuzzy optimal model predictive control by APSO

DOI10.1155/2017/5813192zbMath1377.93096OpenAlexW2762003472MaRDI QIDQ1688088

Moêz Soltani, Abdelkader Chaari, Adel Taieb

Publication date: 5 January 2018

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/5813192

zbMATH Keywords

multi-input multi-output systemadaptive particle swarm optimization (APSO) algorithmFuzzy Optimal Model Predictive Control (FOMPC)Takagi-Sugeno (TS) fuzzy system

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Fuzzy control/observation systems (93C42) Multivariable systems, multidimensional control systems (93C35) Adaptive control/observation systems (93C40)

Related Items (2)

An improved predictive control model for stochastic max-plus-linear systems ⋮ Analytical fuzzy predictive control applied to wastewater treatment biological processes

Cites Work

• Fuzzy model predictive control of non-linear processes using genetic algorithms.
• Improved particle swarm optimization combined with chaos
• Fuzzy identification of systems and its applications to modeling and control
• Model predictive control based on chaos particle swarm optimization for nonlinear processes with constraints

This page was built for publication: Parameter optimization of MIMO fuzzy optimal model predictive control by APSO