Pareto design of decoupled sliding-mode controllers for nonlinear systems based on a multiobjective genetic algorithm

DOI10.1155/2012/639014zbMath1254.90214OpenAlexW2110441420WikidataQ58906304 ScholiaQ58906304MaRDI QIDQ1760786

Xianqiang Yang

Publication date: 15 November 2012

Published in: Journal of Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2012/639014

zbMATH Keywords

MATLABmultiobjective genetic algorithmoptimal coefficientsobjective functionsdecoupled sliding-mode control

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05)

Related Items (2)

Optimum fuzzy combination of robust decoupled sliding mode and adaptive feedback linearization controllers for uncertain under-actuated nonlinear systems ⋮ Online optimal decoupled sliding mode control based on moving least squares and particle swarm optimization

Uses Software

• Matlab

Cites Work

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• Optimal sliding mode controllers for attitude stabilization of flexible spacecraft
• Simulation of stability using Java application for Pareto design of controllers based on a new multi-objective particle swarm optimization
• Actuator fault robust estimation and fault-tolerant control for a class of nonlinear descriptor systems
• GA-based fuzzy sliding mode controller for nonlinear systems
• Sliding mode control on electro-mechanical systems
• Robust control of a spatial robot using fuzzy sliding modes
• Sliding mode control of a magnetic levitation system

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