Fuzzy control optimized by a multi-objective partial swarm optimization algorithm for vibration suppression of smart structures

DOI10.1007/s00158-010-0552-4zbMath1274.74206OpenAlexW2003715231MaRDI QIDQ381548

Yannis Marinakis, Magdalene Marinaki, Georgios E. Stavroulakis

Publication date: 15 November 2013

Published in: Structural and Multidisciplinary Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00158-010-0552-4

zbMATH Keywords

fuzzy controlmulti-objective particle swarm optimizationactive control of structuressmart structures

Mathematics Subject Classification ID

Control, switches and devices (``smart materials) in solid mechanics (74M05) Fuzzy control/observation systems (93C42) Vibrations in dynamical problems in solid mechanics (74H45)

Related Items (5)

A novel evolutionary optimization algorithm inspired in the intelligent behaviour of the hunter spider ⋮ Effectiveness of optimized fuzzy controllers on partially delaminated piezocomposites ⋮ Optimal vibration control of multi-layer micro-beams actuated by piezoelectric layer based on modified couple stress and surface stress elasticity theories ⋮ A Comparison between Integer and Fractional Order PD ^μ Controllers for Vibration Suppression ⋮ Multi-Objective Optimization and Cluster-Wise Regression Analysis to Establish Input–Output Relationships of a Process

Uses Software

• NSPSO
• MCPSO

Cites Work

• Unnamed Item
• Unnamed Item
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• Evolutionary multiobjective optimization. Theoretical advances and applications.
• A GA-based neural fuzzy system for temperature control
• Locating multiple optima using particle swarm optimization
• A review of particle swarm optimization. I: Background and development
• Finite element modelling of hybrid active–passive vibration damping of multilayer piezoelectric sandwich beams—part I: Formulation
• Particle Swarm Optimization
• Evolutionary Algorithms for Solving Multi-Objective Problems

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