An introduction to fuzzy control (2nd ed.)
An introduction to fuzzy control (2nd ed.)
Particle swarm optimization method in multiobjective problems
Proceedings of the 2002 ACM symposium on Applied computing
Evolutionary Multiobjective Optimization: Theoretical Advances and Applications (Advanced Information and Knowledge Processing)
An effective use of crowding distance in multiobjective particle swarm optimization
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Robust H/sub 2/ vibration control of beams with piezoelectric sensors and actuators
PHYCON '03 Proceedings of the Physics and Control, 2003. on 2003 International Conference, Vol 1 - Volume 01
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Multiobjective optimization using dynamic neighborhood particle swarm optimization
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
A review of particle swarm optimization. Part I: background and development
Natural Computing: an international journal
Natural Computing: an international journal
Zero-order TSK-type fuzzy system learning using a two-phase swarm intelligence algorithm
Fuzzy Sets and Systems
Adaptive fuzzy APSO based inverse tracking-controller with an application to DC motors
Expert Systems with Applications: An International Journal
Optimal fuzzy logic control for MDOF structural systems using evolutionary algorithms
Engineering Applications of Artificial Intelligence
Design and robust optimal control of smart beams with application on vibrations suppression
Advances in Engineering Software - Selected papers from civil-comp 2003 and AlCivil-comp 2003
A non-dominated sorting particle swarm optimizer for multiobjective optimization
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
HM'05 Proceedings of the Second international conference on Hybrid Metaheuristics
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
Genetic reinforcement learning through symbiotic evolution forfuzzy controller design
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Genetic algorithm for the design of a class of fuzzy controllers: an alternative approach
IEEE Transactions on Fuzzy Systems
Genetic algorithm-based optimal fuzzy controller design in the linguistic space
IEEE Transactions on Fuzzy Systems
Interior ballistic charge design based on a modified particle swarm optimizer
Structural and Multidisciplinary Optimization
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Smart structures include elements of active, passive or hybrid control. In this paper, a new Multi-Objective Particle Swarm Optimization (MOPSO), with a different velocity equation, for the calculation of the free parameters in active control systems is proposed and tested. A fuzzy control system is considered. Fuzzy control is a suitable tool for the systematic development of nonlinear active control strategies and can be fine tuned if no experience exists or if one designs more complicated control schemes. The usage of MOPSO with a combination of continuous and discrete variables for the optimal design of the controller is proposed. Numerical applications on smart piezoelastic beams are presented.