An effective co-evolutionary particle swarm optimization for constrained engineering design problems
Engineering Applications of Artificial Intelligence
Particle Swarm-assisted state feedback control: from pole selection to state estimation
ACC'09 Proceedings of the 2009 conference on American Control Conference
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
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This paper presents the synthesis of an active control system using a modified particle swarm optimization method. The system's controller design is analyzed as a minimalization of the building stories' acceleration. The proposed fitness function is computationally efficient and incorporates the constraints on the system's stability and the maximum output of actuators. In order to handle the constraints the PSO was modified to take into account the particles' distance to the best and the worst solutions. The performance of the obtained controller was tested using historical earthquake records. The performed numerical simulations proved that the designed controller is capable of efficient vibrations reduction.