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A nove multi-swarm particle swarm optimization algorithm to tracking multiple targets is proposed. The global swarm is divided into many sub-swarms according to the number of targets, and each sub-swarm searches for its target and maintains track of it. The information interaction between different sub-swarm is described as a differentiable energy function, which include an observation model and a...
The neural network predictive control (NNPC) based upon a novel sine-map chaotic particle swarm optimization (SCPSO), which is applied to the kinetic energy control of the deployable space truss structures (DSTS), is developed in this paper. The proposed control scheme is proved to be feasible to the kinetic energy control of the DSTS via the simulation experiment. Furthermore, the experiment demonstrates...
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