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- W1489752574 abstract "This paper is concerned with easy-to-use identification method for various types of continuous-time systems. First, it is shown how to identify continuous-time systems by using the Particle Swarm Optimization, which attracts a lot of attention recently in the evolutionary computation area due to its empirical evidence of its superiority in solving various non-convex problems. Second, its effectiveness is evaluated through numerical examples for various types of systems including closed loop and nonlinear ones. Furthermore, its performance for an open loop linear system is compared with one of the most powerful existing methods." @default.
- W1489752574 created "2016-06-24" @default.
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- W1489752574 date "2009-08-01" @default.
- W1489752574 modified "2023-09-25" @default.
- W1489752574 title "Numerical evaluation of Particle Swarm Optimization based identification for continuous-time systems" @default.
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- W1489752574 doi "https://doi.org/10.23919/ecc.2009.7074632" @default.
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