文件名称:A-PSO-method-with-nonlinear-time-varying-evolutio
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Abstract A particle swarm optimization method with nonlinear
time-varying evolution (PSO-NTVE) is employed in
designing an optimal PID controller for asymptotic stabilization
of a pendubot system. In the PSO-NTVE method,
parameters are determined by using matrix experiments
with an orthogonal array, in which a minimal number of
experiments would have an effect that approximates the full
factorial experiments.
time-varying evolution (PSO-NTVE) is employed in
designing an optimal PID controller for asymptotic stabilization
of a pendubot system. In the PSO-NTVE method,
parameters are determined by using matrix experiments
with an orthogonal array, in which a minimal number of
experiments would have an effect that approximates the full
factorial experiments.
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A PSO method with nonlinear time-varying evolution for optim.pdf
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