Due to many classical identification methods cannot be directly used for closed-loop control system, an improved identification method is proposed to simultaneously identify model parameters and the structure. The improved identification method used the genetic algorithm to estimate the initial search scope for the PSO algorithm, and then used the search result as the initial value of the Rosen...

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This paper deals with an iterative learning control law for multivariable systems. The desired inputs are supposed to be known and periodic. The principle of the control is to make outputs as close as possible to desired inputs at each new period. After the design of multivariable repetitive controller, we give the stability condition of the algorithm and some simulation results.

We present a study of dynamical scaling and domain growth in a nonpotential system that models Rayleigh–B enard convection in a rotating cell. In d=1, dynamical scaling holds, but the nonpotential terms modify the characteristic growth law with a crossover from logarithmic to linear in time. In d=2 the nonpotential terms prevent coarsening for values of the angular rotation speed below the K u...