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In this paper, the quantum behaved particle swarm optimization algorithm(QPSO) is improved, and the Benchmark function is used to test the improved Quantum behaved particle swarm optimiaztion algorithm(CQPSO). The results show that the improved quantum behaved particle swarm algorithm has better convergence. The improved quantum behaved particle swarm optimization algorithm was used to optimize the...
A PID-IMP type iterative learning controller is proposed to harness the nonrepetitive output disturbance with known repeating patterns. A new uniform framework to design the PID-IMP type ILC controller and new theory to optimize the parameters are established for much wider applicable field. The algorithm has higher convergence speed and convergence precision than previous algorithms. Simulation examples...
An open-closed-loop second-order iterative learning control algorithm is investigated in the presence of the system uncertainties. Through the rigorous analysis, it is obtained that this algorithm speeds up the convergence rate of iterative learning control in the iteration domain because the closed-loop learning gain is introduced based on an open-loop iterative learning control algorithm. It is...
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