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Against the variation of plant and the disturbances in the iteration domain, an adaptive iterative learning control strategy in the iteration domain for discrete repetitive processes with non-repetitiveness is proposed. The parameter estimation method and adaptive inverse control scheme are applied. To reduce the adverse impact that made by uncertainty or unknown of plant and eliminate the non-repetitive...
The optimization problem that the optimum is time-changing by following a motion law in the search space is a dynamic optimization problem. This paper introduces the optimum's motion information to the proposed algorithms. Particle Filter is used to predict and track the changing optima. In real solution space, GA's chromosome is the same as Particle Filter's particle, both of which can be regarded...
In order to improve the perceptual quality and the compression efficiency in video transition, a new adaptive fuzzy filter algorithm for real-time Gaussian noise removal is proposed. Based on the analysis of noise and video properties, it exploits the spatiotemporal neighbor information through noise estimation, motion detection, and spatiotemporal neighborspsila similarity measurement. Then, an adaptive...
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