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This paper developed a three-step process of projection, characteristics, and knowledge for color object identification and moving object capture. Four factors of shape, color, size and knowledge have been considered in the process from the view of human vision system. A simulated experiment has shown how efficient and effective the proposed method is in which a color object had been identified and recognized in a complicated environment. A real visual servo control system has also been developed based on the proposed process. The experiment results have shown that the proposed method could efficiently realize the real-time color object recognition and capture.

Batch processes are usually complex and highly nonlinear systems. Modeling error can be the cause of bad performance when optimal input profiles computed for a particular model are applied to the actual plant. The approach followed in this paper uses the available model and actual plant measurements to modify the operation of the next batch, without requiring the remodeling the process. The effect of model error on the convergence of the iterative batch to batch input profile determination is investigated. The method is applied through computer simulations to the determination of the optimal feedrate profile for a cell mass production process. A model parameter update scheme is also proposed, based on the convergence analysis. This is applied to the determination of the optimal temperature profile of bulk polymerization of the optimal temperature profile of styrene.

Modelling error can be the cause of bad performance when optimal feed-rate profiles computed for a particular model are applied to the actual plant. This paper suggests the modification of the input trajectory from batch to batch, by using information from previous batches to modify the trajectories that are applied to the subsequent ones. The proposed approach does not required the remodeling of the process, but instead it redermines the input profile directly, so that a steady improvement is accomplished from batch to batch.