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In this paper, an adaptive tracking control scheme is proposed for robotic manipulators with unknown input saturation. To overcome the design difficulty from non-differential saturation nonlinearity, a smooth nonlinear function of the control input signal is first introduced to approximate the saturation function, which can be further transformed into an affine form according to the mean-value theorem...
According to the shortcomings of traditional reinforcement learning method when applied to autonomous underwater vehicle (AUV) engineering, such as generalization problem, risks by trial-and-error a low learning efficiency, the neural network and case based Q learning (NCQL) is proposed. The basic principle of NCQL is making use of neural net to solve generalization problem, and case based learning...
A streaming media watermarking algorithm based on synergetic neural network in the IWT domain of compressed video was advanced in this paper. A gray watermark image is serially processed into watermarking signal and embedded into a compressed videopsilas IWT domain to form watermarked video. Watermark detecting algorithm is realized by using pattern recognition method of synergetic neural network...
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