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We develop a unified approach for the optimization of closed-loop control systems, based on our earlier results on Euler-Langrange equation in Naidu, D. S. and Imura, Y. (2004) and open-loop optimal control in Imura, Y. and Naidu, D. S., (2006). The unified approach results are simultaneously applicable to both shift (q)-operator-based, discrete-time systems and the derivative (d/dt)-operator-based,...
In this paper we describe an approach to maximizing the domains of attraction for equilibria in a Hopfield neural network with learning. The concept of learning in a Hopfield net is introduced and a method is given to construct a hetero-associative memory using a Hopfield net that "learns" the correct weights required to store arbitrarily specified input/output pairs. By proper choice of...
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