Titlebook: Evolutionary Learning Algorithms for Neural Adaptive Control; Dimitris C. Dracopoulos Textbook 1997 Springer-Verlag London Limited 1997 Ad

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Evolutionary Learning Algorithms for Neural Adaptive Control978-1-4471-0903-7Series ISSN 1431-6854

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Nigar Alkan,Ali Alkan,Coşkun Erüzobots, spacecrafts and nuclear reactors, require automatic control systems to maintain their operation. A control system may be required to maintain a stable condition, to follow a pre-specified path or to produce a periodic action.

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Introduction,obots, spacecrafts and nuclear reactors, require automatic control systems to maintain their operation. A control system may be required to maintain a stable condition, to follow a pre-specified path or to produce a periodic action.

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Adaptive Control Architecture,ral networks reported in the literature [7, 17, 141], the possibility of hardware implementation of artificial neural networks, and the current desire for reconfigurable flight control are the main motivations for the work described here.

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