Direct adaptive regulation using dynamic
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G.A. Rovithakis; M.A. Christodoulou
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Article
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1996
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Elsevier Science
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English
โ 432 KB
A direct nonlinear adaptive state regulator is derived, based on dynamic neural networks, and it is successfully applied to control the speed of a nonlinearized dc motor, One interesting feature of the proposed control algorithm is that it covers the situation where the magnetic flux continuously va