Neural Network Control of Nonlinear Discrete-Time Systems

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Intelligent systems are a hallmark of modern feedback control systems. But as these systems mature, we have come to expect higher levels of performance in speed and accuracy in the face of severe nonlinearities, disturbances, unforeseen dynamics, and unstructured uncertainties. Artificial neural networks offer a combination of adaptability, parallel processing, and learning capabilities that outperform other intelligent control methods in more complex systems. Borrowing from Biology Examining neurocontroller design in ...

Neural Network Control of Nonlinear Discrete-Time Systems 2006, CRC Press, Boca Raton, FL

ISBN-13: 9780824726775

Hardcover

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