Neural Network Control of Nonlinear Discrete-Time Systems

Neural Network Control of Nonlinear Discrete-Time Systems presents powerful modern control techniques based on the parallelism and adaptive capabilities of biological nervous systems. After an introduction to neural networks, dynamical systems, control of nonlinear systems, and feedback linearization, the book builds systematically from actuator nonlinearities and strict feedback in nonlinear systems to nonstrict feedback, system identification, model reference adaptive control, and novel optimal control using the Hamilton ... Read More

Neural Network Control of Nonlinear Discrete-Time Systems presents powerful modern control techniques based on the parallelism and adaptive capabilities of biological nervous systems. After an introduction to neural networks, dynamical systems, control of nonlinear systems, and feedback linearization, the book builds systematically from actuator nonlinearities and strict feedback in nonlinear systems to nonstrict feedback, system identification, model reference adaptive control, and novel optimal control using the Hamilton-Jacobi-Bellman formulation. The author concludes by developing a framework for implementing intelligent control in actual industrial systems using embedded hardware. Read Less

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  	This is a digital edition of this title. Rent eBook (2 Options) 180 Day Rental: $143.00 (Expires Nov 17, 2024) 365 Day Rental: $169.00 (Expires May 21, 2025) Buy eBook Lifetime Access: $260.00 Title: Neural Network Control of Nonlinear Discrete-Time Systems by Jagannathan Sarangapani Publisher: Taylor & Francis Print ISBN: 9780824726775, 0824726774 eText ISBN: 9781420015454 Edition: 2006 1st edition Format: PDF eBook	$143.00 Rent eBook This is a digital eBook Nothing will be shipped to you Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices Most eBooks are returnable within 14 days of purchase Questions? See our eBook FAQ