Neural Network Control of Nonlinear Discrete-time Systems 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Sarangapani, Jagannathan 作者

CRC Pr I Llc

译者

2006-4 出版日期

624 页数

$ 214.64 价格

HRD

丛书系列

9780824726775 图书编码

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Neural Network Control of Nonlinear Discrete-time Systems 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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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. Examining neurocontroller design in discrete-time for the first time, "Neural Network Control of Nonlinear Discrete-Time Systems" presents powerful modern control techniques based on the parallelism and adaptive capabilities of biological nervous systems. At every step, the author derives rigorous stability proofs and presents simulation examples to demonstrate the concepts.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. "Neural Network Control of Nonlinear Discrete-Time Systems" fosters an understanding of neural network controllers and explains how to build them using detailed derivations, stability analysis, and computer simulations.

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