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Neural Network Control of Nonlinear Discrete-Time Systems
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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.
Subject categories
- Academic > Engineering > Mechanical engineering and machinery > Control engineering systems. Automatic machinery (General)
- Academic > Engineering > Mechanical engineering and machinery
- Academic > Engineering
- Academic > Professions and Applied Sciences
- Mathematics > Linear Programming
- Technology > Electronics
- Technology
- Mathematics
ISBNs
9781420015454
9780824726775
1420015451