Neural Network Control of Nonlinear Discrete-Time 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,...
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| Format: | eBook |
| Language: | English |
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Hoboken :
CRC Press,
2006.
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| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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 neur. |
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| Physical Description: | 1 online resource (623 pages) |
| ISBN: | 9781420015454 1420015451 |