Can I read Stable Adaptive Control and Estimation for Nonlinear Systems : Neural and Fuzzy Approximator Techniques on EtoBox?

Stable Adaptive Control and Estimation for Nonlinear Systems : Neural and Fuzzy Approximator Techniques by Jeffrey T. Spooner, Manfredi Maggiore, Raúl Ordóñez, Kevin M. Passino is a nonfiction available to read on EtoBox.

What is Stable Adaptive Control and Estimation for Nonlinear Systems : Neural and Fuzzy Approximator Techniques about?

<p><br> <br>Includes a solution manual for problems. <br>Provides MATLAB code for examples and solutions. <br>Deals with robust systems in both theory and practice. <br></p> <h3>Booknews</h3> <p>Two useful approaches to the control of nonlinear systems are brought together for students and practitioners in need of background information. The text presents a control methodology that may be verified with mathematical rigor while possessing the flexibility associated with intelligent control approaches. Examples demonstrate how the methodology can be applied to real-world systems such as motor control, aircraft control, industrial automation, and other nonlinear systems. Guidelines are provided for design and application of techniques, and design techniques are presented for nonlinear multi- input multi-output systems. Homework problems and design projects are included. Spooner is a senior member of the technical staff at Sandia National Laboratories. Annotation c. Book News, Inc., Portland, OR (booknews.com)</p>

Who reads Stable Adaptive Control and Estimation for Nonlinear Systems : Neural and Fuzzy Approximator Techniques?

Author

Jeffrey T. Spooner, Manfredi Maggiore, Raúl Ordóñez, Kevin M. Passino

Publisher

Wiley-Interscience

Published

2002

Language

EN

ISBN

9780470351284

Category

nonfiction

Subjects

Science, Engineering, Mathematics