£101.82

Springer Nonlinear H2/H-Infinity Control Neural Networks Book

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Description

Master complex control challenges with Nonlinear H2/H-Infinity Constrained Feedback Control. Published by Springer as part of the Advances in Industrial Control series, this book provides essential techniques for creating robust and stable solutions in high-performance, nonlinear systems. It addresses H-infinity and H2 control problems through a practical design approach utilizing neural networks. Designed specifically for control designers working across various industrial systems, this text offers a clear path to managing nonlinear control systems. It provides the tools needed to achieve design results comparable to recent linear optimal and bounded-norm designs. By integrating case studies, the book bridges the gap between theoretical modern control problems and real-world industrial applications, making it a valuable resource for professionals and researchers in the field of AI, machine learning, and advanced industrial automation.

Key Features

Provides practical design techniques for H-infinity and H2 control in high-performance nonlinear systems.

Utilizes neural networks to develop robust and stable solutions for complex industrial control problems.

Includes detailed case studies to demonstrate real-world application of nonlinear control designs.

Offers a method to achieve nonlinear control results on par with modern linear optimal designs.

Serves as a specialized resource for control designers working within diverse industrial environments.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
13 June 2006
Listed Since
13 December 2006

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