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Springer - Intelligent Observer and Control Design Book

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Description

Explore the demanding field of nonlinear system control theory with this specialized text from Springer. This book addresses complex scenarios where linear parts are known but nonlinearities remain unknown, or where both components are partially or fully unidentified. By focusing on the role of learning, the text demonstrates how intelligent learning techniques can determine unknown system components through stable and convergent processes. Designed for advanced study in engineering and technology, these methods are applicable for both on-line and off-line use. The principles presented provide practical utility for researchers and engineers working in mechatronics and related technical disciplines. This resource offers a deep look into how learning-based approaches solve modern control challenges in dynamic environments.

Key Features

This Springer publication focuses on control theory for nonlinear systems where components are unknown.

The text explains how intelligent learning techniques determine unknown nonlinear system components.

Methods described in this book are designed to be stable and convergent for reliable application.

Users can apply the presented control methods for both on-line and off-line system processes.

The content provides technical applications suitable for the field of mechatronics.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
14 October 2010
Listed Since
20 September 2010

Barcode

No barcode data available

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