Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Supporting your high street Find out how »
Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems, Hardback Book

Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems Hardback

Part of the Studies in Systems, Decision and Control series

Hardback

Out of stock

Description

This book aims to introduce the state-of-the-art research of stability/performance analysis and optimal synthesis methods for fuzzy-model-based systems.

A series of problems are solved with new approaches of design, analysis and synthesis of fuzzy systems, including stabilization control and stability analysis, dynamic output feedback control, fault detection filter design, and reduced-order model approximation.

Some efficient techniques, such as Lyapunov stability theory, linear matrix inequality, reciprocally convex approach, and cone complementary linearization method, are utilized in the approaches.

This book is a comprehensive reference for researchers and practitioners working on intelligent control, model reduction, and fault detection of fuzzy systems, and is also a useful source of information for senior undergraduates and graduates in these areas.

The readers will benefit from some new concepts and methodologies with theoretical and practical significance in system analysis and control synthesis.

Information

Other Formats

Save 12%

£89.99

£78.79

Out of stock
Add to Basket
Sign in to add to wishlist
 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information