Universal Fuzzy Controllers for Non-affine Nonlinear Systems (Springer Theses) - Image 1

£75.90

Springer Universal Fuzzy Controllers for Non-affine Nonlinear Systems (Springer Theses)

Name: Universal Fuzzy Controllers for Non-affine Nonlinear Systems (Springer Theses)
Brand: Springer
Price: 75.9 GBP
Availability: InStock

White

AI & Machine Learning

This is the most expensive it has ever been. Walk away.

£76 today · previous high £76 · all-time low £73

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 631 days • 631 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 631 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £75 (326 days, 51.7%)

Price range: £73 - £76

Price levels: 3 different prices over 631 days

Description

This thesis provides a systematic and integral answer to an open problem concerning the universality of dynamic fuzzy controllers. It presents a number of novel ideas and approaches to various issues including universal function approximation, universal fuzzy models, universal fuzzy stabilization controllers, and universal fuzzy integral sliding mode controllers. The proposed control design criteria can be conveniently verified using the MATLAB toolbox. Moreover, the thesis provides a new, easy-to-use form of fuzzy variable structure control. Emphasis is given to the point that, in the context of deterministic/stochastic systems in general, the authors are in fact discussing non-affine nonlinear systems using a class of generalized T-S fuzzy models, which offer considerable potential in a wide range of applications. Review “The main objectives of this work are to develop new approaches to designing stabilizing fuzzy controllers for deterministic/stochastic … . The book is well written and easy to read, and it requires only a basic knowledge of fuzzy T-S systems. It also gives detailed background on fuzzy control problems.” (E. S. Lee, Mathematical Reviews, April, 2017) From the Back Cover This thesis provides a systematic and integral answer to an open problem concerning the universality of dynamic fuzzy controllers. It presents a number of novel ideas and approaches to various issues including universal function approximation, universal fuzzy models, universal fuzzy stabilization controllers, and universal fuzzy integral sliding mode controllers. The proposed control design criteria can be conveniently verified using the MATLAB toolbox. Moreover, the thesis provides a new, easy-to-use form of fuzzy variable structure control. Emphasis is given to the point that, in the context of deterministic/stochastic systems in general, the authors are in fact discussing non-affine nonlinear systems using a class of generalized T-S fuzzy models, which offer considerable potential in a wide range of applications. About the Author

Product Specifications

Brand: Springer
Colour: White
Format: Hardcover
ASIN: 9811019738
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 30 July 2016
Listed Since: 09 June 2016

Barcode

No barcode data available

Springer Universal Fuzzy Controllers for Non-affine Nonlinear Systems (Springer Theses)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Analysis and Synthesis of Fuzzy Control Systems: A Model-Based Approach: 37 (Automation and Control Engineering)

Type-2 Fuzzy Logic in Intelligent Control Applications: 272 (Studies in Fuzziness and Soft Computing, 272)

Fuzzy Modeling and Control: 69 (Studies in Fuzziness and Soft Computing, 69)

Stability Analysis of Fuzzy-Model-Based Control Systems: Linear-Matrix-Inequality Approach: 264 (Studies in Fuzziness and Soft Computing, 264)

Analytical Methods in Fuzzy Modeling and Control: 241 (Studies in Fuzziness and Soft Computing, 241)

Introduction To Type-2 Fuzzy Logic Control: Theory and Applications (IEEE Press Series on Computational Intelligence)

Nature-Inspired Design of Hybrid Intelligent Systems: 667 (Studies in Computational Intelligence, 667)

Nature-Inspired Design of Hybrid Intelligent Systems: 667 (Studies in Computational Intelligence, 667)

Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications: 749 (Studies in Computational Intelligence, 749)

CONTROLO 2020: Proceedings of the 14th APCA International Conference on Automatic Control and Soft Computing, July 1-3, 2020, Bragança, Portugal: 695 (Lecture Notes in Electrical Engineering, 695)

Towards Intelligent Engineering and Information Technology: 243 (Studies in Computational Intelligence, 243)

Fuzzy Fractional Differential Operators and Equations: Fuzzy Fractional Differential Equations: 397 (Studies in Fuzziness and Soft Computing, 397)

Human Motion Sensing and Recognition: A Fuzzy Qualitative Approach: 675 (Studies in Computational Intelligence, 675)

Analytical Methods in Fuzzy Modeling and Control: 241 (Studies in Fuzziness and Soft Computing, 241)

Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach

Type-2 Fuzzy Logic in Intelligent Control Applications: 272 (Studies in Fuzziness and Soft Computing, 272)

Springer Recent Advances of Hybrid Intelligent Systems 915

Fuzzy Information and Engineering: Volume 1: 54 (Advances in Intelligent and Soft Computing, 54)

Production Engineering and Management under Fuzziness: 252 (Studies in Fuzziness and Soft Computing, 252)

Fuzzy Controller Design: Theory and Applications: 19 (Automation and Control Engineering)

Fuzzy Decision-Making Methods Based on Prospect Theory and Its Application in Venture Capital (Uncertainty and Operations Research)

Advanced Takagi‒Sugeno Fuzzy Systems: Delay and Saturation: 8 (Studies in Systems, Decision and Control, 8)

Estimation and Control for Networked Systems with Packet Losses without Acknowledgement: 77 (Studies in Systems, Decision and Control, 77)

Estimation and Control for Networked Systems with Packet Losses without Acknowledgement: 77 (Studies in Systems, Decision and Control)