book

Fuzzy Neural Networks for Real Time Control Applications

by Erdal Kayacan, Mojtaba Ahmadieh Khanesar

October 2015

Intermediate to advanced

264 pages

6h 2m

English

Butterworth-Heinemann

Read now

Unlock full access

Contents

Abstract1.1 Introduction1.2 Linear Matrix Algebra1.3 Function1.4 Stability Analysis1.5 Sliding Mode Control Theory1.6 Conclusion

Abstract2.1 Introduction2.2 Type-1 Fuzzy Sets2.3 Basics of Fuzzy Logic Control2.4 Pros and Cons of Fuzzy Logic Control2.5 Western and Eastern Perspectives on Fuzzy Logic2.6 Conclusion
Abstract3.1 Introduction3.2 Type-2 Fuzzy Sets3.3 Existing Type-2 Membership Functions3.4 Conclusion
Abstract4.1 Type-1 Takagi-Sugeno-Kang Model4.2 Other Takagi-Sugeno-Kang Models4.3 Conclusion
Abstract5.1 Introduction5.2 Overview of Iterative Gradient Descent Methods5.3 Gradient Descent Based Learning Algorithms for Type-2 Fuzzy Neural Networks5.4 Stability Analysis5.5 Further Reading5.6 Conclusion
Abstract6.1 Introduction6.2 Discrete Time Kalman Filter6.3 Square-Root Filtering6.4 Extended Kalman Filter Algorithm6.5 Extended Kalman Filter Training of Type-2 Fuzzy Neural Networks6.6 Decoupled Extended Kalman Filter6.7 Conclusion
Abstract7.1 Introduction7.2 Identification Design
Abstract8.1 Introduction8.2 Continuous Version of Particle Swarm Optimization8.3 Analysis of Continuous Version of Particle Swarm Optimization8.4 Proposed Hybrid Training Algorithm for Type-2 Fuzzy Neural Network
Abstract9.1 Introduction9.2 Type-2 Fuzzy Neural System Structure9.3 Conclusion
Abstract10.1 Identification of Mackey-Glass Time Series10.2 Identification of Second-Order Nonlinear Time-Varying Plant10.3 Analysis and Discussion10.4 Conclusion
Abstract11.1 Control of Bispectral Index of a Patient During Anesthesia11.2 Control of Magnetic Rigid Spacecraft11.3 Control of Autonomous Tractor11.4 Conclusion

Content preview from Fuzzy Neural Networks for Real Time Control Applications

Dedication

To Omar Khayyám (1048–1131) who played with mathematics not only in science but also in his poems.

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Start your free trial

You might also like

Emerging Computing Paradigms

Emerging Computing Paradigms

Umang Singh, San Murugesan, Ashish Seth

Advanced Machine Vision Paradigms for Medical Image Analysis

Advanced Machine Vision Paradigms for Medical Image Analysis

Tapan K. Gandhi, Siddhartha Bhattacharyya, Sourav De, Debanjan Konar, Sandip Dey

Swarm Intelligence Algorithms (Two Volume Set)

Swarm Intelligence Algorithms (Two Volume Set)

Adam Slowik

What Employees Want Most in Uncertain Times

What Employees Want Most in Uncertain Times

Kristine W. Powers, Jessica B.B. Diaz

Publisher Resources

ISBN: 9780128027035