1 option
Sequential Intelligent Dynamic System Modeling and Control / by Hai-Jun Rong, Zhao-Xu Yang.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2024 Available online
View online- Format:
- Book
- Author/Creator:
- Rong, Hai-Jun, author.
- Yang, Zhao-Xu, author.
- Language:
- English
- Subjects (All):
- Automatic control.
- Dynamics.
- Nonlinear theories.
- Computational intelligence.
- Control and Systems Theory.
- Applied Dynamical Systems.
- Computational Intelligence.
- Local Subjects:
- Control and Systems Theory.
- Applied Dynamical Systems.
- Computational Intelligence.
- Physical Description:
- 1 online resource (259 pages)
- Edition:
- 1st ed. 2024.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
- Summary:
- The book offers novel research results of sequential intelligent dynamic system modeling and control in a unified framework from theory proposals to real applications. It covers an in-depth study of various learning algorithms for the permanent adaptation of intelligent model parameters as well as of structural parts of the model. The comprehensive researches on sequential fuzzy and neural controller design schemes for some complex real applications are included. This is particularly suited for readers who are interested to learn practical solutions for controlling nonlinear systems that are uncertain and varied at any time. In addition, the organization of the book from addressing fundamental concepts, and presenting novel intelligent models to solving real applications is one of the major features of the book, which makes it a valuable resource for both beginners and researchers wanting to further their understanding and study about realtime online intelligent modeling and control of nonlinear dynamic systems. The book can benefit researchers, engineers, and graduate students in the fields of control engineering, artificial intelligence, computational intelligence, intelligent control, nonlinear system modeling, and control, etc.
- Contents:
- 1 Fuzzy Inference Systems
- 2 Neural Networks
- 3 Optimization Algorithms
- 4 Modeling and Control of Nonlinear Dynamic Systems
- 5 Online Sequential Fuzzy Extreme Learning Machine
- 6 Sequential Adaptive Fuzzy Inference System
- 7 Evolving Fuzzy Systems based on Data Clouds
- 8 Stability of A Class of Evolving Fuzzy Systems
- 9 Adaptive Self-Learning Fuzzy Autopilot Design for Uncertain Bank-to-Turn Missiles
- 10 Self-Evolving Fuzzy Model-based Controller for Hypersonic Vehicle
- 11 Self-Evolving Data Cloud-based PID-like Controller for Nonlinear Uncertain Systems
- 12 Adaptive Nonparametric Evolving Fuzzy Controller for Nonlinear Uncertain Systems with Dead Zone
- 13 Adaptive Backstepping Neural Controller for Magnetic Bearing System
- 14 Simplified Adaptive Backstepping Neural Controller for Magnetic Bearing System
- 15 Robust Kernel-based Model Reference Adaptive Control for Unstable Aircraft.
- Notes:
- Includes bibliographical references.
- Other Format:
- Print version: Rong, Hai-Jun Sequential Intelligent Dynamic System Modeling and Control
- ISBN:
- 9789819715411
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.