Adaptive Sliding Mode Neural Network Control for Nonlinear Systems

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  • Author : Yang Li
  • Publisher : Academic Press
  • Pages : 186 pages
  • ISBN : 0128154322
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Adaptive Sliding Mode Neural Network Control for Nonlinear Systems

Download or Read online Adaptive Sliding Mode Neural Network Control for Nonlinear Systems full in PDF, ePub and kindle. this book written by Yang Li and published by Academic Press which was released on 16 November 2018 with total page 186 pages. We cannot guarantee that Adaptive Sliding Mode Neural Network Control for Nonlinear Systems book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Adaptive Sliding Mode Neural Network Control for Nonlinear Systems introduces nonlinear systems basic knowledge, analysis and control methods, and applications in various fields. It offers instructive examples and simulations, along with the source codes, and provides the basic architecture of control science and engineering. Introduces nonlinear systems' basic knowledge, analysis and control methods, along with applications in various fields Offers instructive examples and simulations, including source codes Provides the basic architecture of control science and engineering

Adaptive Sliding Mode Neural Network Control for Nonlinear Systems

Adaptive Sliding Mode Neural Network Control for Nonlinear Systems
  • Author : Yang Li,Jianhua Zhang,Wu Qiong
  • Publisher : Academic Press
  • Release : 16 November 2018
GET THIS BOOK Adaptive Sliding Mode Neural Network Control for Nonlinear Systems

Adaptive Sliding Mode Neural Network Control for Nonlinear Systems introduces nonlinear systems basic knowledge, analysis and control methods, and applications in various fields. It offers instructive examples and simulations, along with the source codes, and provides the basic architecture of control science and engineering. Introduces nonlinear systems' basic knowledge, analysis and control methods, along with applications in various fields Offers instructive examples and simulations, including source codes Provides the basic architecture of control science and engineering

Identification and Adaptive Control for Nonlinear Systems and Applications

Identification and Adaptive Control for Nonlinear Systems and Applications
  • Author : Jianhua Zhang,Yang Li,Qiang Chen
  • Publisher : Academic Press
  • Release : 15 March 2022
GET THIS BOOK Identification and Adaptive Control for Nonlinear Systems and Applications

Identification and Adaptive Control for Nonlinear Systems and Applications: Applied Mathematics in Control Engineering introduces nonlinear systems concepts, system analysis, system control methods and applications in various fields. The major contribution of the book includes: (1) The basic concepts of nonlinear systems stability analysis and nonlinear systems control method. (2) The stability analysis of complex nonlinear system with adaptive neural networks control. (3) The nonlinear systems adaptive sliding mode controller design of complex nonlinear systems. (4) Some industrial application. The book gives an introduction

Computational Intelligence and Intelligent Systems

Computational Intelligence and Intelligent Systems
  • Author : Zhenhua Li
  • Publisher : Springer
  • Release : 03 November 2009
GET THIS BOOK Computational Intelligence and Intelligent Systems

Volumes CCIS 51 and LNCS 5812 constitute the proceedings of the Fourth Interational Symposium on Intelligence Computation and Applications, ISICA 2009, held in Huangshi, China, during October 23-25. ISICA 2009 attracted over 300 submissions. Through rigorous reviews, 58 papers were included in LNCS 5821, and 54 papers were collected in CCIS 51. ISICA conferences are one of the first series of international conferences on computational intelligence that combine elements of learning, adaptation, evolution and fuzzy logic to create programs as alternative solutions to artificial intelligence.

Robust Adaptive Control for Fractional Order Systems with Disturbance and Saturation

Robust Adaptive Control for Fractional Order Systems with Disturbance and Saturation
  • Author : Mou Chen,Shuyi Shao,Peng Shi
  • Publisher : John Wiley & Sons
  • Release : 20 October 2017
GET THIS BOOK Robust Adaptive Control for Fractional Order Systems with Disturbance and Saturation

A treatise on investigating tracking control and synchronization control of fractional-order nonlinear systems with system uncertainties, external disturbance, and input saturation Robust Adaptive Control for Fractional-Order Systems, with Disturbance and Saturation provides the reader with a good understanding on how to achieve tracking control and synchronization control of fractional-order nonlinear systems with system uncertainties, external disturbance, and input saturation. Although some texts have touched upon control of fractional-order systems, the issues of input saturation and disturbances have rarely been considered

Deep Reinforcement Learning with Guaranteed Performance

Deep Reinforcement Learning with Guaranteed Performance
  • Author : Yinyan Zhang,Shuai Li,Xuefeng Zhou
  • Publisher : Springer Nature
  • Release : 09 November 2019
GET THIS BOOK Deep Reinforcement Learning with Guaranteed Performance

This book discusses methods and algorithms for the near-optimal adaptive control of nonlinear systems, including the corresponding theoretical analysis and simulative examples, and presents two innovative methods for the redundancy resolution of redundant manipulators with consideration of parameter uncertainty and periodic disturbances. It also reports on a series of systematic investigations on a near-optimal adaptive control method based on the Taylor expansion, neural networks, estimator design approaches, and the idea of sliding mode control, focusing on the tracking control problem

Sliding Mode Control Using MATLAB

Sliding Mode Control Using MATLAB
  • Author : Jinkun Liu
  • Publisher : Academic Press
  • Release : 25 May 2017
GET THIS BOOK Sliding Mode Control Using MATLAB

Sliding Mode Control Using MATLAB provides many sliding mode controller design examples, along with simulation examples and MATLAB® programs. Following the review of sliding mode control, the book includes sliding mode control for continuous systems, robust adaptive sliding mode control, sliding mode control for underactuated systems, backstepping, and dynamic surface sliding mode control, sliding mode control based on filter and observer, sliding mode control for discrete systems, fuzzy sliding mode control, neural network sliding mode control, and sliding mode control

Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear Systems

Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear Systems
  • Author : Ding Wang,Chaoxu Mu
  • Publisher : Springer
  • Release : 10 August 2018
GET THIS BOOK Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear Systems

This book reports on the latest advances in adaptive critic control with robust stabilization for uncertain nonlinear systems. Covering the core theory, novel methods, and a number of typical industrial applications related to the robust adaptive critic control field, it develops a comprehensive framework of robust adaptive strategies, including theoretical analysis, algorithm design, simulation verification, and experimental results. As such, it is of interest to university researchers, graduate students, and engineers in the fields of automation, computer science, and electrical

Measuring Technology and Mechatronics Automation IV

Measuring Technology and Mechatronics Automation IV
  • Author : Zhi Xiang Hou
  • Publisher : Trans Tech Publications Ltd
  • Release : 24 October 2011
GET THIS BOOK Measuring Technology and Mechatronics Automation IV

Volume is indexed by Thomson Reuters CPCI-S (WoS). This two-volume set contains 317 peer-reviewed papers from the Fourth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). The latter aimed to provide a high-level international forum where scientists, engineers and educators could present the state-of-the-art of measurement technology and mechatronics automation research and their applications in diverse fields.

Fuzzy Theory Systems

Fuzzy Theory Systems
  • Author : Cornelius T. Leondes
  • Publisher : Academic Press
  • Release : 04 October 1999
GET THIS BOOK Fuzzy Theory Systems

Applications of fuzzy theory (often referred to as "fuzzy logic") are maturing and multiplying at a phenomenal rate, and a comprehensive treatment of these real-world techniques and applications is now very timely. Unlike traditional computer logic involving clear true or false decisions, a fuzzy logic system chooses what is most true after "considering" several contributing and possibly conflicting variables. Examples of practical devices using fuzzy computer decision-making are thermostats that respond to a combination of temperature and humidity (comfort factors),