Series: Emerging Methodologies and Applications in Modelling, Identification and Control

The new series, Emerging Methodologies and Applications in Modelling, Identification and Control, will report and share state-of-the-art work in modelling, identification and control engineering for worldwide university classroom teaching, academic research, and industrial applications in a systematic and sustainable series of book publications.

The EMAMIC series will cover all aspects of modeling, identification and control of industrial application, which could include system identification, parameter estimation, dynamic simulation, optimization, adaptive control, optimal control, nonlinear control, and others emerging techniques.

Books in the EMAMIC series may be used as reference manuals for advanced courses in automatic control systems, in university classrooms and/or industrial short training courses which are suited for students, researchers, and engineers working on the topics of electrical engineering, process engineering, computer science, mechanical engineering, automotive and aerospace engineering, and other manmade systems.

For prospective authors interested in publishing their work in this series, please contact Series Editor Quan Zhu (quan.zhu@uwe.ac.uk) or Acquisitions Editor Sonnini Yura (s.yura@elsevier.com).

Series Editor

Professor Quan Min Zhu

Department of Engineering Design and Mathematics at University of the West of England

Editorial Advisory Board

Professor Sarah Spurgeon

Department of Electronic and Electrical Engineering at University College London

Professor Erwei Bai

Department of Electrical and Computer Engineering at University of Iowa

Regional Editors

Professor Olfa Boubaker (Africa)

National Institute of Applied Sciences and Technology at University of Carthage

Professor Luis Antonio Aguirre (America)

Departamento de Engenharia Eletrônica at Universidade Federal de Minas Gerais (UFMG)

Professor Shaoyuan Li (Asia)

Department of Automation at Shanghai Jiao Tong University

Professor Hamid Reza Karimi (Europe)

Politecnico di Milano at Department of Mechanical Engineering

Professor Ahmed Azar (Middle East)

Faculty of computers and Information at scientific Computing Department

Editorial Board

Dr Ramon Costa-Castelló

Departament d’Enginyeria de Sistemes at Universitat Politècnica de Catalunya

Professor Thomas Gustafsson

Department of Computer Science, Electrical and Space Engineering at Luleå University of Technology

Dr Jawhar Ghommam

Department of Physics and Instrumentation at University of Carthage

Dr Yue Ma

School of Mechanical and Vehicle Engineering at Beijing Institute of Technology

Professor Jing Na

Faculty of Mechanical & Electrical Engineering at Kunming University of Science & Technology

Professor Feng Qiao

Faculty of Information and Control Engineering at Shenyang Jian Zhu University

Dr Iman Sayyaddelshad

Department of Engineering Design and Mathematics at University of the West of England

Professor Vaidyanathan Sundarapandian

R & D Centre at Vel Tech University

Professor Weicun Zhang

School of Automation and Electrical Engineering at University of Science and Technology Beijing

Professor Dongya Zhao

Department of Chemical Equipment and Control Engineering at China University of Petroleum

Book Series: Adaptive Sliding Mode Neural Network Control for Nonlinear Systems

Most recent volume


Volume . Adaptive Sliding Mode Neural Network Control for Nonlinear Systems

Published: 1st September 2018 Authors: Yang Li Jianhua Zhang Wu Qiong

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.

Additional volumes


Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics

Published: 20th June 2018 Authors: Jing Na Qiang Chen Xuemei Ren