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Nonlinear Estimation and Applications to Industrial Systems Control
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$189.00
Editors: Gerasimos Rigatos (Unit of Industrial Automation, Industrial Systems Institute, Rion Patras, Greece)
Book Description:
This book analyzes recent advances in nonlinear state estimation and application of such estimation schemes to industrial systems control. This book is mainly addressed to graduate students, researchers and engineers working on the problems of estimation and control of nonlinear dynamical systems. This book comes to address the increasing interest of the engineering community in control systems that process and integrate information coming from various types of sensors. By providing analysis on non-trivial problems of joint estimation and control for nonlinear dynamical systems, according to recently developed filtering methods and nonlinear control techniques, this book is a useful reference for researchers and engineers. (Imprint: Nova)

Table of Contents:
Preface pp. i-xii

Chapter 1. A generalized robust filtering framework for nonlinear differential algebraic systems with uncertainties
(Massoud Abbaszadeh) pp. 1-22

Chapter 2. Variance-constrained filtering for a class of nonlinear stochastic systems
(Lifeng Ma, Zidong Wang, Guoliang Wei, Yuming Bo and Zhi Guo)pp. 23-60

Chapter 3. Random coefficient matrices in Kalman Filtering with applications
(Yingting Luo, Xiaojing Shen and Yunming Zhu)pp. 61-88

Chapter 4. Online distributed estimation of interdependent critical infrastructures
(Gabriele Oliva, Stefano Panzieri and Chiara Foglieta) pp. 89-120

Chapter 5. Nonlinear estimation and fault detection for large scale industrial HVAC systems
(Anwer Bashi, Vesselin Jilkov and X. Rong Li)pp. 121-154

Chapter 6. Nonlinear observers for estimation of state and kinetics in bioprocesses
(Emil Petre and Dan Selisteanu)pp. 155-196

Chapter 7. Review of nonlinear Kalman, Ensemble and Particle Filtering with application to the history matching problem - Authors: (Xiaodong Luo, Ibrahim Hoteit, Lian Duan and Wunhui Wang)pp. 197-224

Chapter 8. Observer-based indirect adaptive sliding mode control design and implementation for a class of nonlinear systems
(Ayman Al-Khazraji and Janan Zaytoon)pp. 225-246

Chapter 9. Consensus-based Particle Filter implementations for distributed nonlinear systems
(Arash Mohammad and Amir Asif)pp. 247-286

Chapter 10. Environmental function modelling with sparse Gaussian Process Regression
(Dongbing Gu)pp. 287-300

Chapter 11. Differential flatness and Extended Kalman Filtering for sensorless control of doubly-fed induction generators
(G. Rigatos and P. Siano)pp. 301-324

Chapter 12. Flatness-based adaptive fuzzy control for MIMO nonlinear dynamical systems
(G. Rigatos and A. Al-Khazraji)pp. 325-350

Index pp. 351-365

   Series:
      Engineering Tools, Techniques and Tables
      Mathematics Research Developments
   Binding: Hardcover
   Pub. Date: 2012- November
   Pages: 377, 7 x 10 (NBC - C)
   ISBN: 978-1-61942-898-0
   Status: AV
  
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
  
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Nonlinear Estimation and Applications to Industrial Systems Control