Nonlinear estimation and applications to industrial systems control
Author(s)
Bibliographic Information
Nonlinear estimation and applications to industrial systems control
（Engineering tools, techniques and tables series）（Mathematics research developments series）
Nova, c2012
- : hardcover
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
This book analyses recent advances in non-linear 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 non-linear 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 non-linear dynamical systems, according to recently developed filtering methods and non-linear control techniques, this book is a useful reference for researchers and engineers.
Table of Contents
- Preface
- A generalized robust filtering framework for nonlinear differential algebraic systems with uncertainties
- Variance-constrained filtering for a class of nonlinear stochastic systems
- Random coefficient matrices in Kalman Filtering with applications
- Online distributed estimation of interdependent critical infrastructures
- Nonlinear estimation and fault detection for large scale industrial HVAC systems
- Nonlinear observers for estimation of state and kinetics in bioprocesses
- Review of nonlinear Kalman, Ensemble and Particle Filtering with application to the history matching problem
- Observer-based indirect adaptive sliding mode control design and implementation for a class of nonlinear systems
- Consensus-based Particle Filter implementations for distributed nonlinear systems.
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