Classification, Parameter Estimation And State Estimation An Engineering Approach Using Matlab

Classification, Parameter Estimation and State Estimation is a practical and concise inter-disciplinary guide for data analysts and designers interested in advanced measurement-based systems. Highlighting the practical deployment of theoretical issues, the book provides a useful experimentation platform for skilled engineers to implement and evaluate design concepts. Features: A fully integrated and unified approach to parameter estimation, pattern classification and optimal (state) estimation. An introduction to emerging techniques such as support vector machines and particle filtering. Implementations in MATLAB using the PRTools toolbox, with appendices providing the necessary documentation and useful functions for this and other existing toolboxes. End-of-chapter exercises and numerous worked out examples within the text and on the Internet. A valuable text for students and researchers in engineering, computer science, physics and applied mathematics, this book will also prove an essential reference for the practising civil, control, electrical and mechanical engineer.Heijden, Ferdinand van der is the author of 'Classification, Parameter Estimation And State Estimation An Engineering Approach Using Matlab', published 2004 under ISBN 9780470090138 and ISBN 0470090138.