Distributed Control and Filtering for Industrial Systems

Distributed Control and Filtering for Industrial Systems provides an introduction to the control and filtering algorithms devised for distributed environments, with a particular emphasis on industrial applications.

List of contents

• Chapter 1: Introduction


• Chapter 2: Distributed model predictive control


• Chapter 3: Distributed linear quadratic control


• Chapter 4: Distributed observer-based control


• Chapter 5: Distributed consensus control


• Chapter 6: Distributed estimation


• Chapter 7: Distributed Kalman filtering


• Chapter 8: Experimental setups


• Chapter 9: Appendix

About the author

Magdi Mahmoud is a Distinguished University Professor at the Systems Engineering Department, King Fahd University for Petroleum and Minerals, Saudi Arabia. He is a Fellow of the IET, and author of several books and over 490 papers on systems control.

Product details

• Authors: Magdi S Mahmoud, Magdi S. Mahmoud
• Publisher: Institution of Engineering & Technology
• Languages: English
• Product format: Hardback
• Released: 06.12.2012
• EAN: 9781849196079
• ISBN: 978-1-84919-607-9
• No. of pages: 488
• Dimensions: 161 mm x 240 mm x 30 mm
• Weight: 888 g
• Series: Iet Control Engineering; Control, Robotics and Sensors; Iet Control Engineering
• Subject: Natural sciences, medicine, IT, technology > Technology > General, dictionaries