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.

This book demonstrates that eigenstructure control theory can be easily adapted and infused into aircraft industry's stringent design practices.

This book discusses the latest developmens in modelling, simulation and control of flexible robot manipulators. Coverage includes an overall review of previously developed methodologies, a range of modelling approaches including classical techniques, parametric and neuromodelling approaches and numerical modelling/simulation techniques.

This second collection of advances, in this rapidly developing field, is an essential referance for anyone involved in the design and development of unmanned vehicles.

This book provides an introduction to the techniques employed in the design and implementation of digital control systems. Most chapters include numerous worked examples and details of particular applications in order to enhance the theory introduced.

Intelligent Control techniques are becoming important tools in both academia and industry. Methodologies developed in the field of soft-computing, such as neural networks, fuzzy systems and evolutionary computation, can lead to accommodation of more complex processes, improved performance and considerable time savings and cost reductions.

Handbook of Vehicle Suspension Control Systems surveys the state-of-art in advanced suspension control theory and applications, with an overview of intelligent vehicle active suspension adaptive control systems, and robust active control of an integrated suspension system, amongst many others.

The book discusses human factors integration methodolgy and reviews the issues that underpin consideration of key topics such as human error, automation and human reliability assesment.