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LMP 2007
Volume 1 covers core publishing industry information: book publishers; editorial services and agents; associations, events, courses and awards; and books and magazines for the trade. Volume 2 contains information on service providers and suppliers to the publishing industry. advertising, marketing and publicity; book manufacturing; sales and distribution; and services and suppliers can be found in this volume. Entries generally contain name, address, telephone and other telecommunications data, key personnel, company reportage, branch offices, brief statistics and descriptive annotations. Where applicable, Standard Address Numbers (SANs) have been included. SANs are unique numbers assigned to the addresses of publishers, wholesalers and booksellers. Publishers' entries also contain their assigned ISBN prefixes.
Control of Linear Parameter Varying Systems with Applications
Control of Linear Parameter Varying Systems compiles state-of-the-art contributions on novel analytical and computational methods for addressing system identification, model reduction, performance analysis and feedback control design and addresses address theoretical developments, novel computational approaches and illustrative applications to various fields. Part I discusses modeling and system identification of linear parameter varying systems, Part II covers the importance of analysis and control design when working with linear parameter varying systems (LPVS) , Finally, Part III presents an applications based approach to linear parameter varying systems, including modeling of a turbocharged diesel engines, Multivariable control of wind turbines, modeling and control of aircraft engines, control of an autonomous underwater vehicles and analysis and synthesis of re-entry vehicles.
Developments in Model-Based Optimization and Control
This book deals with optimization methods as tools for decision making and control in the presence of model uncertainty. It is oriented to the use of these tools in engineering, specifically in automatic control design with all its components: analysis of dynamical systems, identification problems, and feedback control design. Developments in Model-Based Optimization and Control takes advantage of optimization-based formulations for such classical feedback design objectives as stability, performance and feasibility, afforded by the established body of results and methodologies constituting optimal control theory. It makes particular use of the popular formulation known as predictive control ...
