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Robustness in Identification and Control is a comprehensive text that addresses the critical issues of designing and analyzing systems that can perform reliably in the presence of uncertainties and disturbances. The book covers a wide range of topics, from the fundamental theory of robust control and identification to advanced techniques for dealing with nonlinear systems and complex applications. It provides a rigorous mathematical framework for understanding system behavior and for developing controllers that guarantee stability and performance. The authors draw upon their extensive research experience to present a cohesive and in-depth treatment of the subject matter, making this volume an essential reference for researchers, engineers, and graduate students in control engineering, systems science, and related fields.
This book investigates the challenges and methodologies for ensuring reliable identification and control systems in the face of uncertainty and disturbances. It delves into theoretical frameworks and practical applications, drawing on advanced mathematical techniques to analyze system behavior and design robust controllers. The work is aimed at researchers and engineers seeking to enhance the performance and dependability of complex systems across various domains.
The book is recognized as a significant contribution to the field of robust control and identification, offering a comprehensive treatment of theoretical concepts and practical implementations. Its rigorous mathematical approach and detailed analysis make it a valuable resource for advanced students and researchers. The work is noted for its depth and the clarity with which complex topics are presented, solidifying its place as a key reference in systems engineering.
Page Count:
467
Publication Date:
1999-01-01
ISBN-10:
1852331798
ISBN-13:
9781852331795
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