Blind Identification of Structured Dynamic Systems: A Deterministic Perspective

This book provides new identification ideas/insights for dealing with challenging system identification problems, covering essential algebraic, system, and optimization theories to help graduate students enter the field.

Format: Paperback / softback
Length: 267 pages
Publication date: 24 November 2022
Publisher: Springer Verlag, Singapore

This book is a valuable resource for researchers actively engaged in the field of (blind) system identification, offering innovative ideas and insights to address complex system identification challenges. It provides a comprehensive overview of the state-of-the-art in this area, saving valuable time and effort by consolidating scattered information from research papers, reports, and unpublished works. Additionally, it serves as a self-contained guide, encompassing essential algebraic, system, and optimization theories, enabling graduate students to enter the captivating world of blind system identification with reduced effort.

The book is organized into five chapters, each dedicated to a specific aspect of blind system identification. Chapter 1 provides an introduction to the topic, outlining the challenges and opportunities in system identification. Chapter 2 explores different identification methods, including model-based, data-driven, and hybrid approaches, highlighting their strengths and limitations. Chapter 3 discusses the importance of system modeling and parameter estimation in blind system identification, emphasizing the need for accurate and reliable models. Chapter 4 explores the application of blind system identification in various fields, such as control, signal processing, and robotics, showcasing real-world examples and successful implementations. Chapter 5 concludes the book by discussing future research directions and potential applications of blind system identification.

Throughout the book, comprehensive explanations and examples are provided to facilitate a deep understanding of the concepts and techniques discussed. The authors have extensive experience in the field of blind system identification and have contributed significantly to the literature. This book is an essential resource for researchers, students, and practitioners interested in developing advanced identification algorithms and applying them to real-world systems.

Weight: 438g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811675768
Edition number: 1st ed. 2022