|1."System Identification: Theory for the User (Prentice Hall Information and System Sciences Series)" by Lennart Ljung|
“System Identification: Theory for the User (Prentice Hall Information and System Sciences Series)” Book Review: This book is a comprehensive guide to System Identification, covering theory, methodology, and practical applications. It introduces subspace methods and techniques that use frequency domain data. The book also discusses various non-linear black box methods such as neural networks, wavelet transforms, neuro-fuzzy modeling, and hinging hyperplanes. It covers different types of systems and models, including time-invariant linear systems, time-varying systems, and nonlinear systems. The book explores various approaches to system identification, including nonparametric methods, parameter estimation, convergence, and consistency. It is suitable for professionals, faculty, and students in engineering and control systems.
|2."System Identification: An Introduction (Advanced Textbooks in Control and Signal Processing)" by Karel J Keesman|
“System Identification: An Introduction (Advanced Textbooks in Control and Signal Processing)” Book Review: This book offers a practical approach to system identification, providing step-by-step guidance on how to solve the problem effectively. It covers the entire process, from designing experiments and collecting data to selecting the model structure, estimating parameters, and validating the model. The book introduces system theory, focusing on model representation and properties. It explains data-based identification methods, both non-parametric and time-invariant identification for systems with constant parameters. The book emphasizes recursive estimation techniques and model validation methods. It also introduces semi-physical or gray-box modeling methods and transfer-function system descriptions. The book uses real-world examples, exercises, and illustrations to enhance understanding. It is suitable for graduate and final-year undergraduate students in various engineering disciplines. It is also helpful for control instructors looking to teach identification methods without overwhelming mathematical details.
|3."Principles of System Identification: Theory and Practice" by Arun K Tangirala|
“Principles of System Identification: Theory and Practice” Book Review: This book is an introduction to system identification, focusing on practical applications. It specifically covers discrete-time linear system identification. The book explains the theory behind discrete-time LTI (linear time-invariant) systems and signal processing. It also covers random processes and estimation theory. The main focus is on building dynamic models from experimental data. The book discusses the practical aspects of identification and provides numerical and simulation-based examples, case studies, and end-of-chapter problems. It includes references to code for further illustration and training. This book is suitable for self-study and can be used by both students and graduates.
|4."Applied System Identification" by Jer-Nan Juang|
“Applied System Identification” Book Review: This book is about system identification, which is the process of creating a mathematical model of a real system using experimental data. It provides a comprehensive overview of the recent advancements in this field. The book also shows how system identification can be applied to various engineering systems. It specifically focuses on three types of identification: modal parameter identification, structural-model parameter identification, and control-model identification. Engineers in aerospace, electrical, civil, and mechanical engineering can benefit from this book.
|5."System Identification and Adaptive Control (Advances in Industrial Control)" by Yiannis Boutalis and Dimitrios Theodoridis|
“System Identification and Adaptive Control (Advances in Industrial Control)” Book Review: This book explores the latest developments and practical applications of intelligent systems in engineering. It focuses on system identification and control, presenting recent research findings. The book introduces two models, recurrent neuro fuzzy and fuzzy cognitive network (FCN), which can emulate engineering systems effectively when properly trained. Each chapter includes simulation experiments to illustrate the concepts. The book also features dedicated chapters on industrial applications, including power generation, process control, and benchmarking problems. Researchers, graduate students, and engineers interested in intelligent adaptive control and theoretical results will find this book valuable.
|6."Spectrum Estimation and System Identification" by S Unnikrishna Pillai and Theodore I Shim|
“Spectrum Estimation and System Identification” Book Review: This book explores the analysis of how force or energy is used repeatedly in a given signal, and it discusses methods for identifying the underlying mechanism or system behind the observed signal data. It is intended as a beginner’s guide for graduate-level courses and as a reference for engineers and researchers. The book introduces a new perspective on range assessment and system identification using the concepts of positive functions and bounded functions. These concepts, which are commonly used in classical network analysis and synthesis problems, provide a fresh approach to signal processing issues. Positive functions have been previously used to study interpolation problems, and surprisingly, they can also be applied to the framework identification problem in an interesting way within this context.
We have compiled a list of the Best Reference Books on System Identification, which are used by students of top universities, and colleges. This will help you choose the right book depending on if you are a beginner or an expert. Here is the complete list of System Identification Books with their authors, publishers, and an unbiased review of them as well as links to the Amazon website to directly purchase them. If permissible, you can also download the free PDF books on System Identification below.
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