5 Best Books on Estimation and Identification

We have compiled a list of the Best Reference Books on Estimation and 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 Estimation and 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 Estimation and Identification below.

1."System Identification Theory for the User" by L Ljung
Book Review: This book is suitable for System Identification courses. It provides a comprehensive and organized explanation of the principles, approaches, and application of System Identification, which involves constructing mathematical models of dynamic systems by analyzing input/output data. The book emphasizes practical decision-making and presents relevant theoretical backgrounds for the reader. The new edition contains the latest information on subspace techniques, non-linear black box models like neural networks, and methods that utilize frequency domain data.

2."Random Signals Estimation and Identification: Analysis and Applications" by Nirode Mohanty
“Random Signals Estimation and Identification: Analysis and Applications” Book Review: This book provides a thorough and practical introduction to the computational aspects of random signal analysis, estimation, filtering, and identification. It covers important topics such as random processes, spectral analysis, optimization, and detection. The book assumes knowledge of basic probability and linear algebra, and is suitable for practicing engineers, scientists, and students studying random processes, estimation theory, and system identification. The algorithms presented in the book are also applicable to industrial projects.

3."Spectrum Estimation and System Identification" by Theodore I Shim S Unnikrishna Pillai Shim Pillai
“Spectrum Estimation and System Identification” Book Review: This book provides a fresh perspective on spectrum estimation and system identification, using positive functions and bounded functions as key tools. These powerful concepts are essential for analyzing diverse signal processing problems, interpolation problems, and the system identification problem from a novel angle. The book explores the rational and stable approximation of non-rational transfer functions, both in single-channel and multichannel cases, with practical applications in distributed system theory, analysis of differential equations with delays, and simulation of systems governed by partial differential equations. It is recommended for engineers, researchers, and graduate-level students seeking innovative insights in signal processing and system identification.

4."State Estimation Techniques: Identification of Parameters of Finite Element Models" by Ahmed Nasrellah Hassan Dr
“State Estimation Techniques: Identification of Parameters of Finite Element Methods” Book Review: The book explores dynamic state estimation methods used to estimate parameters of vibrating structures. It introduces a pseudo-time parameter to investigate strategies for data fusion from multiple tests using Kalman and Particle filtering techniques. The book also discusses using finite element models in commercial software to communicate with databases of measurements through a particle filtering algorithm developed on MATLAB. Finally, it presents applications of the proposed methods, such as finite element model updating of bridge structures and vehicle-structure interaction problems. The book is suitable for engineers, researchers, and graduate-level students interested in vibration analysis and model updating.

5."Recursive Identification and Parameter Estimation" by Chen Zhao
“Recursive Identification and Parameter Estimation” Book Review: The book presents a recursive approach for solving system identification and parameter estimation problems in diverse areas. It covers essential topics such as probability theory, martingales, Markov chains, and stationary processes. The book then addresses the root-seeking problem for functions using the RM algorithm and SAAWET. Readers can also learn about recursive identification of ARMAX systems and nonlinear systems. Theoretical analysis and proposed algorithms are provided to develop modeling and identification skills for successful research and application. This book is designed for students, researchers, and engineers working in systems and control, signal processing, communication, and mathematical statistics.

We have put a lot of effort into researching the best books on Estimation and Identification and came out with a recommended list and their reviews. If any more book needs to be added to this list, please email us. We are working on free pdf downloads for books on Estimation and Identification and will publish the download link here. Fill out this Estimation and Identification books pdf download" request form for download notification.

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