Best Reference Books – Modelling and Identification of Dynamical Systems

«
»
We have compiled the list of Top 10 Best Reference Books on Modelling and Identification of Dynamical Systems subject. These books are used by students of top universities, institutes and colleges. Here is the full list of top 10 best books on Modelling and Identification of Dynamical Systems along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Modelling and Identification of Dynamical Systems subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Modelling and Identification of Dynamical Systems" as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.

1. “System Dynamics” by E O Doeblin

Book Review: This book addresses the topics from system elements and basic first and second order systems to complex lumped and distributed parameter models of practical machines and processes. The book also provides in detail the utility of system dynamics for the analysis and design of mechanical, fluid, thermal and mixed engineering systems. The book also describes digital simulation and integrates frequency response methods. This is a very good textbook for graduate and undergraduate courses.

2. “System Identification: Theory for the User” by L Ljung

advertisement
“System Identification: Theory for the User” Book Review: This book provides a fundamental overview on system identification. It provides a description of the theory, the methodology and practice of System Identification. It covers the science of building mathematical models of dynamic systems by observing input and output data. It describes topics on subspace methods, the non-linear black box models such as neural networks. The book contains many new computer-based examples which are designed for the System Identification Toolbox for MATLAB.

3. “Mastering System Identification in 100 Exercises” by Johan Schoukens

“Mastering System Identification in 100 Exercises” Book Review: This book provides a comprehensive overview on system identification and linear system modeling. It makes use of several practical exercises without requiring complex theoretical knowledge which makes it easy for the reader to comprehend the subject. The contents describe state-of-the-art system identification methods, with frequency and time domain system identification methods. It also covers pros and cons of each method. Every chapter contains MATLAB exercises, explanation of problem and solution, MATLAB downloads, and large-scale projects that serve as potential assignments.

4. “Modeling and Control of Discrete-Event Dynamic Systems” by Hruz Zhou

advertisement
advertisement
“Modeling and Control of Discrete-Event Dynamic Systems” Book Review: This book provides a detailed overview on modeling and control of discrete-event dynamic systems. It explains the profound importance of these systems in modern manufacturing processes. It explains how these systems are heavily used in transportation and various other forms of computer and communications networking. It starts with mathematical basics required for the study of DED. It moves on to represent various tools used in modeling and control. It provides industrial examples that illustrate the concepts and methods discussed, making this book an instrumental aid for students willing to embark on more courses in control, computer studies, or manufacturing engineering.

5. “Identity, Security and Democracy” by E Mordini

“Identity, Security and Democracy” Book Review: This book provides a fundamental overview on identity, security, and democracy. It talks about personal identity which has two separate concepts, namely that an individual belongs to specific categories and that an individual can be distinguished by other people and understood as one. It explains the different aspects involved in personal recognition which helps distinguish between individuals and distinguishing between sets of people. The topics covered in the book are biomedicine, artificial intelligence, oncology, database, and information systems, etc.

6. “Modelling and Identification of Dynamic Systems” by N K Sinha B Kuszta

advertisement
“Modelling and Identification of Dynamic Systems” Book Review: The book provides a detailed overview on modelling and identification of dynamic systems. It talks about properties like universal approximation ability and parallel network structure. It discusses the availability of on- and off-line learning methods for interconnecting weights. It describes the dynamic models that contain neural network architectures which can be highly non-linear and difficult to analyze. It expects the reader to have mathematical theory knowledge limited to basic analysis, differential equations, matrix calculus, and basic linear system theory. It covers topics like nonlinear system identification, top-down model based neural control design, neural optimal control, and stability analysis of neural control systems.

7. “Modeling Identification and Simulation of Dynamical System” by Van Den Bosch

“Modeling Identification and Simulation of Dynamical System” Book Review: This book provides a detailed introduction on modeling identification and simulation of dynamical systems. It talks about areas of modeling, simulation, identification, and optimization. It explains how these topics play an increasingly influential part in many engineering areas like mechanical engineering, aerospace, electrotechnology, and physics. It describes techniques for solving general nonlinear optimization problems. The main points discussed include mathematical models, concerning physics in describing a system, and much more Multiple chapters discuss identification of black-box models.

8. “Identification in Dynamic Shock-Error Models” by A Maravall

advertisement
“Identification in Dynamic Shock-Error Models” Book Review: This book provides a comprehensive overview on identification in dynamic shock-error models. It describes the effect of standard dynamic on the state of identification of a model while looking at very simple examples of error-in-variables models. It explains the necessary and sufficient conditions for identification. It attempts to analyze econometric identification of models when the variables are measured with error and when dynamic features are present.

9. “Algebraic Identification and Estimation Methods in Feedback Control Systems” by Alberto Luviano-Juarez

“Algebraic Identification and Estimation Methods in Feedback Control Systems” Book Review: This book provides a detailed overview on algebraic identification and estimation methods. It uses module theory, operational calculus, and differential algebra in an easy-to-understand way and details how to apply them in the context of feedback control systems. It provides a wide variety of examples, including mechanical systems, electric motors, chaotic systems, and power converters to illustrate the algebraic methodology. Key features include presentation of a radically new approach to online parameter and estimation. It includes examples of physical applications with experimental results while paying attention to the latest developments and applications.

10. “Identification of Dynamical Systems with Small Noise” by Kutoyants

advertisement
“Identification of Dynamical Systems with Small Noise” Book Review: The book provides a fundamental overview on identification of dynamical systems with small noise. It lays emphasis on the concept of small noise is good noise. It focuses on the problems of estimation theory which are related to the observations of the diffusion-type process. It provides observations on the standard Wiener process and some non-anticipative smooth functions. It also describes the asymptotic properties of maximum likelihood (MLE), Bayes (BE) and minimum distance (MDE) estimators. It covers nonparametric estimation and the disorder problem, problems of parameter estimators for linear and nonlinear partially observed models.

People who are searching for Free downloads of books and free pdf copies of these top 10 books on Modelling and Identification of Dynamical Systems – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

We have created a collection of best reference books on "Modelling and Identification of Dynamical Systems" so that one can readily see the list of top books on "Modelling and Identification of Dynamical Systems" and buy the books either online or offline.

If any more book needs to be added to the list of best books on Modelling and Identification of Dynamical Systems subject, please let us know.

Sanfoundry Global Education & Learning Series – Best Reference Books!

Participate in the Sanfoundry Certification contest to get free Certificate of Merit. Join our social networks below and stay updated with latest contests, videos, internships and jobs!
advertisement
advertisement
Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn | Youtube | Instagram | Facebook | Twitter