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Physiological Control Systems

2018-06-06 Science
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Release : 2018-06-06
Genre : Science
Kind : eBook
Book Rating : 334/5 ( reviews)

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Book Synopsis Physiological Control Systems by : Michael C. K. Khoo

Download or read book Physiological Control Systems written by Michael C. K. Khoo. This book was released on 2018-06-06. Available in PDF, EPUB and Kindle. Book excerpt: A guide to common control principles and how they are used to characterize a variety of physiological mechanisms The second edition of Physiological Control Systems offers an updated and comprehensive resource that reviews the fundamental concepts of classical control theory and how engineering methodology can be applied to obtain a quantitative understanding of physiological systems. The revised text also contains more advanced topics that feature applications to physiology of nonlinear dynamics, parameter estimation methods, and adaptive estimation and control. The author—a noted expert in the field—includes a wealth of worked examples that illustrate key concepts and methodology and offers in-depth analyses of selected physiological control models that highlight the topics presented. The author discusses the most noteworthy developments in system identification, optimal control, and nonlinear dynamical analysis and targets recent bioengineering advances. Designed to be a practical resource, the text includes guided experiments with simulation models (using Simulink/Matlab). Physiological Control Systems focuses on common control principles that can be used to characterize a broad variety of physiological mechanisms. This revised resource: Offers new sections that explore identification of nonlinear and time-varying systems, and provide the background for understanding the link between continuous-time and discrete-time dynamic models Presents helpful, hands-on experimentation with computer simulation models Contains fully updated problems and exercises at the end of each chapter Written for biomedical engineering students and biomedical scientists, Physiological Control Systems, offers an updated edition of this key resource for understanding classical control theory and its application to physiological systems. It also contains contemporary topics and methodologies that shape bioengineering research today.

Physiological Control Systems

2018-04-12 Science
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Release : 2018-04-12
Genre : Science
Kind : eBook
Book Rating : 805/5 ( reviews)

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Book Synopsis Physiological Control Systems by : Michael C. K. Khoo

Download or read book Physiological Control Systems written by Michael C. K. Khoo. This book was released on 2018-04-12. Available in PDF, EPUB and Kindle. Book excerpt: A guide to common control principles and how they are used to characterize a variety of physiological mechanisms The second edition of Physiological Control Systems offers an updated and comprehensive resource that reviews the fundamental concepts of classical control theory and how engineering methodology can be applied to obtain a quantitative understanding of physiological systems. The revised text also contains more advanced topics that feature applications to physiology of nonlinear dynamics, parameter estimation methods, and adaptive estimation and control. The author—a noted expert in the field—includes a wealth of worked examples that illustrate key concepts and methodology and offers in-depth analyses of selected physiological control models that highlight the topics presented. The author discusses the most noteworthy developments in system identification, optimal control, and nonlinear dynamical analysis and targets recent bioengineering advances. Designed to be a practical resource, the text includes guided experiments with simulation models (using Simulink/Matlab). Physiological Control Systems focuses on common control principles that can be used to characterize a broad variety of physiological mechanisms. This revised resource: Offers new sections that explore identification of nonlinear and time-varying systems, and provide the background for understanding the link between continuous-time and discrete-time dynamic models Presents helpful, hands-on experimentation with computer simulation models Contains fully updated problems and exercises at the end of each chapter Written for biomedical engineering students and biomedical scientists, Physiological Control Systems, offers an updated edition of this key resource for understanding classical control theory and its application to physiological systems. It also contains contemporary topics and methodologies that shape bioengineering research today.

Physiological Control Systems: Analysis, Simulation, And Estimation

2000 Physiology
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Release : 2000
Genre : Physiology
Kind : eBook
Book Rating : 441/5 ( reviews)

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Book Synopsis Physiological Control Systems: Analysis, Simulation, And Estimation by : Khoo

Download or read book Physiological Control Systems: Analysis, Simulation, And Estimation written by Khoo. This book was released on 2000. Available in PDF, EPUB and Kindle. Book excerpt:

Mathematical Modeling and Validation in Physiology

2012-12-14 Mathematics
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Release : 2012-12-14
Genre : Mathematics
Kind : eBook
Book Rating : 822/5 ( reviews)

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Book Synopsis Mathematical Modeling and Validation in Physiology by : Jerry J. Batzel

Download or read book Mathematical Modeling and Validation in Physiology written by Jerry J. Batzel. This book was released on 2012-12-14. Available in PDF, EPUB and Kindle. Book excerpt: This volume synthesizes theoretical and practical aspects of both the mathematical and life science viewpoints needed for modeling of the cardiovascular-respiratory system specifically and physiological systems generally. Theoretical points include model design, model complexity and validation in the light of available data, as well as control theory approaches to feedback delay and Kalman filter applications to parameter identification. State of the art approaches using parameter sensitivity are discussed for enhancing model identifiability through joint analysis of model structure and data. Practical examples illustrate model development at various levels of complexity based on given physiological information. The sensitivity-based approaches for examining model identifiability are illustrated by means of specific modeling examples. The themes presented address the current problem of patient-specific model adaptation in the clinical setting, where data is typically limited.

Signals and Systems in Biomedical Engineering

2012-12-06 Technology & Engineering
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Release : 2012-12-06
Genre : Technology & Engineering
Kind : eBook
Book Rating : 995/5 ( reviews)

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Book Synopsis Signals and Systems in Biomedical Engineering by : Suresh R. Devasahayam

Download or read book Signals and Systems in Biomedical Engineering written by Suresh R. Devasahayam. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: In the past few years Biomedical Engineering has received a great deal of attention as one of the emerging technologies in the last decade and for years to come, as witnessed by the many books, conferences, and their proceedings. Media attention, due to the applications-oriented advances in Biomedical Engineering, has also increased. Much of the excitement comes from the fact that technology is rapidly changing and new technological adventures become available and feasible every day. For many years the physical sciences contributed to medicine in the form of expertise in radiology and slow but steady contributions to other more diverse fields, such as computers in surgery and diagnosis, neurology, cardiology, vision and visual prosthesis, audition and hearing aids, artificial limbs, biomechanics, and biomaterials. The list goes on. It is therefore hard for a person unfamiliar with a subject to separate the substance from the hype. Many of the applications of Biomedical Engineering are rather complex and difficult to understand even by the not so novice in the field. Much of the hardware and software tools available are either too simplistic to be useful or too complicated to be understood and applied. In addition, the lack of a common language between engineers and computer scientists and their counterparts in the medical profession, sometimes becomes a barrier to progress.

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