Physiological Control Systems (eBook)
John Wiley & Sons (Verlag)
978-1-119-05879-3 (ISBN)
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.
MICHAEL C.K. KHOO is a Professor of Biomedical Engineering and Pediatrics in the Biomedical Engineering Department at the University of Southern California. He is a fellow of the IEEE, Biomedical Engineering Society, the American Institute of Medical and Biological Engineering, and the International Academy of Medical and Biological Engineering.
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.
MICHAEL C.K. KHOO is a Professor of Biomedical Engineering and Pediatrics in the Biomedical Engineering Department at the University of Southern California. He is a fellow of the IEEE, Biomedical Engineering Society, the American Institute of Medical and Biological Engineering, and the International Academy of Medical and Biological Engineering.
| Erscheint lt. Verlag | 12.4.2018 |
|---|---|
| Reihe/Serie | IEEE Press Series on Biomedical Engineering |
| IEEE Press Series on Biomedical Engineering | IEEE Press Series on Biomedical Engineering |
| Sprache | englisch |
| Themenwelt | Technik ► Elektrotechnik / Energietechnik |
| Schlagworte | biomedical engineering • Biomedizintechnik • Closed-Loop Analysis Heart and Systemic Circulation Combined • Control Systems Technology • Descriptors of Impulse and Step Responses • Determination of the Steady-State Operating Point • Differences between Engineering and Physiological Control Systems • Distributed-Parameter versus Lumped-Parameter Models • Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • Guide to physiological control systems • Linearized Respiratory Mechanics: Open-Loop versus Closed-Loop • Linear Models of Physiological Systems • Linear Systems and the Superposition Principle • Models with Combinations of System Elements • Open-Loop and Closed-Loop Transient Responses: First-Order Model • Open-Loop versus Closed-Loop Transient Responses: Second-Order Model • Physiologic Modeling & Control Systems • Physiologische Modellierung, Steuersysteme • Regelungstechnik • resource for physiological control systems • Steady-State Analysis Using SIMULINK • Systems Engineering & Management • Systemtechnik u. -management • The Impulse Response and Linear Convolution: Static analysis of physiological systems • The Science and Art of Modeling • Time-Domain Analysis of Linear Control Systems |
| ISBN-10 | 1-119-05879-1 / 1119058791 |
| ISBN-13 | 978-1-119-05879-3 / 9781119058793 |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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