Informazioni su questo prodotto

Product Identifiers

PublisherWiley & Sons, Incorporated, John

ISBN-100780334086

ISBN-139780780334083

eBay Product ID (ePID)1617916

Product Key Features

Number of Pages344 Pages

LanguageEnglish

Publication NamePhysiological Control Systems : Analysis, Simulation, and Estimation

Publication Year1999

SubjectLife Sciences / Anatomy & Physiology (See Also Life Sciences / Human Anatomy & Physiology), System Theory, Biomedical

TypeTextbook

Subject AreaTechnology & Engineering, Science

AuthorMichael C. K. Khoo, Michael C. Khoo

SeriesIEEE Press Series on Biomedical Engineering Ser.

FormatHardcover

Dimensions

Item Height0.9 in

Item Weight29.4 Oz

Item Length10.4 in

Item Width7.3 in

Additional Product Features

Intended AudienceScholarly & Professional

LCCN99-027107

Dewey Edition21

Series Volume Number2

IllustratedYes

Dewey Decimal571.7/015118

Table Of ContentPreface. Acknowledgments. Introduction. Mathematical Modeling. Static Analysis of Physiological Systems. Time-Domain Analysis of Linear Control Systems. Frequency-Domain Analysis of Linear Control Systems. Stability Analysis: Linear Approaches. Identification of Physiological Control Systems. Optimization in Physiological Control. Nonlinear Analysis of Physiological Control Systems. Complex Dynamics in Physiological Control Systems. Appendix I: Commonly Used Laplace Transform Pairs. Appendix II: List of MATLAB and SIMULINK Programs/Functions. Index. About the Author.

SynopsisBiomedical / Electrical Engineering Physiological Control Systems Analysis, Simulation, and Estimation A volume in the IEEE Press Series in Biomedical Engineering Metin Akay, Series Editor Many recently improved medical diagnostic techniques and therapeutic innovations have resulted from physiological systems modeling. This comprehensive book will help undergraduate and graduate students and biomedical scientists to gain a better understanding of how the principles of control theory, systems analysis, and model identification are used in physiological regulation. Ample Simulink and MATLAB examples throughout the text and posted at an IEEE FTP site will provide you with a hands-on approach for exploring modeling and analysis of biological control systems. You will learn about classical control theory and its application to physiological systems, and contemporary topics and methodologies shaping bioengineering research today. Discussions on the latest developments in system identification, optimal control, and nonlinear dynamical analysis will keep you up-to-date with recent bioengineering advances. From modeling and stability analysis to feedback control in physiological regulatory mechanisms, Physiological Control Systems provides an in-depth study of key bioengineering principles that is simply unmatched in the field., Many recently improved medical diagnostic techniques and therapeutic innovations have resulted from physiological systems modeling. This comprehensive book will help undergraduate and graduate students and biomedical scientists to gain a better understanding of how the principles of control theory, systems analysis, and model identification are used in physiological regulation. Ample Simulink? and MATLAB? examples throughout the text and posted at an IEEE FTP site will provide you with a hands-on approach for exploring modeling and analysis of biological control systems. You will learn about classical control theory and its application to physiological systems, and contemporary topics and methodologies shaping bioengineering research today. Discussions on the latest developments in system identification, optimal control, and nonlinear dynamical analysis will keep you up-to-date with recent bioengineering advances. From modeling and stability analysis to feedback control in physiological regulatory mechanisms, Physiological Control Systems provides an in-depth study of key bioengineering principles that is simply unmatched in the field. To obtain instructor material, please send an email to: ieeeproposals@wiley.com, Many recently improved medical diagnostic techniques and therapeutic innovations have resulted from physiological systems modeling.

LC Classification NumberQP33.6.M36K48 2000