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.
