Control of biological and drug-delivery systems for chemical, biomedical, and pharmaceutical engineering

Enables readers to apply process dynamics and control theory to solve bioprocess and drug delivery problems The control of biological and drug delivery systems is critical to the health of millions of people worldwide. As a result, researchers in systems biology and drug delivery rely on process dyn...

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Bibliographic Details
Main Authors: Simon, Laurent, 1968
Published:
Literature type: Electronic eBook
Language: English
Subjects:
Online Access: http://onlinelibrary.wiley.com/book/10.1002/9781118396490
Summary: Enables readers to apply process dynamics and control theory to solve bioprocess and drug delivery problems The control of biological and drug delivery systems is critical to the health of millions of people worldwide. As a result, researchers in systems biology and drug delivery rely on process dynamics and control theory to build our knowledge of cell behavior and to develop more effective therapeutics, controlled release devices, and drug administration protocols to manage disease. Written by a leading expert and educator in the field, this text helps readers develop a
Item Description: Includes index.
Carrier Form: 1 online resource.
Bibliography: Includes bibliographical references and index.
ISBN: 9781118396483 (epub)
1118396480 (epub)
9781118396469 (pdf)
1118396464 (pdf)
9781118396476 ( mobi)
1118396472 ( mobi)
9781118396490 (electronic bk.)
1118396499 (electronic bk.)
1283917165 (ebk)
9781283917162 (ebk)
Index Number: RS403
CLC: R914
Contents: Mathematical models -- Linearization and deviation variables -- Stability considerations -- Laplace transforms of linear systems -- Inverse laplace transforms -- Transfer functions -- Dynamic behaviors of typical plants -- Closed-loop responses with P, PI and PID controllers -- Frequency response analysis -- Stability analysis of feedback systems -- Design of feedback controllers -- Feedback control of dead-time systems -- Cascade and feedforward control strategies -- Effective time constant -- Optimal control and design.