Generalized Predictive Control (GPC) uses a formulated mathematical model to predict the behavior of a process in advance, and to thereby enable the appropriate control action to be implemented This book focuses on uses of GPC in clinical medicine, especially in the development of control techniques to solve the complex problems associated with the delivery of anesthetic agents to humans. Draws together work in both intelligent systems and classical adaptive control and presents new control designs which have been validated in simulation experiments and in practice. Suitable for control engineers and postgraduate students. Annotation c. by Book News, Inc., Portland, Or.
Predictive control is a powerful tool in dealing with those processes with large time delays. Generalized Predictive Control GPC is the most popular approach to the subject, and this text discusses the application of GPC starting with the concept of long-range predictive control and its need in medicine particularly automated drug deliveries.; The concept of adaptation is also emphasized with respect to patient-to-patient parameter variations. Subsequent chapters discuss interactions, comparisons and various aspects of GPC. The book concludes by putting into perspective the generic nature of the architecture built around GPC and which provides model-based fault diagnosis with control.
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