A textbook and reference on quasilinear control (QLC) - a set of methods for performance analysis and design of linear plant or nonlinear instrumentation systems.
A textbook and reference on quasilinear control (QLC) - a set of methods for performance analysis and design of linear plant or nonlinear instrumentation systems.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
ShiNung Ching is a Postdoctoral Fellow at the Neurosciences Statistics Research Laboratory at MIT, where he has been since completing his Ph.D. in Electrical Engineering at the University of Michigan. His research involves a systems theoretic approach to anesthesia and neuroscience, looking to use mathematical techniques and engineering approaches - such as dynamical systems, modeling, signal processing and control theory - to offer new insights into the mechanisms of the brain. By combining physiology with technical tools, this 'systems neuroscience' approach to neurodynamics promises to suggest novel medical and pharmacological strategies and technologies.
Inhaltsangabe
1. Introduction 2. Stochastic linearization of LPNI systems 3. Analysis of reference tracking in LPNI systems 4. Analysis of disturbance rejection in LPNI systems 5. Design of reference tracking controllers for LPNI systems 6. Design of disturbance rejection controllers for LPNI systems 7. Performance recovery in LPNI systems 8. Proofs.
1. Introduction 2. Stochastic linearization of LPNI systems 3. Analysis of reference tracking in LPNI systems 4. Analysis of disturbance rejection in LPNI systems 5. Design of reference tracking controllers for LPNI systems 6. Design of disturbance rejection controllers for LPNI systems 7. Performance recovery in LPNI systems 8. Proofs.
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