Del 192 - Lecture Notes in Control and Information Sciences

Modeling of Uncertainty in Control Systems

Proceedings of the 1992 Santa Barbara Workshop

Häftad, Engelska, 1993

Av Roy S. Smith, Mohammed Dahleh

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This book is a collection of work arising from a NSF/ AFOSR sponsored workshop held at the University of California, Santa Barbara, 18-20th June 1992. Sixty-nine researchers, from nine countries, participated. Twelve keynote essays give an overview of the field and speculate on future directions and nineteen technical papers delineate the state of the art in the field. This book serves both as in introduction to the topic and as a reference on the current technical problems and approaches.

Produktinformation

Utgivningsdatum1993-12-09
Mått155 x 235 x 23 mm
Vikt628 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Control and Information Sciences
Antal sidor396
Upplaga1994
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783540198703

Tillhör följande kategorier

Identification and robust control.- An essay on identification of feedback systems.- Thoughts on identification for control.- An essay on robust control.- On the character of uncertainty for system identification and robust control design.- Extensions of parametric bounding formulation of identification for robust control design.- Connecting identification and robust control.- On nominal models, model uncertainty and iterative methods in identification and control design.- An informal review of model validation.- From data to control.- Is robust control reliable?.- Modeling uncertainty in control systems: A process control perspective.- A note on H ? system identification with probabilistic a priori information.- A worst case identification method using time series data.- Identification in H ? using time-domain measurement data.- Identification of feedback systems from time series.- Input-output extrapolation-minimization theorem and its applications to model validation and robust identification.- Identification of model error bounds in l 1- and H ?-norm.- Asymptotic worst-case identification with bounded noise.- Sequential approximation of uncertainty sets via parallelotopes.- A robust ellipsoidal-bound approach to direct adaptive control.- On line model uncertainty quantification: Hard upper bounds and convergence.- A mixed deterministic-probabilistic approach for quantifying uncertainty in Transfer Function Estimation.- Estimation for robust control.- Non-vanishing model errors.- Accuracy confidence bands including the bias of model under-fitting.- Iterative identification and control design: A worked out example.- Frequency domain identification for robust control design.- Time domain approach to the design of integrated control and diagnosis systems.-Identification of Ill-conditioned plants — A benchmark problem.- Control design and implementation based on experimental wind turbine models.