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  • Produktbild: The Modeling of Uncertainty in Control Systems
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The Modeling of Uncertainty in Control Systems Proceedings of the 1992 Santa Barbara Workshop

Aus der Reihe Lecture Notes in Control and Information Sciences

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

09.12.1993

Herausgeber

Roy S. Smith + weitere

Verlag

Springer Berlin

Seitenzahl

396

Maße (L/B/H)

23,5/15,5/2,3 cm

Gewicht

628 g

Auflage

1994

Sprache

Englisch

ISBN

978-3-540-19870-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

09.12.1993

Herausgeber

Verlag

Springer Berlin

Seitenzahl

396

Maße (L/B/H)

23,5/15,5/2,3 cm

Gewicht

628 g

Auflage

1994

Sprache

Englisch

ISBN

978-3-540-19870-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: The Modeling of Uncertainty in Control Systems
  • Produktbild: The Modeling of Uncertainty in Control Systems
  • 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.