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1. WO2000041042 - ADAPTATION TO UNMEASURED VARIABLES

Publication Number WO/2000/041042
Publication Date 13.07.2000
International Application No. PCT/US2000/000387
International Filing Date 06.01.2000
Chapter 2 Demand Filed 27.07.2000
IPC
G05B 13/04 2006.01
GPHYSICS
05CONTROLLING; REGULATING
BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
13Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
02electric
04involving the use of models or simulators
G05B 17/02 2006.01
GPHYSICS
05CONTROLLING; REGULATING
BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
17Systems involving the use of models or simulators of said systems
02electric
G05B 23/02 2006.01
GPHYSICS
05CONTROLLING; REGULATING
BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
23Testing or monitoring of control systems or parts thereof
02Electric testing or monitoring
G11B 20/00 2006.01
GPHYSICS
11INFORMATION STORAGE
BINFORMATION STORAGE BASED ON RELATIVE MOVEMENT BETWEEN RECORD CARRIER AND TRANSDUCER
20Signal processing not specific to the method of recording or reproducing; Circuits therefor
CPC
G05B 13/042
GPHYSICS
05CONTROLLING; REGULATING
BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
13Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
02electric
04involving the use of models or simulators
042in which a parameter or coefficient is automatically adjusted to optimise the performance
G05B 17/02
GPHYSICS
05CONTROLLING; REGULATING
BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
17Systems involving the use of models or simulators of said systems
02electric
G11B 20/00
GPHYSICS
11INFORMATION STORAGE
BINFORMATION STORAGE BASED ON RELATIVE MOVEMENT BETWEEN RECORD CARRIER AND TRANSDUCER
20Signal processing not specific to the method of recording or reproducing; Circuits therefor
Applicants
  • VOYAN TECHNOLOGY [US/US]; Suite 103 3255-2 Scott Boulevard Santa Clara, CA 95054, US
Inventors
  • SHAH, Sunil, C.; US
Agents
  • MILLIKEN, Darren, J. ; Blakely, Sokoloff, Taylor & Zafman LLP 7th floor 12400 Wilshire Boulevard Los Angeles, CA 90025, US
Priority Data
09/345,16630.06.1999US
60/115,16508.01.1999US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) ADAPTATION TO UNMEASURED VARIABLES
(FR) ADAPTATION A DES VARIABLES NON MESUREES
Abstract
(EN)
A control design as shown (figure 3C) having a set of linearized differential equations which are computed based on data from identification (340 of figure 3A). At step (351), a high order model is developed, at step (355), model reduction is performed by computing an approximate model of the higher order model, of step (351), with a fewer number of states than the high order model which may provide an estimate of errors due to the approximation. At step (356), estimator controller or controller synthesis may be performed including computing an estimator and/or controller that optimizes certain properties such as norm of the closed loop system. At step (357), the high order model is evaluated by computing multivariable frequency responses, step responses, responses to stochastic noise processes, eigenvalues, and/or measures of robustness for the closed loop system consisting of the high order model and the synthesized estimator controller or controller.
(FR)
Cette invention concerne un modèle de processus (figure 3C) comportant un ensemble d'équations différentielles linéaires, résolues à partir des données fournies par 'l'identification' (340-figure 3A). Au niveau de l'opération (351), on met au point un modèle d'ordre supérieur. Au niveau de l'opération (355), on effectue une réduction de modèle en calculant un modèle approché du modèle d'ordre supérieur provenant de l'opération (351), comportant moins d'états que le système d'ordre supérieur, susceptible de fournir une estimation des erreurs liées à l'approximation. Au niveau de l'opération (356), on effectue une synthèse du contrôleur d'estimateur ou du contrôleur, comprenant le calcul d'un estimateur et/ou d'un contrôleur qui optimise certaines propriétés, en normant le système en boucle fermée par exemple. Au niveau de l'opération (357), on calcule le modèle d'ordre supérieur en calculant les réponses en fréquence multivariables, les réponses d'opération, les réponses aux processus à bruit stochastique, les valeurs propres, et/ou les mesures de cohérence relatives au système en boucle fermée, comprenant le modèle d'ordre supérieur et le contrôleur d'estimateur ou contrôleur de synthèse.
Also published as
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