Tokyo Electron Limited

Voyan Technology

Dan Hernandez

Mark Alan Erickson

Cecilia Gabriela Galarza

Sunil C Shah

Thorkell Gudmundsson

Tom Pare

A method for automated system identification of a linear system is disclosed. A model structure is selected and one or more reference signal values are generated for input into the system. Input signal values and output signal values are retrieved from the system and system identification is performed on the model structure using the input signal values, the output signal values, and the one or more reference signal values. A point model, obtained as a result of the system identification, is then verified for accuracy.

Method for automated system identification

A system and method is given for minimizing periodic disturbances in electronic systems. Given the input-output characteristics of the system, the present method identifies and cancels the periodic disturbance. The periodic disturbance parameters are identified through the use of a residual generator. The output of the residual generator is fed into an identifier that estimates disturbance parameters. The compensation filter combines the output of the identifier with a set of pre-computed parameters to form a cancellation signal. This signal is then added to the input of the plant to cancel the periodic disturbance.

Efficient adaptive feedforward periodic disturbance compensation

A method and system for designing a compensator for a system is described. A structure of a model set and a compensator set is defined. The defined model set and compensator set is processed. Model set, compensator set, and model subsets are created from the processed model and compensator set. The created model set, compensator set, model subsets are evaluated.

Growing community of inventors

San Jose, CA, United States of America

Dan Hernandez