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System identification and adaptive control design.
This significantly decreases the system identification and analysis overhead when optimizing an experiment.
Analytic modeling, system identification, and robust controller design are presented.
Ozhan Turgut System identification and control of vertical instabilities in advance particle accelerators.
In addition, guidelines on system identification and the controller and actuator setups are suggested.
A procedure is tested on linear and nonlinear systems for system identification and multivariable autotuning.
The substructuring methods have been popularly used in model updating, system identification and damage assessment.
The results are also of significance for system identification and diagnostics.
The proposed method is subsequently verified in nonlinear system identification and chaotic time-series prediction.
Continuous Process Models are widely used in system identification and fault detection.
This paper deals with system identification and gain scheduling control of multi-variable nonlinear systems.
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