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Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
Published on: July 16, 2014
Ramzi Salim1, Abdellah Mansouri1, Azeddine Bendiabdellah2
1Laboratoire d'Automatique et Analysis des Systems (L.A.A.S), Department of Electrical Engineering, Ecole Nationale Polytechnique-Maurice Audin-Oran. BP 1523 El' M'naouer, Oran, Algeria.
This study introduces a cost-effective, high-performance control strategy for sensorless induction motors (IM) using passivity-based control and an adaptive observer. The method enhances reliability by managing energy and minimizing instability in regenerative modes.
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