Patrick Gorzelic

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OBJECTIVE To explore the use of classical feedback control methods to achieve an improved deep brain stimulation (DBS) algorithm for application to Parkinson's disease (PD). APPROACH A computational model of PD dynamics was employed to develop model-based rational feedback controller design. The restoration of thalamocortical relay capabilities to(More)
This paper presents a control approach for turbocharged spark ignition engines that coordinates the throttle and wastegate air path actuators in order to improve driveability without significant compromise in efficiency. The coordinated controller is based on a two-input single-output (TISO) architecture which can be tuned through classical frequency(More)
This paper takes a first step towards model-based feedback control for the transition between spark ignition (SI) and homogeneous charge compression ignition (HCCI) combustion modes by approaching the transfer out of SI operation during the SI into HCCI transition in a closed-loop control framework. The combustion mode switch is taken to be directly from SI(More)
As our knowledge of Parkinson’s disease increases, we are developing sophisticated computational models of the neuronal networks that go awry in this condition. Such models can form a test bed for the rational design of control strategies to reduce the pathological dynamics. Although deep brain stimulation is becoming increasingly popular for treating(More)
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