Education, Licensure and Certification (3)
Ph.D.: Marquette University 2009
M.S.: Electrical and Computer Engineering, Marquette University 2006
B.S.: Electrical Engineering, Milwaukee School of Engineering 2004
Biography
Dr. Michael Wenzel is an adjunct assistant professor in the Electrical, Computer and Biomedical Engineering Department at MSOE. His areas of specialization include system modeling, chemical sensors and electronic noses (MEMS), control theory, estimation theory, signal processing, and pattern recognition.
Areas of Expertise (3)
Electrical Engineering
Control Theory
Sensor Systems
Accomplishments (1)
GAANN Fellow (professional)
Marquette University
Patents (1)
System identification and model development
US9235657B1
Methods for system identification are presented using model predictive control to frame a gray-box parameterized state space model. System parameters are identified using an optimization procedure to minimize a first error cost function within a range of filtered training data. Disturbances are accounted for using an implicit integrator within the system model, as well as a parameterized Kalman gain.
Selected Publications (1)
System Identification for Model Predictive Control of Building Region Temperature
International High Performance Buildings Conference2016 Model predictive control (MPC) is a promising technology for energy cost optimization of buildings because it provides a natural framework for optimally controlling such systems by computing control actions that minimize the energy cost while meeting constraints. In our previous work, we developed a cascaded MPC framework capable of minimizing the energy cost of building zone temperature control applications.
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