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Many online inference problems in computer vision and robotics are characterized by probability distributions whose factor graph representations are sparse and whose factors are all Gaussian functions of error residuals. Under these conditions, maximum likelihood estimation corresponds to solving a sequence of sparse least-squares minimization problems in which additional summands are added to the...
In this paper, Voltage Source Inverters (VSI) are considered to drive a single-phase electric machine as a motor for propulsion of Light Electric Vehicles (LEV). The proposed gain space tuning method in this study uses the Linear Quadratic Regulator (LQR) concept in which the desired sets of the Q matrix of the LQR are obtained based on the dominant closed-loop poles concept and in a reverse mathematical...
The electric motor drive system is one of the most important portions of an Electric Vehicle (EV) where the electric motor is supplied by a Voltage Source Inverter (VSI) as an option which is frequently used in single- and three-phase powertrain configurations. This paper illustrates a new method for VSI linear controller coefficient tuning that ensures tracking of the output voltage versus applied...
This paper investigates the performance of a dynamic heterogeneous particle swarm optimizer (dHPSO) on dynamic unconstrained optimization problems. The results are compared to that of charged and quantum particle swarms, specifically designed for optimization in dynamic environments. It is shown that dHPSO possesses the ability to manage the diversity of the swarm dynamically, allowing it to overcome...
A Mastery approach for learning Engineering Circuit Analysis at the University of Massachusetts Amherst (UMA) has been successfully implemented, with more than 200 students experiencing the approach. It has yet to be demonstrated if the Mastery Learning approach can be successfully implemented in a different field of study. At the University of North Carolina at Greensboro (UNCG), many students enter...
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