Emmanuel G. Collins

TL;DR: In this article, the authors present controller design and optimization methods to stably coordinate multiple inverter-interfaced DGs and to robustly control individual interface inverters against voltage and frequency disturbances.

TL;DR: In this paper, the problem of assigning a specified state covariance to a linear discrete-time system by state feedback is formulated as a multiple objective problem, where the objective is to characterize the entire set of state covariances which may be assigned to a system by the state feedback and find the set of all state feedback gains which will assign an admissible state covariances to the system.

TL;DR: The problem of the sizing of the Li-ion battery and UC, as well as the degree of hybridization between the UC power and battery power, is approached from a new perspective, i.e., by solving an optimization problem to minimize fuel consumption.

TL;DR: A robust automatic parallel parking algorithm for parking in tight spaces under both vehicle localization errors and parking space detection errors and a genetic fuzzy system which uses a genetic algorithm’s learning ability to determine efiective parameters for the developed fuzzy logic controllers is presented.

TL;DR: It is shown that the closed-loop system that results from inclusion of the dynamics of the [proportional--integral--derivative (PID)] speed controllers for each set of wheels does a much better job than the open-loop model of predicting the vehicle linear and angular velocities.