The art of performance tuning is, alas, still an art; there are few tools to help predict the effects of changes that are motivated by performance needs. In this work, we present ...
A method for the development of empirical predictive models for complex processes is presented. The models are capable of performing accurate multi-step-ahead (MS) predictions, wh...
We prove a quantitative connection between the expected sum of rewards of a policy and binary classification performance on created subproblems. This connection holds without any ...
Predictive p-persistent CSMA protocol is an important MAC solution developed for networked sensor/control applications and used in Local Operating Networks (LonWorks) technology. T...
Abstract— This paper presents a generalized Model Predictive Direct Torque Control scheme with an extended horizon, which is composed of multiple hinges (groups of switch transit...