This paper proposes a framework for modeling and controlling systems described by interdependent physical laws, logic rules, and operating constraints, denoted as mixed logical dy...
This paper adresses the variance quantification problem for system identification based on the prediction error framework. The role of input and model class selection for the auto-...
The present paper shows how vertical actuation alone may be used to effectively control the spatial distribution of mobile vehicles ("balloons" in air, or "drifters&...
Mapping a set of feedback control components to executable code introduces errors due to a variety of factors such as discretization, computational delays, and scheduling policies...
Hakan Yazarel, Antoine Girard, George J. Pappas, R...
—A promising method of automating management tasks in computing systems is to formulate them as control or optimization problems in terms of performance metrics. For an online op...