The assumption of task independence has long been consubstantial with the formulation of many schedulability analysis techniques. That assumption is evidently advantageous for the...
The Markov chain approximation method is an effective and widely used approach for computing optimal values and controls for stochastic systems. It was extended to nonlinear (and p...
We envision a future where each person will carry with them a personal universal controller (PUC), a portable computerized device that allows the user to control any appliance wit...
Jeffrey Nichols, Brad A. Myers, Michael Higgins, J...
Abstract— We present an adaptive control approach combining forward kinematics model learning methods with the operational space control approach. This combination endows the rob...
Distributed real-time embedded systems have stringent requirements for key performance properties, such as endto-end timeliness and reliability, in order to operate properly. In r...