Recent developments in the area of reinforcement learning have yielded a number of new algorithms for the prediction and control of Markovian environments. These algorithms,includ...
Tommi Jaakkola, Michael I. Jordan, Satinder P. Sin...
The resource management in distributed real-time systems becomes increasingly unpredictable with the proliferation of data-driven applications. Therefore, it is inefficient to all...
Tian He, John A. Stankovic, Michael Marley, Chenya...
A dynamically reconfigurable real-time software (DRRTS) paradigm can be used effectively in the design of embedded systems to provide many major advantages over conventional softw...
— The present paper introduces an evaluation of the manipulation performance of a robotic arm with respect to control accuracy and mechanical efficiency, taking into considerati...
Abstract— We introduce a dynamic battery model that describes the variations of the capacity of a battery under time varying discharge current. This model is input-output equival...