Abstract. In this paper we present a Reinforcement Learning (RL) approach with the capability to train neural adaptive controllers for complex control problems without expensive on...
—Creating latency insensitive or asynchronous designs from clocked designs has potential benefits of increased modularity and robustness to variations. Several transformations h...
— This paper deals with real-time control under computational constraints. A robust control approach to control/real-time scheduling co-design is proposed using the H∞ framewor...
— We consider a decentralized bidirectional control of a platoon of N identical vehicles moving in a straight line. Such problems are known to suffer from poor stability margin a...
In this paper a novel approach for broadband feedback active noise control (ANC) is presented which is based on the combination of classical non-adaptive feedback and adaptive fee...