Abstract: Deep neural networks (DNNs) have been widely used for learning various wireless communication policies. While DNNs have demonstrated the ability to reduce the time complexity of inference, ...
Abstract: This article addresses a tracking performance control problem for steer-by-wire (SbW) systems with model uncertainty and time-varying nonlinearity (e.g., time-varying longitudinal dynamics ...
Stephen has degrees in science (Physics major) and arts (English Literature and the History and Philosophy of Science), as well as a Graduate Diploma in Science Communication. Stephen has degrees in ...
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