Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...
This paper presents a technique for dynamically reconfiguring search spaces in order to enable Bayesian autonomous search and tracking missions with moving targets. In particular, ...
Benjamin Lavis, Tomonari Furukawa, Hugh F. Durrant...
The iterative method labelled Correlation-based Tuning (CbT) is considered in this paper for tuning linear time-invariant multivariable controllers. The approach allows one to tun...
— This paper presents practical design of a smart antenna system based on direction-of-arrival estimation and adaptive beamforming. Direction-of-arrival (DOA) estimation is based...
Raed M. Shubair, Mahmoud Al-Qutayri, Jassim M. Sam...
Abstract—We present the estimation and evaluation of deployment models for sensor networks that exploit different amounts of a priori information. Topologies generated from the m...