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Robert M. Edwards
Researcher at Loughborough University
Publications - 180
Citations - 2310
Robert M. Edwards is an academic researcher from Loughborough University. The author has contributed to research in topics: Control system & Antenna (radio). The author has an hindex of 24, co-authored 179 publications receiving 2139 citations. Previous affiliations of Robert M. Edwards include Argonne National Laboratory & Pennsylvania State University.
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State Feedback Assisted Classical Control: An Incremental Approach to Control Modernization of Existing and Future Nuclear Reactors and Power Plants
TL;DR: The concept incorporates a classical output feedback control system as an easily understood inner control loop and casts modern state feedback in the role of a demand signal augmentation to achieve the goals of an optimal control design.
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Performance evaluation of routing protocols in vehicular ad-hoc networks
TL;DR: A reactive location routing algorithm that uses cluster-based flooding for Vehicular Ad-hoc Networks (VANET) and Dynamic Source Routing (DSR) in terms of average Route Discovery (RD) time, End-to-End Delay (EED), Routing Load, Routing Overhead, overhead, and Delivery Ratio is presented.
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Improved nuclear reactor temperature control using diagonal recurrent neural networks
TL;DR: A novel approach to wide-range optimal reactor temperature control using diagonal recurrent neural networks (DRNNs) with an adaptive learning rate scheme is presented, which converges faster than FNN when used to improve reactor temperature performance.
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LQG/LTR robust control of nuclear reactors with improved temperature performance
TL;DR: In this article, a robust controller using the linear quadratic Gaussian with loop transfer recovery (LQG/LTR) for nuclear reactors with the objective of maintaining a desirable performance for reactor fuel temperature and the temperature of the coolant leaving the reactor for a wide range of reactor powers is presented.
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An automatic tuning method of a fuzzy logic controller for nuclear reactors
TL;DR: The design and evaluation by simulation of an automatically tuned fuzzy logic controller using a simplified Kalman filter approach showed good stability and performance robustness characteristics for a wide range of operation.