Results 41 to 50 of about 2,593 (166)
Sparse Wide-Area Control of Power Systems using Data-driven Reinforcement Learning
, 2018 In this paper we present an online wide-area oscillation damping control (WAC) design for uncertain models of power systems using ideas from reinforcement learning.
Chakrabortty, Aranya +2 more
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Adaptive Resource Management Framework for Profit Optimisation in 5G Network Slicing
IET Networks, Volume 14, Issue 1, January/December 2025.This paper proposes a novel optimisation framework for dynamic resource management in 5G network slicing, integrating integer linear programming (ILP) and heuristic models to prioritise high‐revenue slices while minimising reconfiguration costs. Simulations show a 24.8% increase in resource utilisation and a 98.99% boost in profitability compared to a ...
Simon Atuah Asakipaam +5 more
wiley +1 more source
Identification and stochastic control of helicopter dynamic modes [PDF]
A general treatment of parameter identification and stochastic control for use on helicopter dynamic systems is presented. Rotor dynamic models, including specific applications to rotor blade flapping and the helicopter ground resonance problem are ...
Bar-Shalom, Y., Molusis, J. A.
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IET Radar, Sonar &Navigation, Volume 19, Issue 1, January/December 2025.To ensure the safety and reliability of multi‐agent autonomous driving systems, this paper proposes a robust constrained cooperative multi‐agent reinforcement learning (R‐CCMARL) algorithm for self‐driving vehicles, enabling robust driving policy to handle strong and unpredictable adversarial attacks.
Chuyao Wang, Ziwei Wang, Nabil Aouf
wiley +1 more source
, 2011 We revisit classic algorithmic search and optimization problems from the perspective of competition. Rather than a single optimizer minimizing expected cost, we consider a zero-sum game in which an optimization problem is presented to two players, whose ...
Immorlica, Nicole +5 more
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Guest Editorial: Knowledge‐Based Control and Optimization for Smart Energy Systems
IET Control Theory &Applications, Volume 19, Issue 1, January/December 2025.
Fang Fang +3 more
wiley +1 more source
Evolution in fluctuating environments: A generic modular approach. [PDF]
Evolution, 2022 Steinmetz B, Meyer I, Shnerb NM.
europepmc +1 more source
How the storage effect and the number of temporal niches affect biodiversity in stochastic and seasonal environments. [PDF]
PLoS Comput Biol, 2022 Meyer I, Steinmetz B, Shnerb NM.
europepmc +1 more source
On Spatial Point Processes with Uniform Births and Deaths by Random Connection
, 2014 This paper is focused on a class of spatial birth and death process of the Euclidean space where the birth rate is constant and the death rate of a given point is the shot noise created at its location by the other points of the current configuration for
Baccelli, Francois +2 more
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Deep Learning: Our Miraculous Year 1990-1991
, 2020 In 2020, we will celebrate that many of the basic ideas behind the deep learning revolution were published three decades ago within fewer than 12 months in our "Annus Mirabilis" or "Miraculous Year" 1990-1991 at TU Munich.
Schmidhuber, Juergen
core