With fires becoming increasingly frequent and severe across the globe in recent years, understanding climate change’s role in fire behavior is critical for quantifying current and future fire risk. However,
PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control. (arXiv:2011.12354v1 [eess.SY])
This paper develops an efficient multi-agent deep reinforcement learning algorithm for cooperative controls in powergrids. Specifically, we consider the decentralized inverter-based secondary voltage control problem in distributed generators (DGs), which
A reinforcement learning control approach for underwater manipulation under position and torque constraints. (arXiv:2011.12360v1 [cs.RO])
In marine operations underwater manipulators play a primordial role. However, due to uncertainties in the dynamic model and disturbances caused by the environment, low-level control methods require great capabilities to
Localism as Secrecy: Efficiency-Secrecy Tradeoffs in the Recruitment of ISIS Foreign Fighters. (arXiv:2011.12290v1 [cs.SI])
This paper compares networks of foreign fighters who joined the Islamic State of Iraq and Syria (ISIS) from Europe and the Arabian Peninsula in order to test whether there are
Quantum phases of Rydberg atoms on a kagome lattice. (arXiv:2011.12295v1 [cond-mat.quant-gas])
We analyze the zero-temperature phases of an array of neutral atoms on the kagome lattice, interacting via laser excitation to atomic Rydberg states. Density-matrix renormalization group calculations reveal the presence
Prediction of Toric Code Topological Order from Rydberg Blockade. (arXiv:2011.12310v1 [cond-mat.str-el])
The physical realization of $\mathbb Z_2$ topological order as encountered in the paradigmatic toric code has proven to be an elusive goal. We show that this phase of matter can
A New Approach of Data Pre-processing for Data Compression in Smart Grids. (arXiv:2011.12361v1 [eess.SP])
The conventional approach to pre-process data for compression is to apply transforms such as the Fourier, the Karhunen-Lo\`{e}ve, or wavelet transforms. One drawback from adopting such an approach is that
A Fixed-Time Stable Adaptation Law for Safety-Critical Control under Parametric Uncertainty. (arXiv:2011.12362v1 [math.OC])
We present a novel technique for solving the problem of safe control for a general class of nonlinear, control-affine systems subject to parametric model uncertainty. Invoking Lyapunov analysis and the
Online Detection of Low-Quality Synchrophasor Data Considering Frequency Similarity. (arXiv:2011.12365v1 [eess.SY])
This letter proposes a new approach for online detection of low-quality synchrophasor data under both normal and event conditions. The proposed approach utilizes the features of synchrophasor data in time
Aerodynamic characterization of low-aspect-ratio swept wings at $Re=400$. (arXiv:2011.12336v1 [physics.flu-dyn])
We perform unsteady three-dimensional direct numerical simulations to study the aerodynamic characteristics of finite-aspect-ratio swept wings with a NACA 0015 cross-section at a chord-based Reynolds number of 400. The effects
