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Found 12 papers, 1 papers with code
Small-Signal Dynamics of Lossy Inverter-Based Microgrids for Generalized Droop Controls
Simulated transient responses of a modified IEEE 9-bus system are presented to validate the theoretical findings which show the effectiveness of generalized droop controls in independently shaping the settling times of the angle and voltage responses of the lossy microgrid system.
MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning
In this paper, we propose an enhanced Membership Inference Attack with the Batch-wise generated Attack Dataset (MIA-BAD), a modification to the MIA approach.
Using Demand Response to Improve Power System Small-Signal Stability
Our results show that shifting the load between buses, can improve a small-signal stability margin.
Seven open problems in applied combinatorics
We present and discuss seven different open problems in applied combinatorics.
Graph-Theoretic Analyses and Model Reduction for an Open Jackson Queueing Network
A graph-theoretic analysis of the steady-state behavior of an open Jackson queueing network is developed.
Propagation Stability Concepts for Network Synchronization Processes
A notion of disturbance propagation stability is defined for dynamical network processes, in terms of decrescence of an input-output energy metric along cutsets away from the disturbance source.
On the Spatial Pattern of Input-Output Metrics for a Network Synchronization Process
A graph-theoretic analysis is undertaken for a compendium of input-output (transfer) metrics of a standard discrete-time linear synchronization model, including lp gains, frequency responses, frequency-band energy, and Markov parameters.
Compressive Representations of Weather Scenes for Strategic Air Traffic Flow Management
Terse representation of high-dimensional weather scene data is explored, in support of strategic air traffic flow management objectives.
Distinguishing Aerial Intruders from Trajectory Data: A Model-Based Hypothesis-Testing Approach
The maximum a posteriori probability detector is obtained, and then is simplified to an explicit computation based on two points in the sample autocorrelation of the data.
Compressibility of Network Opinion and Spread States in the Laplacian-Eigenvector Basis
In this study, we explore whether snapshot data from these processes can admit terse representations.
Observability-Blocking Control using Sparser and Regional Feedback for Network Synchronization Processes
Next, the topological structure of the network is exploited to reduce the number of controllers required for blocking observability; the result is based on blocking observability on the nodes associated with a vertex-cutset separating the actuation and measurement locations.
A Note on Surgical Eigenstructure Assignment via State Feedback
Assignability of all eigenvalues and a subset of key eigenvectors/generalized eigenvectors of a linear time-invariant system via state feedback is considered.
