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Found 5 papers, 1 papers with code
Structured Deep Neural Network-Based Backstepping Trajectory Tracking Control for Lagrangian Systems
In addition, improved control performance can be achieved by further optimizing neural network parameters.
Towards Efficient Dynamic Uplink Scheduling over Multiple Unknown Channels
To alleviate the challenge, we reformulate the problem as a variant of the restless multi-armed bandit (RMAB) problem and leverage Whittle's index theory to design an index-based scheduling policy algorithm.
Network Learning in Quadratic Games from Fictitious Plays
Next, in view of the inherent stability and sparsity constraints for the network interaction structure, we propose a stable and sparse system identification framework for learning the interaction graph from full player action observations.
Low-complexity Distributed Detection with One-bit Memory Under Neyman-Pearson Criterion
We consider a multi-stage distributed detection scenario, where $n$ sensors and a fusion center (FC) are deployed to accomplish a binary hypothesis test.
How to Secure Distributed Filters Under Sensor Attacks
The resilience of the secured filter with detection is verified by an explicit relationship between the upper bound of the estimation error and the number of detected attacked sensors.
