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Found 10 papers, 2 papers with code
A Sample-Based Algorithm for Approximately Testing $r$-Robustness of a Digraph
In this paper, we propose a sample-based algorithm to approximately test $r$-robustness of a digraph with $n$ vertices and $m$ edges.
On the Convergence of mSGD and AdaGrad for Stochastic Optimization
First, we prove that the iterates of mSGD are asymptotically convergent to a connected set of stationary points with probability one, which is more general than existing works on subsequence convergence or convergence of time averages.
Identification of Linear Systems with Multiplicative Noise from Multiple Trajectory Data
An algorithm based on the least-squares method and multiple-trajectory data is proposed for joint estimation of the nominal system matrices and the covariance matrix of the multiplicative noise.
Event-Triggered Distributed Estimation With Decaying Communication Rate
We show that given the step size, adjusting the decay speed of the triggering threshold can lead to a tradeoff between the convergence rate of the estimation error and the decay speed of the communication rate.
Community Structure Recovery and Interaction Probability Estimation for Gossip Opinion Dynamics
The considered problem is to jointly recover the community labels of the agents and estimate interaction probabilities between the agents, based on a single trajectory of the model.
Power Injection Attacks in Smart Distribution Grids with Photovoltaics
We study the worst-case attack strategy of a power injection attack against the physical layer of a smart distribution grid with a high penetration of photovoltaic resources.
Privacy Preserving Set-Based Estimation Using Partially Homomorphic Encryption
The set-based estimation has gained a lot of attention due to its ability to guarantee state enclosures for safety-critical systems.
Cryptography and Security Robotics
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.
Linear System Identification Under Multiplicative Noise from Multiple Trajectory Data
The study of multiplicative noise models has a long history in control theory but is re-emerging in the context of complex networked systems and systems with learning-based control.
Distributed Design of Robust Kalman Filters over Corrupted Channels
We study distributed filtering for a class of uncertain systems over corrupted communication channels.
