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Found 21 papers, 0 papers with code
Secure Synchronization of Heterogeneous Pulse-Coupled Oscillators
Specifically, the normal oscillators can either detect the presence of malicious nodes or synchronize in both phases and frequencies.
Distributed Parameter Estimation with Gaussian Observation Noises in Time-varying Digraphs
In this paper, we consider the problem of distributed parameter estimation in sensor networks.
Resilient Distributed Parameter Estimation in Sensor Networks
In this paper, we study the problem of parameter estimation in a sensor network, where the measurements and updates of some sensors might be arbitrarily manipulated by adversaries.
Dynamic quantized consensus under DoS attacks: Towards a tight zooming-out factor
This paper deals with dynamic quantized consensus of dynamical agents in a general form under packet losses induced by Denial-of-Service (DoS) attacks.
Quantized Zero Dynamics Attacks against Sampled-data Control Systems
We look at two approaches for generating quantized attacks which can keep the error in the output smaller than a specified level by using the knowledge of the system dynamics.
Distributed Parameter Estimation under Gaussian Observation Noises
To this end, we first generalize the so-called dynamic regressor extension and mixing (DREM) algorithm to stochastic systems, with which the problem of estimating a $d$-dimensional vector parameter is transformed to that of $d$ scalar ones: one for each of the unknown parameters.
Cluster Forming of Multiagent Systems in Rolling Horizon Games with Non-uniform Horizons
Consensus and cluster forming of multiagent systems in the face of jamming attacks along with reactive recovery actions by a defender are discussed.
A Rolling Horizon Game Considering Network Effect in Cluster Forming for Dynamic Resilient Multiagent Systems
A two-player game-theoretic problem on resilient graphs in a multiagent consensus setting is formulated.
Two-Player Incomplete Games of Resilient Multiagent Systems
Evolution of agents' dynamics of multiagent systems under consensus protocol in the face of jamming attacks is discussed, where centralized parties are able to influence the control signals of the agents.
A State Feedback Controller for Mitigation of Continuous-Time Networked SIS Epidemics
The upshot of devising such a strategy is that it allows health administration officials to ensure that there is sufficient capacity in the healthcare system to treat the most severe cases.
Event-Based Control for Synchronization of Stochastic Linear Systems with Application to Distributed Estimation
We propose an event-based control protocol for achieving the synchronization among agents in the mean square sense and theoretically analyze the performance of it by using a stochastic Lyapunov function, where the stability of $c$-martingales is particularly developed to handle the challenges brought by the general model of noises and the event-triggering mechanism.
A Framework for Distributed Estimation with Reduced Communication via Event-Based Strategies
This paper considers the problem of distributed estimation in a sensor network, where multiple sensors are deployed to infer the state of a linear time-invariant (LTI) Gaussian system.
Cluster Synchronization of Kuramoto Oscillators and the Method of Averaging
Rigorous conditions for cluster synchronization of Kuramoto oscillators are presented.
Suppressing the endemic equilibrium in SIS epidemics: A state dependent approach
This paper considers the susceptible-infected-susceptible (SIS) epidemic model with an underlying network structure among subpopulations and focuses on the effect of social distancing to regulate the epidemic level.
Quantized State Feedback Stabilization of Nonlinear Systems under Denial-of-Service
This paper studies the resilient control of networked systems in the presence of cyber attacks.
Secure Consensus with Distributed Detection via Two-hop Communication
We propose two distributed schemes for detection of malicious nodes and resilient consensus with different requirements on resources for communication and the structures of the networks.
Resilient Consensus for Multi-Agent Systems under Adversarial Spreading Processes
Such a problem setting serves as a model of opinion dynamics in social networks where consensus is to be formed at the time of pandemic and infected individuals may deviate from their true opinions.
Resilient Self/Event-Triggered Consensus Based on Ternary Control
The paper considers the problem of multi-agent consensus in the presence of adversarial agents which may try to prevent and introduce undesired influence on the coordination among the regular agents.
Dynamic Quantized Consensus of General Linear Multi-agent Systems under Denial-of-Service Attacks
In this paper, we study multi-agent consensus problems under Denial-of-Service (DoS) attacks with data rate constraints.
Privacy-preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation
With the proliferation of training data, distributed machine learning (DML) is becoming more competent for large-scale learning tasks.
Generic Variance Bounds on Estimation and Prediction Errors in Time Series Analysis: An Entropy Perspective
In this paper, we obtain generic bounds on the variances of estimation and prediction errors in time series analysis via an information-theoretic approach.
