5 citations · 6 across the 7 of their papers we have counts for
9 papers
Quantized Distributed Estimation with Event-triggered Communication and Packet Loss
Ying Wang, Yanlong Zhao, Ji-Feng Zhang +1
This paper focuses on the problem of quantized distributed estimation with event-triggered communication and packet loss, aiming to reduce the number of transmitted bits. The main…
Recursive Binary Identification under Data Tampering and Non-Persistent Excitation with Application to Emission Control
Jian Guo, Lihong Pei, Wenchao Xue +2
This paper studies the problem of online parameter estimation for cyber-physical systems with binary outputs that may be subject to adversarial data tampering. Existing methods are…
One-bit consensus of controllable linear multi-agent systems with communication noises
Ru An, Ying Wang, Yanlong Zhao +1
This paper addresses the one-bit consensus of controllable linear multi-agent systems (MASs) with communication noises. A consensus algorithm consisting of a communication protocol…
Distributed Estimation with Quantized Measurements and Communication over Markovian Switching Topologies
Ying Wang, Jian Guo, Yanlong Zhao +1
This paper addresses distributed parameter estimation in stochastic dynamic systems with quantized measurements, constrained by quantized communication and Markovian switching dire…
Signal-Comparison-Based Distributed Estimation Under Decaying Average Data Rate Communications
Jieming Ke, Xiaodong Lu, Yanlong Zhao +1
The paper investigates the distributed estimation problem under low bit rate communications. Based on the signal-comparison (SC) consensus protocol under binary-valued communicatio…
Consensus-Based Distributed Nonlinear Filtering with Kernel Mean Embedding
Liping Guo, Jimin Wang, Yanlong Zhao +1
This paper proposes a consensus-based distributed nonlinear filter with kernel mean embedding (KME). This fills with gap of posterior density approximation with KME for distributed…
Differentially Private Distributed Stochastic Optimization with Time-Varying Sample Sizes
Jimin Wang, Ji-Feng Zhang
Differentially private distributed stochastic optimization has become a hot topic due to the urgent need of privacy protection in distributed stochastic optimization. In this paper…
Asymptotically Efficient Quasi-Newton Type Identification with Quantized Observations Under Bounded Persistent Excitations
Ying Wang, Yanlong Zhao, Ji-Feng Zhang
This paper is concerned with the optimal identification problem of dynamical systems in which only quantized output observations are available under the assumption of fixed thresho…
Differentially Private Bipartite Consensus over Signed Networks with Time-Varying Noises
Jimin Wang, Jieming Ke, Ji-Feng Zhang
This paper investigates the differentially private bipartite consensus algorithm over signed networks. The proposed algorithm protects each agent's sensitive information by adding…