1 citations · 2 across the 16 of their papers we have counts for
5 papers · 1 filter
Robust Data-Driven Kalman Filtering for Unknown Linear Systems using Maximum Likelihood Optimization
Peihu Duan, Tao Liu, Yu Xing +1
This paper investigates the state estimation problem for unknown linear systems subject to both process and measurement noise. Based on a prior input-output trajectory sampled at a…
A Framework on Fully Distributed State Estimation and Cooperative Stabilization of LTI Plants
Peihu Duan, Yuezu Lv, Guanghui Wen +1
How to realize high-level autonomy of individuals is one of key technical issues to promote swarm intelligence of multi-agent (node) systems with collective tasks, while the fully…
On the Effects and Optimal Design of Redundant Sensors in Collaborative State Estimation
Yunxiao Ren, Zhisheng Duan, Peihu Duan +1
The existence of redundant sensors in collaborative state estimation is a common occurrence, yet their true significance remains elusive. This paper comprehensively investigates th…
Cooperative Control of Multi-Channel Linear Systems with Self-Organizing Private Agents
Peihu Duan, Tao Liu, Yuezu Lv +1
Cooperative behavior design for multi-agent systems with collective tasks is a critical issue in promoting swarm intelligence. This paper investigates cooperative control for a mul…
Observation of Periodic Systems: Bridge Centralized Kalman Filtering and Consensus-Based Distributed Filtering
Jiachen Qian, Zhisheng Duan, Peihu Duan +1
Compared with linear time invariant systems, linear periodic system can describe the periodic processes arising from nature and engineering more precisely. However, the time-varyin…