학술논문

Distributed square-root cubature Kalman filter for underwater cyber-physical systems with multiple fading measurements
Document Type
Conference
Source
2021 International Conference on Cyber-Physical Social Intelligence (ICCSI) Cyber-Physical Social Intelligence (ICCSI), 2021 International Conference on. :1-5 Dec, 2021
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Fading channels
Costs
Simulation
Information processing
Cyber-physical systems
Filtering algorithms
Social intelligence
diffusion strategy
nonlinear filtering
event-triggered mechanism
fading measurements
Language
Abstract
In this article, we focus on the problem of the distributed nonlinear state estimation for a class of underwater cyber-physical systems with fading measurements. In this article, we propose a modified square-root cubature Kalman filter to tackle with the nonlinear system model. And the diffusion strategy is introduced in this paper to improve the system's estimation performance. To ease the internode communication cost, we propose an event-triggered mechanism to avoid the unnecessary information transmission. The corresponding esti-mation algorithm is also derived in this article. The simulation results show that the proposed algorithm can estimate the target's state accurately with less communication resources.