Core Concepts
Proposing a novel event-triggered scheme based on confidence level for state estimation in discrete-time linear systems.
Abstract
The paper introduces a novel event-triggered scheme based on confidence level for state estimation in discrete-time linear systems. It discusses the importance of reducing communication costs in wireless sensor networks and presents algorithms for estimating communication rates. The proposed Minimum Mean Squared Error (MMSE) state estimator is illustrated using a target tracking scenario.
Structure:
Introduction to Event-Triggered State Estimation
Proposed Event-Triggered Scheme Based on Confidence Level
MMSE State Estimation Algorithm
Communication Rate Estimation Algorithms
Simulation Example: Performance Evaluation
Stats
"Two algorithms for communication rate estimation of the proposed MMSE state estimator are developed."
"The simulation results show that the second algorithm yields a better communication rate estimation."
"For the tolerable upper bound N, we take three different parameter values given by three cases."