Distributed State Estimation for Linear Time-invariant Systems with Aperiodic Sampled Measurement

2022/11/09 by Shimin Wang, Wang, Shimin, Pan, Ya-Jun +1
Engineering · Computer Science · #Stability and Control of Uncertain Systems #Stability and Controllability of Differential Equations #Target Tracking and Data Fusion in Sensor Networks

paper · pdf · doi:10.48550/arxiv.2211.05223

Abstract

This paper deals with the state estimation of linear time-invariant systems using distributed observers with local sampled-data measurement and aperiodic communication. Each observer agent perceives partial information of the system to be observed but does not satisfy the observability condition. Consequently, distributed observers are designed to exponentially estimate the state of the system to be observed by time-varying sampling and asynchronous communication. Additionally, explicit upper bounds on allowable sampling periods for convergent estimation errors are given. Finally, a numerical example is provided to demonstrate the validity of the theoretical results

Related

• Distributed Observers for LTI Systems with Finite Convergence Time: A Parameter Estimation-based Approach
• A Distributed Observer for a Discrete-Time Linear System
• State Estimation Using a Network of Distributed Observers With Unknown Inputs
• Distributed Time- and Event-Triggered Observers for Linear Systems: Non-Pathological Sampling and Inter-Event Dynamics
• Fixed-Time Convergent Distributed Observer Design of Linear Systems: A Kernel-Based Approach