State estimation using a network of distributed observers with switching communication topology
نویسندگان
چکیده
State estimation of linear time-invariant (LTI) systems by using a network distributed observers is studied in this paper. We assume that each observer has access to local measurement which may be insufficient provide the observability system, but ensemble all measurements guarantees observability. In condition, objective design state approach such that, while can exchange their estimated vectors under communication network, vector converges system. consider scenario when links fail and rebuild over time does not stay connected constantly. Accordingly, main contribution paper propose (with on feasibility design) system if union/joint bounded intervals makes graph connected. Moreover, we also LTI subject external disturbances noise. case, derive sufficient conditions proposed topology stays during failure, desired ?? performance attenuate effect noise errors guaranteed. Simulation results show effectiveness approach.
منابع مشابه
Event-Based State Estimation with Switching Static-Gain Observers
An event-based state estimation problem is considered where the state of a dynamic system is observed from multiple distributed sensors that sporadically transmit their measurements to a remote estimator over a common bus. The common bus allows each sensor to run a copy of the remote estimator and to make the triggering decision based on this estimate: a measurement is transmitted only if its p...
متن کاملDistributed Maximum Likelihood Estimation with Time-Varying Network Topology
We consider a sensor network in which each sensor may take at every time iteration a noisy linear measurement of some unknown parameter. In this context, we study a distributed consensus diffusion scheme that relies only on bidirectional communication among neighbor nodes (nodes that can communicate and exchange data), and allows every node to compute an estimate of the unknown parameter that a...
متن کاملassessment of the efficiency of s.p.g.c refineries using network dea
data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...
Distributed Full-State Observers With Limited Communication and Application to Cooperative Target Localization
We present a fully decentralized motion control algorithm for the coordination of platoons of mobile agents with highly restricted communication capabilities. In order to address very low bandwidth communication between agents and time varying communication network topologies, we utilize a distributed full-state observer onboard each agent. Agent motion and data fusion algorithms are implemente...
متن کاملState Estimation of Multiple Plants over a Shared Communication Network
This paper considers state estimation for multiple plants over a shared communication network. Each linear time-invariant plant transmits information through the common network according to either a timetriggered or an event-triggered rule. For an event-triggered algorithm with CSMA (carrier sense multiple access), each plant is assumed to access the network based on a priority mechanism. For a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Automatica
سال: 2023
ISSN: ['1873-2836', '0005-1098']
DOI: https://doi.org/10.1016/j.automatica.2022.110690