Distributed joint parameter and state estimation algorithm for large-scale interconnected systems
DOI10.1002/acs.3756zbMATH Open1545.93609WikidataQ129194685 ScholiaQ129194685MaRDI QIDQ6585583
Samira Kamoun, Mondher Chaoui, Mounira Hamdi, Abdenaceur Kachouri, Lhassane Idoumghar
Publication date: 12 August 2024
Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)
parameter estimationlarge-scale systemsstate estimationKalman filterjoint estimationdistributed estimation algorithm
Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Decentralized systems (93A14) Identification in stochastic control theory (93E12) Large-scale systems (93A15)
Cites Work
- Predictor methods for decentralized control of large-scale systems with input delays
- Model reference tracking control for spatially interconnected discrete-time systems with interconnected chains
- Hierarchical multi-innovation stochastic gradient identification algorithm for estimating a bilinear state-space model with moving average noise
- Recursive and iterative least squares parameter estimation algorithms for observability canonical state space systems
- Modeling and simulation of large-scale systems: a systematic comparison of modeling paradigms
- The filtering based maximum likelihood recursive least squares estimation for multiple-input single-output systems
- Dynamic state estimation for power networks using distributed MAP technique
- Optimal Estimation in UDP-Like Networked Control Systems With Intermittent Inputs: Stability Analysis and Suboptimal Filter Design
- Combined estimation of the parameters and states for a multivariable state‐space system in presence of colored noise
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