Clustering-based average state observer design for large-scale network systems
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Publication:6164024
DOI10.1016/j.automatica.2023.110914zbMath1520.93179arXiv2205.13633OpenAlexW4322109863MaRDI QIDQ6164024
Jacquelien M. A. Scherpen, Muhammad Umar B. Niazi, C. Canudas de Wit, Xiaodong Cheng
Publication date: 30 June 2023
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2205.13633
Cites Work
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- A direct design procedure for linear state functional observers
- Lumpability of linear evolution equations in Banach spaces
- Minimal single linear functional observers for linear systems
- Clustered model reduction of positive directed networks
- Lumpability and observability of linear systems
- Systems analysis by graphs and matroids. Structural solvability and controllability
- Some theorems on the inertia of general matrices
- Generic properties and control of linear structured systems: A survey
- Outlier detection and trimmed-average estimation in network systems
- Almost equitable partitions and new necessary conditions for network controllability
- A new criterion for H-stability of complex matrices
- A Note on Functional Observability
- Model Reduction and Clusterization of Large-Scale Bidirectional Networks
- A Note on Dynamic Stability
- Full-order observers for linear systems with unknown inputs
- Linear Matrix Inequalities in System and Control Theory
- Existence and design of functional observers for linear systems
- Average State Observers for Large-Scale Network Systems
- Reduction of Second-Order Network Systems With Structure Preservation
- Structural controllability
- Functional Observability and the Design of Minimum Order Linear Functional Observers
- Average State Estimation in Large-Scale Clustered Network Systems
- On the Existence and Design of Functional Observers
- Existence Conditions for Functional Observability From an Eigenspace Perspective
- Projection-Based Model Reduction of Multi-Agent Systems Using Graph Partitions
- Interacting with Networks: How Does Structure Relate to Controllability in Single-Leader, Consensus Networks?
- Approximation of Large-Scale Dynamical Systems
- Clustering-Based Model Reduction of Laplacian Dynamics With Weakly Connected Topology
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