\(\mathcal{H}_\infty\) network optimization for edge consensus
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Publication:2068543
DOI10.1016/j.ejcon.2021.06.032zbMath1480.93381arXiv2107.02595OpenAlexW3181351963MaRDI QIDQ2068543
Mathias Hudoba de Badyn, Omar Farhat, Dany Abou Jaoude
Publication date: 19 January 2022
Published in: European Journal of Control (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2107.02595
semidefinite programmingweighted graphsnetwork systems\(\mathcal{H}_\infty\)-norm minimizationedge consensustime-scaled agents
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Cites Work
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- Solving semidefinite-quadratic-linear programs using SDPT3
- Distributed \(H_\infty\)-consensus filtering in sensor networks with multiple missing measurements: the finite-horizon case
- Distributed robust \(H_\infty \) consensus control in directed networks of agents with time-delay
- Model reduction of distributed nonstationary LPV systems
- Balanced truncation model reduction of nonstationary systems interconnected over arbitrary graphs
- \(\mathcal{H}_\infty\) network optimization for edge consensus
- Coprime Factors Model Reduction of Spatially Distributed LTV Systems Over Arbitrary Graphs
- Estimation From Relative Measurements: Electrical Analogy and Large Graphs
- Paths in graphs
- On the Control and Estimation Over Relative Sensing Networks
- Performance and Design of Consensus on Matrix-Weighted and Time-Scaled Graphs
- Controllability of Multi-Agent Systems from a Graph-Theoretic Perspective
- Time-Scale Separation in Networks: State-Dependent Graphs and Consensus Tracking
- Coprime factors reduction of distributed nonstationary LPV systems
- Edge Agreement: Graph-Theoretic Performance Bounds and Passivity Analysis
- Coherence in Large-Scale Networks: Dimension-Dependent Limitations of Local Feedback
- Semi-Autonomous Consensus: Network Measures and Adaptive Trees
- Consensus and Coherence in Fractal Networks
- ${\mathcal {H}_2}$ Performance of Series-Parallel Networks: A Compositional Perspective
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