Robust hierarchical model predictive control of graph-based power flow systems

DOI10.1016/j.automatica.2018.06.042zbMath1406.93009OpenAlexW2846578524WikidataQ129546489 ScholiaQ129546489MaRDI QIDQ1716449

Justin P. Koeln, Andrew G. Alleyne

Publication date: 5 February 2019

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2018.06.042

zbMATH Keywords

graph theoryhierarchical controlrobust model predictive controllarge scale complex systems

Mathematics Subject Classification ID

Related Items (2)

Economic model predictive control for robust optimal operation of sparse storage networks ⋮ A distributed model predictive control with neighborhood state feedback invariant set for reconfigurable networked systems

Cites Work

• Unnamed Item
• Unnamed Item
• Distributed predictive control: A non-cooperative algorithm with neighbor-to-neighbor communication for linear systems
• Stable hierarchical model predictive control using an inner loop reference model and \(\lambda\)-contractive terminal constraint sets
• Feasible parallel-update distributed MPC for uncertain linear systems sharing convex constraints
• Tube-based distributed control of linear constrained systems
• Compartmental flow control: decentralization, robustness and optimality
• An MPC approach to the design of two-layer hierarchical control systems
• MPC for tracking piecewise constant references for constrained linear systems
• Robust model predictive control using tubes.
• Robust model predictive control of constrained linear systems with bounded disturbances
• Stability of decentralized model predictive control of graph-based power flow systems via passivity
• Distributed model predictive control of linear systems with persistent disturbances
• Hierarchical Model Predictive Control of Wiener Models

This page was built for publication: Robust hierarchical model predictive control of graph-based power flow systems