Plug‐and‐play distributed model predictive control with coupling attenuation
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Publication:5254101
DOI10.1002/oca.2142zbMath1312.93011OpenAlexW2099077644MaRDI QIDQ5254101
Stefano Riverso, Ferrari-Trecate, Giancarlo
Publication date: 8 June 2015
Published in: Optimal Control Applications and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/oca.2142
decentralized controlrobust controldistributed controlmodel predictive controldecentralized designplug-and-play (PbP) control
Sensitivity (robustness) (93B35) Discrete-time control/observation systems (93C55) Decentralized systems (93A14)
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Uses Software
Cites Work
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- A short overview of control in European R\&D programmes (1983--2013): from local loop designs, through networked and coordinated control, to stochastic, large scale and real time optimization systems
- Distributed predictive control: A non-cooperative algorithm with neighbor-to-neighbor communication for linear systems
- Plug-and-play model predictive control based on robust control invariant sets
- Tube-based distributed control of linear constrained systems
- Cooperative distributed model predictive control
- Theory and computation of disturbance invariant sets for discrete-time linear systems
- Robust model predictive control of constrained linear systems with bounded disturbances
- Cooperative distributed MPC for tracking
- An ISS small gain theorem for general networks
- Invariant approximations of the minimal robust positively Invariant set
- Plug-and-Play Decentralized Model Predictive Control for Linear Systems
- Decentralized MPC of nonlinear systems: An input‐to‐state stability approach
- Systems with persistent disturbances: Predictive control with restricted constraints
