Plug‐and‐play distributed model predictive control with coupling attenuation

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

zbMATH Keywords

decentralized controlrobust controldistributed controlmodel predictive controldecentralized designplug-and-play (PbP) control

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Discrete-time control/observation systems (93C55) Decentralized systems (93A14)

Related Items

A modular framework for distributed model predictive control of nonlinear continuous-time systems (GRAMPC-D), Distributed model predictive control for continuous‐time nonlinear systems based on suboptimal ADMM, Plug-and-play state estimation and application to distributed output-feedback model predictive control, Plug and play robust distributed control with ellipsoidal parametric uncertainty system, Distributed model predictive control

Uses Software

• PnPMPC

Cites Work

• Unnamed Item
• 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