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Dissipativity‐based distributed model predictive control with low rate communication

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Smart plant operations: Vision, progress and challenges
inferredcites →https://doi.org/10.1002/aic.11801openalex-snapshot
Distributed model predictive control of nonlinear process systems
inferredcites →https://doi.org/10.1002/aic.13868openalex-snapshot
Distributed model predictive control based on dissipativity
inferredcites →https://doi.org/10.1002/aic.14059openalex-snapshot
Interaction analysis and geometric interconnection decoupling for networks of process systems
inferredcites →https://doi.org/10.1007/978-0-8176-4607-3openalex-snapshot
Estimation and Control over Communication Networks
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Process Control: The Passive Systems Approach
inferredcites →https://doi.org/10.1007/978-3-540-72699-9_50openalex-snapshot
Distributed Model Predictive Control of Large-Scale Systems
inferredcites →https://doi.org/10.1007/bf00276493openalex-snapshot
Dissipative dynamical systems part I: General theory
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Robust process control.
inferredcites →https://doi.org/10.1016/0016-0032(80)90026-5openalex-snapshot
Dissipative Dynamical Systems: Basic Input-Output and State Properties
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A distributed controller approach for delay-independent stability of networked control systems
inferredcites →https://doi.org/10.1016/j.automatica.2013.09.028openalex-snapshot
Control of plant-wide systems using dynamic supply rates
inferredcites →https://doi.org/10.1016/j.ces.2004.01.043openalex-snapshot
Complex systems and networks: challenges and opportunities for chemical and biological engineers
inferredcites →https://doi.org/10.1016/j.ces.2011.10.010openalex-snapshot
Resource aware quasi-decentralized control of networked process systems over wireless sensor networks
inferredcites →https://doi.org/10.1016/j.compchemeng.2007.07.003openalex-snapshot
Dantzig–Wolfe decomposition and plant-wide MPC coordination
inferredcites →https://doi.org/10.1016/j.compchemeng.2008.02.011openalex-snapshot
Quasi-decentralized model-based networked control of process systems
inferredcites →https://doi.org/10.1016/j.compchemeng.2012.05.011openalex-snapshot
Distributed model predictive control: A tutorial review and future research directions
inferredcites →https://doi.org/10.1016/j.compchemeng.2012.05.013openalex-snapshot
Dissipativity-based decentralized control of interconnected nonlinear chemical processes
inferredcites →https://doi.org/10.1016/j.compchemeng.2012.05.016openalex-snapshot
Dynamics and control of chemical process networks: Integrating physics, communication and computation
inferredcites →https://doi.org/10.1016/j.conengprac.2009.07.003openalex-snapshot
A process and control simulator for large scale cryogenic plants
inferredcites →https://doi.org/10.1016/j.jprocont.2006.04.003openalex-snapshot
Price-driven coordination method for solving plant-wide MPC problems
inferredcites →https://doi.org/10.1016/j.jprocont.2009.02.003openalex-snapshot
Architectures for distributed and hierarchical Model Predictive Control – A review
inferredcites →https://doi.org/10.1016/j.jprocont.2009.07.007openalex-snapshot
Distributed control of plantwide chemical processes
inferredcites →https://doi.org/10.1016/j.jprocont.2010.11.005openalex-snapshot
Handling communication disruptions in distributed model predictive control
inferredcites →https://doi.org/10.1016/j.jprocont.2010.12.006openalex-snapshot
Distributed model predictive control based on agent negotiation
inferredcites →https://doi.org/10.1016/j.jprocont.2011.01.013openalex-snapshot
Sensitivity-based coordination in distributed model predictive control
inferredcites →https://doi.org/10.1016/j.jprocont.2011.03.001openalex-snapshot
Plantwide process control with asynchronous sampling and communications
inferredcites →https://doi.org/10.1016/j.jprocont.2013.12.013openalex-snapshot
Decentralized nonlinear control of process networks based on dissipativity—A Hamilton–Jacobi equation approach
inferredcites →https://doi.org/10.1016/j.jprocont.2014.08.005openalex-snapshot
Multi-rate dissipativity based control of process networks
inferredcites →https://doi.org/10.1016/j.watres.2013.04.007openalex-snapshot
State estimation for large-scale wastewater treatment plants
inferredcites →https://doi.org/10.1016/s0959-1524(01)00014-2openalex-snapshot
Nonlinear dynamics and control of process systems with recycle
inferredcites →https://doi.org/10.1016/s0967-0661(02)00186-7openalex-snapshot
A survey of industrial model predictive control technology
inferredcites →https://doi.org/10.1017/cbo9780511804441openalex-snapshot
Convex Optimization
inferredcites →https://doi.org/10.1021/ie000586yopenalex-snapshot
Self-Optimizing Control of a Large-Scale Plant: The Tennessee Eastman Process
inferredcites →https://doi.org/10.1021/ie303447popenalex-snapshot
Price-Driven Coordination of Distributed MPC Controllers for Constrained Dynamic Systems
inferredcites →https://doi.org/10.1021/ie402365dopenalex-snapshot
Robust Quasi-Decentralized Control of Uncertain Process Networks
inferredcites →https://doi.org/10.1021/ie801050bopenalex-snapshot
Dynamics and Control of Process Networks with Large Energy Recycle
inferredcites →https://doi.org/10.1021/ie901768qopenalex-snapshot
Control of Chemical Processes via Output Feedback Controller Networks
inferredcites →https://doi.org/10.1080/00207170802342800openalex-snapshot
A parametrisation for dissipative behaviours–the matrix case
inferredcites →https://doi.org/10.1109/acc.2009.5160418openalex-snapshot
A distributed MPC scheme with low communication requirements
inferredcites →https://doi.org/10.1109/acc.2014.6859106openalex-snapshot
A hybrid proactive-adaptive communication strategy for quasi-decentralized MPC of nonlinear process networks
inferredcites →https://doi.org/10.1109/aucc.2013.6697293openalex-snapshot
Multirate dissipativity-based distributed MPC
inferredcites →https://doi.org/10.1109/tac.1978.1101721openalex-snapshot
Stability criteria for large-scale systems
inferredcites →https://doi.org/10.1109/tcst.2007.903389openalex-snapshot
A Model Predictive Decentralized Control Scheme With Reduced Communication Requirement for Spacecraft Formation
inferredcites →https://doi.org/10.3182/20131218-3-in-2045.00075openalex-snapshot
Multi-Rate Dissipative Control of Large-Scale Systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4570262openalex-extracted
inferred← citeshttps://doi.org/10.1007/s00034-019-01257-0openalex-snapshot
Dissipativity-Guaranteed Distributed Model Predictive Controller for Reconfigurable Large-Scale System
inferred← citeshttps://doi.org/10.1016/b978-0-444-64241-7.50114-2openalex-snapshot
Integrating Model Identification and Model-Based Control of Networked Process Systems
inferred← citeshttps://doi.org/10.1016/j.ifacsc.2023.100237openalex-snapshot
A Distributed Mpc Approach – Local Agents Decide Network Convergence
inferred← citeshttps://doi.org/10.1016/j.jprocont.2016.06.002openalex-snapshot
Sustainability and process control: A survey and perspective
inferred← citeshttps://doi.org/10.1016/j.jprocont.2016.07.009openalex-snapshot
Control configuration synthesis using agglomerative hierarchical clustering: A graph-theoretic approach
inferred← citeshttps://doi.org/10.1109/adconip.2017.7983747openalex-snapshot
Robust distributed control for plantwide processes based on dissipativity in quadratic differential forms
inferred← citeshttps://doi.org/10.1109/ascc.2017.8287276openalex-snapshot
Dissipativity based distributed model predictive control for process network reconfiguration
inferred← citeshttps://doi.org/10.1109/aucc.2016.7868207openalex-snapshot
Robust control of plantwide chemical processes based on parameter dependent dissipativity
inferred← citeshttps://doi.org/10.23919/acc.2017.7963216openalex-snapshot
Analysis and accommodation of communication failures in event-triggered networked distributed control systems
inferred← citeshttps://doi.org/10.3390/math10121964openalex-snapshot
Supervisory Event-Triggered Control of Uncertain Process Networks: Balancing Stability and Performance
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