Data-based monitoring and reconfiguration of a distributed model predictive control system

DOI10.1002/rnc.1759zbMath1244.93076OpenAlexW2139110404MaRDI QIDQ2903978

David Chilin, Jinfeng Liu, Panagiotis D. Christofides, James F. Davis

Publication date: 4 August 2012

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.1759

zbMATH Keywords

fault detection and isolationdistributed model predictive controlfault-tolerant controlchemical process controldata-based methods

Mathematics Subject Classification ID

Control/observation systems involving computers (process control, etc.) (93C83) Adaptive control/observation systems (93C40) Fault detection; testing in circuits and networks (94C12)

Related Items (2)

Data-based output feedback control using least squares estimation method for a class of nonlinear systems ⋮ Reliable H_∞control of discrete-time systems against random intermittent faults

Cites Work

• Distributed model predictive control of nonlinear systems subject to asynchronous and delayed measurements
• Isolation and handling of actuator faults in nonlinear systems
• Control of nonlinear and hybrid process systems. Design for uncertainty constraints and time-delays.
• A Smooth Converse Lyapunov Theorem for Robust Stability

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