Event-triggered robust fault diagnosis and control of linear Roesser systems: A unified framework

Autor: Nader Meskin, Hamid Alikhani
Rok vydání: 2021
Předmět:
0209 industrial biotechnology
Observer (quantum physics)
Computer science
Linear matrix inequalities
Detection framework
02 engineering and technology
Fault (power engineering)
Fault detection and isolation
Robust fault detection and isolation
020901 industrial engineering & automation
Robust fault diagnosis
Control theory
Gas absorption
0202 electrical engineering
electronic engineering
information engineering

Isolation (database systems)
Electrical and Electronic Engineering
Stochastics
Control (linguistics)
Event-triggered framework
Linear roesse system
Unified framework
Stochastic systems
020208 electrical & electronic engineering
Fault detection isolations
Event-triggered
Control framework
Control and Systems Engineering
Bounded function
Fault detection
Energy (signal processing)
Data transmission
Zdroj: Automatica. 128:109575
ISSN: 0005-1098
DOI: 10.1016/j.automatica.2021.109575
Popis: In this paper, the problem of simultaneous robust fault detection and isolation and control in the presence of the stochastic, energy bounded, and peak bounded disturbances for linear Roesser systems through the network with limited resources is investigated. Toward this goal, a novel event-triggered integrated fault detection, isolation and control (IFDIC) framework is proposed where a time concept is considered for linear Roesser systems to define an event-triggered mechanism for data transmission of the output measurement to the IFDIC module and the control input to the plant through the network. Then, the sufficient conditions for the robust event-triggered fault detection and isolation observer, robust event-triggered H ∞ ∕ H 2 ∕ L 1 control are derived using linear matrix inequalities (LMIs). Finally, the effectiveness of the proposed event-triggered IFDIC framework is demonstrated through simulation studies for thermal and gas absorption processes.
Databáze: OpenAIRE