An approach to reconfiguring control systems in the event of major failures is advocated. The approach relies on the convergence of several technologies which are currently emerging: Constrained predictive control, High-fidelity modelling of complex systems, Fault detection and identification, and Model approximation and simplification. Much work is needed, both theoretical and algorithmic, to make this approach practical, but we believe that there is enough evidence, especially from existing industrial practice, for the scheme to be considered realistic. After outlining the problem and proposed solution, the paper briefly reviews constrained predictive control and object-oriented modelling, which are the essential ingredients for practical...
Fault-tolerant control aims at a graceful degradation of the behaviour of automated systems in case ...
Model Predictive Control (MPC) is used to solve challenging multivariable-constrained control proble...
In developing modern aircraft, the reconfiguration control that can improve the safety and the survi...
Current jet fighters and modern airliners are hugely complex pieces of machinery. The drawback of th...
The losses of military and civilian aircraft due to control surface failures have prompted research ...
Tracking control for large amplitude manoeuvres in the presence of damages to the airframe and contr...
A predictive control algorithm uses a model of the controlled system to predict the system behavior ...
Model predictive control (MPC) solves an optimization at every sampling instance to achieve commande...
Model Predictive Control (MPC) solves an optimization at every sampling instance to achieve commande...
From the perspective control practitioners, control of dynamics systems subjected to varying paramet...
Abstract Essential ingredients for fault-tolerant control are the ability to represe...
In this paper, we address the problem of the reconfiguration of flight control systems after subsyst...
Essential ingredients for fault-tolerant control are the ability to represent system behaviour follo...
Essential ingredients for fault-tolerant control are the ability to represent system behaviour follo...
Due to the economically sensitive condition of the chemical and petroleum industries, we can no long...
Fault-tolerant control aims at a graceful degradation of the behaviour of automated systems in case ...
Model Predictive Control (MPC) is used to solve challenging multivariable-constrained control proble...
In developing modern aircraft, the reconfiguration control that can improve the safety and the survi...
Current jet fighters and modern airliners are hugely complex pieces of machinery. The drawback of th...
The losses of military and civilian aircraft due to control surface failures have prompted research ...
Tracking control for large amplitude manoeuvres in the presence of damages to the airframe and contr...
A predictive control algorithm uses a model of the controlled system to predict the system behavior ...
Model predictive control (MPC) solves an optimization at every sampling instance to achieve commande...
Model Predictive Control (MPC) solves an optimization at every sampling instance to achieve commande...
From the perspective control practitioners, control of dynamics systems subjected to varying paramet...
Abstract Essential ingredients for fault-tolerant control are the ability to represe...
In this paper, we address the problem of the reconfiguration of flight control systems after subsyst...
Essential ingredients for fault-tolerant control are the ability to represent system behaviour follo...
Essential ingredients for fault-tolerant control are the ability to represent system behaviour follo...
Due to the economically sensitive condition of the chemical and petroleum industries, we can no long...
Fault-tolerant control aims at a graceful degradation of the behaviour of automated systems in case ...
Model Predictive Control (MPC) is used to solve challenging multivariable-constrained control proble...
In developing modern aircraft, the reconfiguration control that can improve the safety and the survi...