Performance-based fault detection and fault-tolerant control for automatic control systems
The main focus of this paper is on the analysis and design scheme of performance-based
fault detection and fault-tolerant control for automatic control systems with incipient (slowly …
fault detection and fault-tolerant control for automatic control systems with incipient (slowly …
[HTML][HTML] Data-driven fault diagnosis analysis and open-set classification of time-series data
A Lundgren, D Jung - Control Engineering Practice, 2022 - Elsevier
Fault diagnosis of dynamic systems is done by detecting changes in time-series data, for
example residuals, caused by system degradation and faulty components. The use of …
example residuals, caused by system degradation and faulty components. The use of …
Annulus-event-based fault detection, isolation and estimation for multirate time-varying systems: applications to a three-tank system
In this paper, the annulus-event-based fault detection, isolation and estimation (FDIE)
problem is examined for a class of multi-rate time-varying systems with sensor degradations …
problem is examined for a class of multi-rate time-varying systems with sensor degradations …
Fast moving horizon state estimation for discrete-time systems using single and multi iteration descent methods
A Alessandri, M Gaggero - IEEE Transactions on Automatic …, 2017 - ieeexplore.ieee.org
Descent algorithms based on the gradient, conjugate gradient, and Newton methods are
investigated to perform optimization in moving horizon state estimation for discrete-time …
investigated to perform optimization in moving horizon state estimation for discrete-time …
A data-driven approach to actuator and sensor fault detection, isolation and estimation in discrete-time linear systems
E Naderi, K Khorasani - Automatica, 2017 - Elsevier
In this work, we propose and develop data-driven explicit state-space based fault detection,
isolation and estimation filters that are directly identified and constructed from only the …
isolation and estimation filters that are directly identified and constructed from only the …
Data-driven designs of observers and controllers via solving model matching problems
This paper targets the development of a data-driven framework for designing observers and
controllers of close-loop systems with consideration of disturbances. Under this framework …
controllers of close-loop systems with consideration of disturbances. Under this framework …
Torus-event-based fault diagnosis for stochastic multirate time-varying systems with constrained fault
In this paper, the torus-event-based fault detection and isolation (FDI) problem is
investigated for a class of time-varying multirate systems. An ellipsoidal constraint is first …
investigated for a class of time-varying multirate systems. An ellipsoidal constraint is first …
Computing probabilistic bounds on state trajectories for uncertain systems
Bounds for the evolution of state trajectories of systems with uncertainty are important for
various applications such as safety assessment, experimental design, and robust control …
various applications such as safety assessment, experimental design, and robust control …
Fault estimation and control for unknown discrete-time systems based on data-driven parameterization approach
This study investigates the problem of fault estimation and control for unknown discrete-time
systems. Such a problem was first formulated as an multiobjective optimization problem …
systems. Such a problem was first formulated as an multiobjective optimization problem …
Real-time stability performance monitoring and evaluation of maglev trains' levitation system: A data-driven approach
Y Xu, Z Long, Z Zhao, M Zhai… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The commercial operation of the maglev train puts critical demands on reliability and
operation performance. Since maglev trains' levitation system is open-loop unstable, its …
operation performance. Since maglev trains' levitation system is open-loop unstable, its …