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Data-driven fault detection and isolation of nonlinear systems using deep learning for Koopman operator
(
ISA - Instrumentation, Systems, and Automation Society
, 2023 , Article)
This paper proposes a data-driven actuator fault detection and isolation approach for the general class of nonlinear systems. The proposed method uses a deep neural network architecture to obtain an invariant set of basis ...
An output-feedback adaptive control architecture for mitigating actuator attacks in cyber-physical systems
(
John Wiley and Sons Ltd
, 2019 , Article)
In this paper, we present a control design framework wherein an adaptive-based corrective signal is augmented to the output of the nominal controller in order to suppress or counteract the effect of malicious actuator ...
Observer-based tracking controller design for a class of Lipschitz nonlinear systems
(
SAGE Publications Inc
, 2018 , Article Review)
© 2017, © The Author(s) 2017. In this paper, the observer-based controller design problem for tracking a constant reference input in Lipschitz nonlinear systems is addressed. To this end, at first, a state feedback controller ...
Fault-tolerant control of non-linear systems based on adaptive virtual actuator
(
Institution of Engineering and Technology
, 2017 , Article)
A new adaptive fault-tolerant control architecture for Lipschitz non-linear systems is developed. Specifically, the proposed approach involves a novel adaptive virtual actuator which is inserted between the faulty plant ...
Reconfigurable control of linear systems based on state feedback adaptive virtual actuator
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
In this paper, design and development of fault tolerant control (FTC) of linear systems subject to loss of effectiveness and time-varying additive actuator faults as well as an external disturbance using the fault-hiding ...
Data-driven sensor fault detection and isolation of nonlinear systems: Deep neural-network Koopman operator
(
John Wiley and Sons Inc
, 2023 , Article)
This paper proposes a data-driven sensor fault detection and isolation approach for the general class of nonlinear systems. The proposed method uses deep neural network architecture to obtain an invariant set of basis ...