Publications

@article{Tellili2018736,

title = {Adaptive Fault Tolerant Control of Multi-time-scale Singularly Perturbed Systems},

author = {A. Tellili and N. Abdelkrim and A. Challouf and M. -N. Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992679392\&doi=10.1007%2fs11633-016-0971-9\&partnerID=40\&md5=dc9dd313b1f70132d087233e6320c62a},

doi = {10.1007/s11633-016-0971-9},

issn = {14768186},

year  = {2018},

date = {2018-01-01},

journal = {International Journal of Automation and Computing},

volume = {15},

number = {6},

pages = {736-746},

publisher = {Chinese Academy of Sciences},

abstract = {This paper studies the fault tolerant control, adaptive approach, for linear time-invariant two-time-scale and three-time-scale singularly perturbed systems in presence of actuator faults and external disturbances. First, the full order system will be controlled using ε-dependent control law. The corresponding Lyapunov equation is ill-conditioned due to the presence of slow and fast phenomena. Secondly, a time-scale decomposition of the Lyapunov equation is carried out using singular perturbation method to avoid the numerical stiffness. A composite control law based on local controllers of the slow and fast subsystems is also used to make the control law ε-independent. The designed fault tolerant control guarantees the robust stability of the global closed-loop singularly perturbed system despite loss of effectiveness of actuators. The stability is proved based on the Lyapunov stability theory in the case where the singular perturbation parameter is sufficiently small. A numerical example is provided to illustrate the proposed method. © 2016, Institute of Automation, Chinese Academy of Sciences and Springer-Verlag GmbH Germany, part of Springer Nature.},

note = {cited By 7},

keywords = {Actuator fault; Adaptive fault-tolerant control; Lyapunov equation; Singularly perturbed systems; Time-scale decomposition, Actuators; Control theory; Difference equations; Fault tolerance; Linear control systems; Lyapunov functions; Numerical methods; Perturbation techniques; Time measurement, Adaptive control systems},

pubstate = {published},

tppubtype = {article}

}

@article{Yakoub2017193b,

title = {Model-free adaptive fractional order control of stable linear time-varying systems},

author = {Z. Yakoub and M. Amairi and M. Chetoui and B. Saidi and M. Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011092641\&doi=10.1016%2fj.isatra.2017.01.023\&partnerID=40\&md5=ef003af63081afd7289f8c88ae23e48f},

doi = {10.1016/j.isatra.2017.01.023},

year  = {2017},

date = {2017-01-01},

journal = {ISA Transactions},

volume = {67},

pages = {193 \textendash 207},

abstract = {This paper presents a new model-free adaptive fractional order control approach for linear time-varying systems. An online algorithm is proposed to determine some frequency characteristics using a selective filtering and to design a fractional PID controller based on the numerical optimization of the frequency-domain criterion. When the system parameters are time-varying, the controller is updated to keep the same desired performances. The main advantage of the proposed approach is that the controller design depends only on the measured input and output signals of the process. The effectiveness of the proposed method is assessed through a numerical example. © 2017 ISA},

note = {Cited by: 22},

keywords = {Adaptive control systems, Calculations, Controllers, Fractional calculus, Fractional order control, Fractional pid controllers, Frequency characteristic, Frequency domain analysis, Linear time-varying systems, Model-free adaptive control, Numerical methods, Numerical optimizations, Optimization, Robustness (control systems), Selective filtering, Three term control systems, Time varying control systems},

pubstate = {published},

tppubtype = {article}

}

@article{Tellili2016104,

title = {Adaptive fault tolerant control of singularly perturbed systems with actuator faults},

author = {A. Tellili and N. Abdelkrim and A. Challouf and M. N. Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84969821545\&doi=10.1504%2fIJAAC.2016.076454\&partnerID=40\&md5=25faedec40073abd166dd70254cae6f0},

doi = {10.1504/IJAAC.2016.076454},

issn = {17407516},

year  = {2016},

date = {2016-01-01},

journal = {International Journal of Automation and Control},

volume = {10},

number = {2},

pages = {104-119},

publisher = {Inderscience Publishers},

abstract = {This paper deals with the adaptive fault tolerant control for linear time-invariant singularly perturbed systems against actuator failures and external disturbances. By time-scale decomposition using singular perturbation method, the full-order system is decomposed into slow and fast subsystems. An ϵ-dependent fault tolerant controller for the global system is first designed. To avoid numerical stiffness, a simplification based on singular perturbation parameter decoupling is secondly carried out using the reduced subsystems and some manipulations of the Lyapunov equations. The resulting control system is fault tolerant in that, it provides guaranteed asymptotic stability in presence of external disturbances when all control components are operational as well as when actuator failures occur. The stability is guaranteed based on the Lyapunov stability theory provided the singular perturbation parameter is sufficiently small. A numerical example is given to illustrate the proposed method, where the efficiency of the developed approach will be compared with a reliable H∞ control technique. © Copyright 2016 Inderscience Enterprises Ltd.},

note = {cited By 5},

keywords = {Actuator failures; Adaptive Control; Adaptive fault-tolerant control; Fault tolerant control; Lyapunov stability theory; Singular perturbation method; Singularly perturbed systems; Time-scale decomposition, Actuators; Asymptotic stability; Fault tolerance; Linear control systems; Lyapunov functions; Numerical methods; Perturbation techniques, Adaptive control systems},

pubstate = {published},

tppubtype = {article}

}

@article{Tellili2014239,

title = {Decentralized adaptive fault-tolerant control for complex systems with actuator faults},

author = {A. Tellili and A. Challouf and M. N. Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84921292626\&doi=10.25088%2fcomplexsystems.23.3.239\&partnerID=40\&md5=29393f1b99247692657a693abbffc095},

doi = {10.25088/complexsystems.23.3.239},

issn = {08912513},

year  = {2014},

date = {2014-01-01},

journal = {Complex Systems},

volume = {23},

number = {3},

pages = {239-257},

publisher = {Complex Systems Publications, Inc},

abstract = {In this paper, an adaptive fault-tolerant control scheme is extended to large-scale interconnected systems with actuator failures and external disturbances. Based on Lyapunov stability theory, a state feedback decentralized controller is designed to compensate for the fault and the disturbance effects, using the overlapping decomposition method. Applying the inclusion principle, the interconnected system is expanded in order to become disjoint subsystems. An adaptive controller is then synthesized separately for each obtained subsystem. The decentralized controller, designed for the expanded system, is finally contracted back to be implemented in the original space. An example of application illustrates the theoretical results and provides a comparative study with other robust and fault-tolerant methods. © 2014 Complex Systems Publications, Inc.},

note = {cited By 1},

keywords = {Actuators; Controllers; Decentralized control; Fault tolerance; Large scale systems; State feedback, Adaptive control systems, Adaptive fault-tolerant control; Decentralized controller; External disturbances; Fault-tolerant method; Inclusion principles; Large-scale interconnected systems; Lyapunov stability theory; Overlapping decomposition},

pubstate = {published},

tppubtype = {article}

}