Design of unknown inputs and multiple integral observers for Takagi-Sugeno multiple model

Jamel, Wafa; Khedher, Atef; Bouguila, Nasreddine; Othman, Kamel Ben

doi:10.1109/ssd.2015.7348194

Cited by 3 publications

(4 citation statements)

References 6 publications

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“…Let us define the following states (Jamel et al, 2015) Defining X(t) and X f (t) the two augmented states [ ]…”

Section: The Known Inputmentioning

confidence: 99%

“…This estimation is assured via the elimination of unknown inputs (Bouguila et al, 2013). Other works choose to estimate simultaneously the unknown inputs and the system state (Jamel et al, 2013(Jamel et al, , 2015Khedher et al, 2010;Manaa et al, 2015). Estimation can be obtained using several kinds of observers, such as a proportional integral observer (Khedher et al, 2009), and a sliding mode controller (Msaddek et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

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Observer design and active fault tolerant control for Takagi-Sugeno systems affected by sensors faults

Jamel

Khedher

Othman

2017

IJMIC

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“…Let us define the following states (Jamel et al, 2015) Defining X(t) and X f (t) the two augmented states [ ]…”

Section: The Known Inputmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Observer design and active fault tolerant control for Takagi-Sugeno systems affected by sensors faults

Jamel

Khedher

Othman

2017

IJMIC

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“…In the next sections, we will briefly illustrate the type of hardware that was chosen, and, after discussing the aerodynamic challenges, we will address the fuzzy logic resolution method that was used to simplify the calculations. In the current context of flight in which the ground, air and space segments must converse with each other, the ground segment, thanks to Internet-of-Things (IoT) and Wi-Fi technology, is taking on an increasingly important role for UAVs during flight phases and landing via the base station [4].…”

Section: Introductionmentioning

confidence: 99%

Precise Takagi-Sugeno fuzzy logic system for UAV longitudinal stability: an Industry 4.0 case study for aerospace

Petritoli

Leccese²

2020

ACTA IMEKO

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Industry 4.0 is making inroads even into the field of aerospace, which is extremely conservative due to the safety concerns involved with the introduction of new technology. We used fuzzy logic to create a very reliable simplification and reduce the complexity of the critical longitudinal stability equations for a flying wing drone. Our approximate method allowed us to have a very light calculation effort at the price of a negligible error in terms of the size and dynamics of the craft, thus reducing the work required by the telecommunication segment that manages the takeoff and landing manoeuvres

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“…This estimation is assured via the elimination of unknown inputs . Other works choose to estimate simultaneously the unknown inputs and the system state (Jamel et al, , 2015Khedher et al, 2010;Manaa et al, 2015). Estimation can be obtained using several kinds of observers, such as a proportional integral observer (Khedher et al, 2009), and a sliding mode controller (Msaddek et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Observer design and active fault tolerant control for Takagi-Sugeno systems affected by sensors faults

Jamel

Khedher

Othman

2017

IJMIC

Self Cite

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This paper deals with the problem of active fault tolerant control strategy for nonlinear systems described by Takagi-Sugeno models. The proposed control law uses the estimated fault. The considered systems are affected by sensor faults. A mathematical transformation is used in order to conceive an augmented system in which the sensor faults affecting the initial system appear as unknown inputs. A proportional integral observer with unknown inputs is conceived in order to estimate simultaneously states and sensor faults. The stability of the system with the proposed fault tolerant control strategy is formulated using Lyapunov theory and the observer gains are obtained by solving linear matrices inequalities. To illustrate the proposed method, it is applied to the three columns.Keywords: Takagi-Sugeno model; proportional integral observer with unknown inputs; sensor faults; active fault tolerant control strategy.Reference to this paper should be made as follows: Jamel, W., Khedher, A. and Ben Othman, K. (2017) 'Observer design and active fault tolerant control for Takagi-Sugeno systems affected by sensors faults', Int.

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Design of unknown inputs and multiple integral observers for Takagi-Sugeno multiple model

Cited by 3 publications

References 6 publications

Observer design and active fault tolerant control for Takagi-Sugeno systems affected by sensors faults

Observer design and active fault tolerant control for Takagi-Sugeno systems affected by sensors faults

Precise Takagi-Sugeno fuzzy logic system for UAV longitudinal stability: an Industry 4.0 case study for aerospace

Observer design and active fault tolerant control for Takagi-Sugeno systems affected by sensors faults

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