Orthotopic set-membership parameter estimation of fractional order model

Hamdi, Saif Eddine; Amairi, Messaoud; Aoun, Mohamed

doi:10.1109/med.2016.7535873

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…For fractional models, few studies have treated set-membership parameter estimation using an ellipsoidal approximation (Amairi, 2016) or a parallelotope approximation (Amairi et al, 2012). To improve the estimation algorithms of uncertain fractional systems for efficient applications in control (Saidi et al, 2015; Yakoub et al, 2017) and diagnosis, a new orthotopic approach has been developed recently (Hamdi et al, 2016). In this paper, we propose an improvement of the orthotopic set-membership parameter estimation method and a comparison with the ellipsoidal approach.…”

Section: Introductionmentioning

confidence: 99%

Recursive set-membership parameter estimation of fractional systems using orthotopic approach

Hamdi

Amairi

Aoun

2018

Transactions of the Institute of Measurement and Control

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In this paper, set-membership parameter estimation of linear fractional-order systems is addressed for the case of unknown-but-bounded equation error. In such bounded-error context with a-priori known noise bounds, the main goal is to characterize the set of all feasible parameters. This characterization is performed using an orthotopic strategy adapted for fractional system parameter estimation. In the case of a fractional commensurate system, an iterative algorithm is proposed to deal with commensurate-order estimation. The performances of the proposed algorithm are illustrated by a numerical example via a Monte Carlo simulation.

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Section: Introductionmentioning

confidence: 99%

Recursive set-membership parameter estimation of fractional systems using orthotopic approach

Hamdi

Amairi

Aoun

2018

Transactions of the Institute of Measurement and Control

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Set-Membership Estimation in Shared Situational Awareness for Automated Vehicles in Occluded Scenarios

Narri

Alanwar

Mårtensson

et al. 2021

2021 IEEE Intelligent Vehicles Symposium (IV)

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One of the main challenges in developing autonomous transport systems based on connected and automated vehicles is the comprehension and understanding of the environment around each vehicle. In many situations, the understanding is limited to the information gathered by the sensors mounted on the ego-vehicle, and it might be severely affected by occlusion caused by other vehicles or fixed obstacles along the road. Situational awareness is the ability to perceive and comprehend a traffic situation and to predict the intent of vehicles and road users in the surrounding of the ego-vehicle. The main objective of this paper is to propose a framework for how to automatically increase the situational awareness for an automatic bus in a realistic scenario when a pedestrian behind a parked truck might decide to walk across the road. Depending on the ego-vehicle's ability to fuse information from sensors in other vehicles or in the infrastructure, shared situational awareness is developed using a set-based estimation technique that provides robust guarantees for the location of the pedestrian. A two-level information fusion architecture is adopted, where sensor measurements are fused locally, and then the corresponding estimates are shared between vehicles and units in the infrastructure. Thanks to the provided safety guarantees, it is possible to appropriately adjust the ego-vehicle speed to maintain a proper safety margin. It is also argued that the framework is suitable for handling sensor failures and false detections in a systematic way. Three scenarios of growing information complexity are considered throughout the study. Simulations show how the increased situational awareness allows the ego-vehicle to maintain a reasonable speed without sacrificing safety.

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Orthotopic approach of set-membership parameters estimation for LPV system using fractional models

Hamdi

Amairi

Aoun

2017

2017 18th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)

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Orthotopic set-membership parameter estimation of fractional order model

Cited by 3 publications

References 7 publications

Recursive set-membership parameter estimation of fractional systems using orthotopic approach

Recursive set-membership parameter estimation of fractional systems using orthotopic approach

Set-Membership Estimation in Shared Situational Awareness for Automated Vehicles in Occluded Scenarios

Orthotopic approach of set-membership parameters estimation for LPV system using fractional models

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