Adaptive Super Twisting control design for manufactured diesel engine air path

Gabsi, Mohamed; Ali, Sofiane Ahmed; Langlois, Nicolas

doi:10.1007/s00170-017-0327-9

Cited by 5 publications

(3 citation statements)

References 33 publications

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“…The developments were carried out on an Ubuntu Linux platform with ROS, which is a set of computer tools for the robotics environment that includes a collection of tools, libraries and conventions that aim to simplify the process of operation, thus allowing more complex and robust robot behavior [29]. The…”

Section: Resultsmentioning

confidence: 99%

Real Time Pedestrian and Object Detection and Tracking-based Deep Learning. Application to Drone Visual Tracking

Khemmar¹,

Gouveia²,

Decoux³

et al. 2019

Computer Science Research Notes

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This work aims to show the new approaches in embedded vision dedicated to object detection and tracking for drone visual control. Object/Pedestrian detection has been carried out through two methods: 1 This work is carried out as part of the INTERREG VA FMA ADAPT project "Assistive Devices for empowering disAbled People through robotic Technologies" http://adaptproject.com/index.php. The Interreg FCE Programme is a European Territorial Cooperation programme that aims to fund high quality our improved HOG approach and implemented two kinds of PID controllers. The platform has been validated under different scenarios by comparing measured data to ground truth data given by the drone GPS. Several tests which were ca 1 rried out at ESIGELEC car park and Rouen city center validate the developed platform.

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Section: Resultsmentioning

confidence: 99%

Real Time Pedestrian and Object Detection and Tracking-based Deep Learning. Application to Drone Visual Tracking

Khemmar¹,

Gouveia²,

Decoux³

et al. 2019

Computer Science Research Notes

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“…As such, this method is one of the leading candidates used in control of most actual systems for many applications. 6–8…”

Section: Introductionmentioning

confidence: 99%

“…As such, this method is one of the leading candidates used in control of most actual systems for many applications. [6][7][8] The following literature interviews and focuses specifically on different structures of sliding mode control for 2-degree-of-freedom (DOF) helicopter system. Yu and Liu 2 presented a novel design for control of 2-DOF helicopter.…”

Section: Introductionmentioning

confidence: 99%

Particle swarm optimization–based adaptive super-twisting sliding mode control design for 2-degree-of-freedom helicopter

Humaidi

Hasan

2019

Measurement and Control

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This paper presents a novel design of adaptive super-twisting sliding mode controller for two-axis helicopter with model uncertainties. The high-order super-twisting sliding mode control strategy is used to guarantee that the sliding surface can reach the equilibrium point in a shorter time and to avoid the chattering problem. The adaptive control algorithm has been developed based on Lyapunov theory to estimate the unknown parameters of 2-degree-of-freedom helicopter such that the global stability of the controlled system based on adaptive super-twisting sliding mode is guaranteed. A comparison study between conventional and adaptive super-twisting sliding mode controllers is made and the effectiveness of the proposed scheme is verified via computer simulation.

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Optimal interval type-2 fuzzy fractional order super twisting algorithm: A second order sliding mode controller for fully-actuated and under-actuated nonlinear systems

2019

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Adaptive Super Twisting control design for manufactured diesel engine air path

Cited by 5 publications

References 33 publications

Real Time Pedestrian and Object Detection and Tracking-based Deep Learning. Application to Drone Visual Tracking

Real Time Pedestrian and Object Detection and Tracking-based Deep Learning. Application to Drone Visual Tracking

Particle swarm optimization–based adaptive super-twisting sliding mode control design for 2-degree-of-freedom helicopter

Optimal interval type-2 fuzzy fractional order super twisting algorithm: A second order sliding mode controller for fully-actuated and under-actuated nonlinear systems

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