Articles with "adaptive gain" as a keyword



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A novel adaptive-gain technique for high-order sliding-mode observers with application to electro-hydraulic systems

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Published in 2020 at "Mechanical Systems and Signal Processing"

DOI: 10.1016/j.ymssp.2020.106875

Abstract: Abstract In this paper, a novel technique for adaptive gain selection in high-order sliding mode observers to estimate the state and the disturbance acting on a hydraulic actuators is designed and tested. The proposed gain… read more here.

Keywords: technique; sliding mode; order sliding; gain ... See more keywords
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A Fast Adaptive-Gain Complementary Filter Algorithm for Attitude Estimation of an Unmanned Aerial Vehicle – CORRIGENDUM

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Published in 2018 at "Journal of Navigation"

DOI: 10.1017/s0373463318000620

Abstract: In Yang et al. (2018), the authors derive an observation model of attitude quaternions from normalised accelerometer measurements. The method of Yang et al. builds up the linear measurement model via Taylor approximations. Some significant… read more here.

Keywords: estimation; gain complementary; attitude; yang 2018 ... See more keywords
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Robust adaptive H ∞ gain neural observer for a class of non-linear systems

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Published in 2017 at "Iet Control Theory and Applications"

DOI: 10.1049/iet-cta.2015.1340

Abstract: This study investigates the design of robust adaptive H ∞ gain neural observer (RA H ∞ NO) for a large class of non-linear systems with unknown constant parameters in the presence of bounded external perturbations… read more here.

Keywords: robust adaptive; class non; gain; neural observer ... See more keywords
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Synthesis of adaptive gain robust model-following/tracking controllers for uncertain systems with multiple unknown dead-zone inputs via piecewise Lyapunov functions

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Published in 2023 at "International Journal of Systems Science"

DOI: 10.1080/00207721.2023.2210135

Abstract: ABSTRACT This paper considers a design problem of adaptive gain robust model-following/tracking controllers for a class of uncertain systems with multiple unknown dead-zone inputs via piecewise Lyapunov functions. The parameters for dead-zone characteristics are assumed… read more here.

Keywords: robust model; model following; dead zone; gain robust ... See more keywords
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Finite-Time Continuous Nonsingular Terminal Modified Adaptive-Gain Super-Twisting Control: Application to a 2-DOF Planar Robot Manipulator System.

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Published in 2022 at "IEEE transactions on cybernetics"

DOI: 10.1109/tcyb.2022.3226957

Abstract: This article proposes finite-time continuous nonsingular terminal modified adaptive-gain super-twisting control (FT-CNT-MAG-STC) for the second-order disturbed systems. Compared with existing sliding-mode controllers, the noteworthy improvements of the proposed framework are the fast finite-time convergence, continuous… read more here.

Keywords: system; time; control; finite time ... See more keywords
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Adaptive Gain Scheduled Semiactive Vibration Control Using a Neural Network

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Published in 2018 at "Shock and Vibration"

DOI: 10.1155/2018/3762784

Abstract: We propose an adaptive gain scheduled semiactive control method using an artificial neural network for structural systems subject to earthquake disturbance. In order to design a semiactive control system with high control performance against earthquakes… read more here.

Keywords: neural network; control; semiactive control; adaptive gain ... See more keywords