In this work, fractional order based robust integral of the sign of the error controller (FRISE) is proposed to achieve longitudinal and lateral stability for fixed wing autonomous aerial vehicle (AAV). The AAV dynami...
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In this work, the investigation's goal is to conduct experiments and simulations on the existing gear pump test rig setup. The various parameters are set and observed in the first section of the investigation. Cal...
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The fruit picking robot based on YOLOv5 has great development and application prospect in many fields in today's society, among which the target recognition accuracy of fruit image is the key. In view of the low r...
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Proposed a method for calculating the area of road diseases using a monocular camera. The camera and the road plane are calibrated to obtain the mapping relationship between pixel points and spatial points;the Mask R-...
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This paper focuses on the application of model-based predictive control (MPC) for a full wrist exoskeleton designed for the alleviation of tremors in patients suffering from Parkinson's Disease and Essential Tremo...
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ISBN:
(纸本)9781713872344
This paper focuses on the application of model-based predictive control (MPC) for a full wrist exoskeleton designed for the alleviation of tremors in patients suffering from Parkinson's Disease and Essential Tremor. The main motivation for using MPC here relies on its ability to incorporate state and input constraints, which are crucial for the user's safety. The forearm-exoskeleton model is successively linearized at each time sample to obtain a linear state space model. The optimal input is then generated by minimizing a convex quadratic cost function. Finally, simulation cases are provided to demonstrate the effectiveness of the control scheme. Copyright (c) 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)
Predictive control is a very general method of designing an optimal controller, allowing the use of different criteria, but also a large number of different models of the controlled system. In this paper, the derivati...
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The paper describes an aggregate cloud-based digital twin (DT) that models an industrial robot by virtualizing its physical structure, motion and action control, operating modes, parameters and interactions with shop ...
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In this paper we report on the web application which was developed to help users considering the purchase of an indoor robot to verify the effectiveness of the robot in their environment of use. The application uses a...
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In order to avoid the occlusion problems and missing important features of streamlines in the flow field, this paper proposes a 3D streamline selection algorithm based on comprehensive similarity. The method starts wi...
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Depression is a common mental illness characterized by symptoms such as low mood, pessimism, and insomnia. In this study, we developed a deep Dual-Stream CNN to automatically diagnose and classify depression in expres...
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