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On Online Adaptive Direct Data Driven Control
IEEE Access, 2022 Based on our recent contributions on direct data driven control scheme, this paper continues to do some new research on direct data driven control, paving another way for latter future work on advanced control theory.
Wang Jianhong +1 more
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Direct Data Driven Scheme for UAV Flight Control
IEEE Access, 2022 Consider one special closed loop system structure with one unknown plant and two unknown controllers,i.e. feed forward controller and feedback controllers, our missions are to identify this plant and design these two controllers without any physical ...
Wang JIanhong +2 more
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Complete Synthesis Analysis for Direct Data Driven Control
IEEE Access, 2023 Due to vast data in information era,direct data driven control is more widely studied all over the world, i.e. designing the unknown controller directly from the measured input-output data,while avoiding the modeling process for the unknown plant.
Zeng Bohua, Wang JIanhong
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Direct Data Driven Control for UAVs Formation Dynamic Network
IEEE Access, 2023 This new paper applies the novel direct data driven control into UAVs formation dynamic network and designs the distributed controller for each UAV, while guaranteeing the desired flight performance.
Yue Guoning, Wang JIanhong
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Contextualizing the privacy paradox—a risk–benefit analysis of generation z’s adoption intentions toward AI-based virtual try-on [PDF]
Frontiers in PsychologyIntroductionWith the rapid advancement of artificial intelligence (AI), AI-driven virtual try-on (AI-VTO) services are reshaping consumption patterns in fashion retail.
Keren Mao +4 more
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On Direct vs Indirect Data-Driven Predictive Control [PDF]
2021 60th IEEE Conference on Decision and Control (CDC), 2021 In this work, we compare the direct and indirect approaches to data-driven predictive control of stochastic linear time-invariant systems. The distinction between the two approaches lies in the fact that the indirect approach involves identifying a lower dimensional model from data which is then used in a certainty-equivalent control design, while the ...
Vishaal Krishnan, Fabio Pasqualetti
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Direct Data Driven Model Reference Control for Flight Simulation Table
IEEE Access, 2022 We present a direct data driven model reference control framework for flight simulation table from both the theoretical analysis and engineering application.
Wang Jianhong +1 more
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Direct Data-Driven Control for Cascade Control System [PDF]
Mathematical Problems in Engineering, 2021 This paper combines system identification, direct data-driven control, and optimization algorithm to design two controllers for one cascade control system, that is, the inner controller and the outer controller. More specifically, when these two controllers in the cascade control system are parameterized by two unknown parameter vectors, respectively ...
Hong Jianwang +2 more
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Direct Data-Driven Control of Constrained Systems [PDF]
IEEE Transactions on Control Systems Technology, 2018 In model-based control design, one often has to describe the plant by a linear model. Deriving such a model poses issues of parameterization, estimation, and validation of the model before designing the controller. In this paper, a direct data-driven control method is proposed for designing controllers that can handle constraints without deriving a ...
Piga D., Formentin S., Bemporad A.
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Direct Data-Driven Vibration Control for Adaptive Optics
2023 62nd IEEE Conference on Decision and Control (CDC), 2023 Adaptive optics (AO) systems are used in ground-based telescopes to improve image resolutions, especially for long-exposure photography, by compensating for the effects of atmospheric turbulence and internal vibrations. Most current AO systems are based on simple control laws that either neglect the temporal correlation in atmospheric turbulence, use a
Gupta, Vaibhav +3 more
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