Results 11 to 20 of about 2,883,845 (315)
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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Data Driven Linear Quadratic Gaussian Control Design
IEEE Access, 2023 The implementation of the Linear Quadratic Gaussian (LQG) scheme is often considered problematic as it requires a dynamic model of the system as a whole.
Adi Novitarini Putri +3 more
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Optimization for Data-Driven Learning and Control [PDF]
Proceedings of the IEEE, 2020 This special issue provides a comprehensive overview of modern optimization tools and methods for the purposes of data-driven learning and control.
Usman A. Khan +4 more
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Nihon Kikai Gakkai ronbunshu, 2022 In this paper, we present a new approach to data-driven update of table-typed controller gain in tracing control system. This type of control system is used in various precision processing systems for industrial products.
Noriaki IHORI +3 more
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Synthesis analysis for data driven model predictive control*
Systems Science & Control Engineering, 2022 This paper shows our new contributions on data driven model predictive control, such as persistent excitation, optimal state feedback controller, output predictor and stability.
Hong Jianwang +1 more
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A data‐driven chassis coordination control strategy
IET Intelligent Transport Systems, 2021 Collaborative control strategy based on different driving conditions is a challenge for chassis systems with various electronic control units. This paper proposes a chassis cooperative control strategy based on vehicle inertial sensor data.
Entong Tian +4 more
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Quantized Output Observer-based Data Driven Model-free Adaptive Control
Journal of Applied Science and Engineering, 2023 This paper studies the quantized output data observer based data-driven model-free adaptive control(qMFAC) for discrete-time nonlinear systems with unknown structures and network transmission constraints.
Bing Ren, Guangqing Bao
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Data-driven modeling of impedance biosensors: A subspace approach [PDF]
, 2021 A data-driven scheme for modeling electrical impedance in biosensors is presented by a subspace method working with the singular value decomposition of structured voltage and current data. Contrary to the classical electrical impedance spectroscopy (EIS)
Schoukens, Maarten +4 more
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Data-driven control: A behavioral approach [PDF]
Systems & Control Letters, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Thabiso M. Maupong, Paolo Rapisarda
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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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