Results 21 to 30 of about 1,348,659 (266)
SoftwareX, 2020 In this paper, the pyvrft, a Python package for the data-driven control method known as Virtual Reference Feedback Tuning (VRFT), is presented. Virtual Reference Feedback Tuning is a control design technique that does not use a mathematical model from ...
Emerson Boeira, Diego Eckhard
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Data-Driven Robust Control Using Reinforcement Learning
Applied Sciences, 2022 This paper proposes a robust control design method using reinforcement learning for controlling partially-unknown dynamical systems under uncertain conditions.
Phuong D. Ngo +2 more
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Data Driven Strategy for Linear Parameter Varying Control Design
IEEE Access, 2022 In this paper, we propose a novel data driven strategy framework for linear parameter varying closed loop system which consists of linear parameter varying system and linear parameter varying controller simultaneously.
Wang Jianhong +2 more
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Data Driven Economic Model Predictive Control
Mathematics, 2018 This manuscript addresses the problem of data driven model based economic model predictive control (MPC) design. To this end, first, a data-driven Lyapunov-based MPC is designed, and shown to be capable of stabilizing a system at an unstable equilibrium ...
Masoud Kheradmandi, Prashant Mhaskar
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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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Distributed Data-Driven Control of Network Systems
IEEE Open Journal of Control Systems, 2023 Imperfect models lead to imperfect controllers and deriving accurate models from first principles or system identification is especially challenging in networked systems.
Federico Celi +2 more
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Data driven tuning of inventory controllers
2007 46th IEEE Conference on Decision and Control, 2007 A systematic method for criterion based tuning of inventory controllers based on data-driven iterative feedback tuning is presented. This tuning method circumvent problems with modeling bias. The process model used for the design of the inventory control is utilized in the tuning as an approximation to reduce time required on experiments. The method is
Jakob Kjøbsted Huusom +3 more
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Formulas for Data-Driven Control: Stabilization, Optimality, and Robustness [PDF]
IEEE Transactions on Automatic Control, 2020 Revised version of the paper "On Persistency of Excitation and Formulas for Data-driven Control". Abridged version to appear in the 58th IEEE Conference on Decision and Control, Nice, France, 2019.
Claudio De Persis, Pietro Tesi
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Data-Driven Nonlinear Iterative Inversion Suspension Control
Actuators, 2023 The commercial operation of the maglev train has strict requirements for the reliability and safety of the suspension control system. However, due to a large number of unmodeled dynamics of the suspension system, it is difficult to obtain the precise ...
Tao Wen +3 more
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Data-Driven Control Algorithm for Snake Manipulator
Applied Sciences, 2021 In some environments where manual work cannot be carried out, snake manipulators are instead used to improve the level of automatic work and ensure personal safety. However, the structure of the snake manipulator is diverse, which renders it difficult to
Kai Hu +6 more
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