Results 11 to 20 of about 34,675,582 (259)
Towards data-driven stochastic predictive control [PDF]
, 2023 Data-driven predictive control based on the fundamental lemma by Willems et al. is frequently considered for deterministic LTI systems subject to measurement noise. However, little has been done on data-driven stochastic control.
Ou, Ruchuan +2 more
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Data-driven adaptive model-based predictive control with application in wastewater systems [PDF]
, 2011 This study is concerned with the development of a new data-driven adaptive model-based predictive controller (MBPC) with input constraints. The proposed methods employ subspace identification technique and a singular value decomposition (SVD)-based ...
Katebi, M.R. +3 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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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 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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Loewner-based Data-driven Iterative Structured Control Design
, 2021 Stability enforcement remains a challenge in data-driven control paradigms, where no parametrised model of the system is available. In the Loewner Data-Driven Control framework (L-DDC) [1] for instance, the system's instabilities are estimated in order ...
Vuillemin, Pierre, +3 more
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Model Reference Gaussian Process Regression: Data-Driven State Feedback Controller
IEEE Access, 2023 This paper proposes a data-driven state feedback controller that enables reference tracking for nonlinear discrete-time systems. The controller is designed based on the identified inverse model of the system and a given reference model, assuming that the
Hyuntae Kim, Hamin Chang
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Data-Driven Control: theory and applications [PDF]
, 2022 openLo scopo di questa tesi è studiare le tecniche di Data-Driven Control, in particolare viene studiato il problema di controllo attraverso il Data Driven Predictve Control.
OLIVIERO, ALESSANDRA
core
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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