Results 21 to 30 of about 3,837,082 (288)
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 via Petersen’s lemma
Automatica, 2022 We address the problem of designing a stabilizing closed-loop control law directly from input and state measurements collected in an open-loop experiment. In the presence of noise in data, we have that a set of dynamics could have generated the collected data and we need the designed controller to stabilize such set of data-consistent dynamics robustly.
Andrea Bisoffi +2 more
openaire +6 more sources
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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The limitations of speech control: perceptions of provision of speech-driven environmental controls [PDF]
, 2011 This study set out to collect data from assistive technology professionals about their provision of speech-driven environmental control systems. This study is part of a larger study looking at developing a new speech-driven environmental control ...
Craig A +5 more
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Controller Implementability: A Data-Driven Approach
2023 62nd IEEE Conference on Decision and Control (CDC), 2023 ISBN:979-8-3503-0124 ...
Padoan, Alberto +2 more
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Data-driven control design for neuroprotheses: a virtual reference feedback tuning (VRFT) approach [PDF]
, 2004 This paper deals with design of feedback controllers for knee joint movement of paraplegics using functional electrical stimulation (FES) of the paralyzed quadriceps muscle group.
Hunt, K.J. +3 more
core +1 more source
Towards data‐driven stochastic predictive control
International Journal of Robust and Nonlinear Control, 2023 SummaryData‐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. In this paper, we propose a data‐driven stochastic predictive control scheme for LTI systems subject to possibly ...
Guanru Pan, Ruchuan Ou, Timm Faulwasser
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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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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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