Results 141 to 150 of about 1,084,598 (183)
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On identification methods for direct data‐driven controller tuning
International Journal of Adaptive Control and Signal Processing, 2010AbstractIn non‐iterative data‐driven controller tuning, a set of measured input/output data of the plant is used directly to identify the optimal controller that minimizes some control criterion. This approach allows the design of fixed‐order controllers, but leads to an identification problem where the input is affected by noise, and not the output as
van Heusden, Klaske +2 more
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Direct Data-Driven Control for Discrete-Time Linear Systems Under Stochastic Faults
IEEE Transactions on Automation Science and EngineeringThis work investigates the problem of direct data-driven control (DDC) for linear systems under stochastic sensor/actuator faults. A fault model obeying Markov chain is firstly constructed to capture the random characteristic of various possible sensor ...
Ning Zhang, Yugang Niu, Bei Chen
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An H∞ method to design the reference model in direct data-driven control design
IEEE Conference on Decision and Control, 2020As far as direct data-driven design is concerned, no matter the design approach to be exploited, the objective of the control problem is to make the closed-loop system to match, as close as possible, the behavior of an assigned reference model M. In this
V. Cerone, M. Abuabiah, D. Regruto
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Adversarial Attack using Projected Gradient Method to Direct Data-Driven Control
Conference on Control Technology and ApplicationsIn this paper, we propose a new algorithm for adversarial attacks to direct data-driven control. In direct data-driven control, the controller is directly designed from input-output data of the system to be controlled without system identification ...
Taira Kaminaga, Hampei Sasahara
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IEEE International Conference on Advanced Intelligent Mechatronics
In industrial positioning systems where rapid response and high-precision are crucial, minor model inaccuracies due to unknown dynamics and identification errors in controller design significantly impede achieving desired positioning accuracy. This paper
Daigo Yamaguchi +2 more
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In industrial positioning systems where rapid response and high-precision are crucial, minor model inaccuracies due to unknown dynamics and identification errors in controller design significantly impede achieving desired positioning accuracy. This paper
Daigo Yamaguchi +2 more
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Direct Data-Driven Tracking Control for Nonlinear Marine Vehicles
IEEE Transactions on Intelligent VehiclesThis paper addresses the tracking control problem of nonlinear fully-actuated/under-actuated marine vehicles (MVs) with unknown disturbances by establishing a novel direct data-driven control framework.
Jinjiang Li 0004 +2 more
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Data-driven techniques for direct adaptive control: the lazy and the fuzzy approaches [PDF]
Fuzzy Sets and Systems, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Edy Bertolissi +4 more
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A new method of direct data-driven predictive controller design
2013 9th Asian Control Conference (ASCC), 2013In this paper, we try to find a direct path between data and predictive controller. A straightforward data-driven predictive controller for the linear multivariable systems is proposed, without identifying any representation of the system in an intermediate step.
Hua Yang, Shaoyuan Li
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Direct data-driven recursive controller unfalsification with analytic update
Automatica, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jeroen van Helvoort +2 more
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