Zobrazeno 1 - 10
of 2 641
pro vyhledávání: '"Data-driven control"'
Publikováno v:
SICE Journal of Control, Measurement, and System Integration, Vol 17, Iss 1, Pp 247-255 (2024)
Model-based control methods play an important role in control theory. Such controllers are designed via system identification; however, this approach is not applicable to cases where it is difficult to execute system identification owing to the large
Externí odkaz:
https://doaj.org/article/93bd8349837d4809a969f516af503486
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract This paper addresses the energy management control problem of solar power generation system by using the data-driven method. The battery-supercapacitor hybrid energy storage system is considered to smooth the power fluctuation. A new model-f
Externí odkaz:
https://doaj.org/article/e8a6493349d444578adaf1ce104384af
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract This paper studies the consensus problem for a class of unknown heterogeneous nonlinear multi-agent systems via a network with random packet dropouts. Based on the dynamic linearization technique, novel model-free adaptive consensus protocol
Externí odkaz:
https://doaj.org/article/f29608c584ad4710b8333e2b9844ca1e
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 103357- (2024)
This research introduces the improved Archimedes optimization algorithm (IAOA) for data-driven modeling of continuous-time Hammerstein models with missing data. It addresses the limitations of the original Archimedes optimization algorithm (AOA) thro
Externí odkaz:
https://doaj.org/article/57226f0216fa4713a3d1f163de2204ed
Autor:
Tabassum Rasul, Koena Mukherjee
Publikováno v:
Journal of Eta Maritime Science, Vol 12, Iss 2, Pp 144-155 (2024)
This paper showcases a data-driven non-linear adaptive controller design employing an unfalsification approach to attain optimal estimates for unknown parameters in an autonomous underwater vehicle (AUV). These estimates are applied to the controller
Externí odkaz:
https://doaj.org/article/0519c197bc9e4c339fb47be55d9b2890
Publikováno v:
IET Control Theory & Applications, Vol 18, Iss 7, Pp 939-950 (2024)
Abstract This paper introduces a novel data‐driven approach to develop a fault‐tolerant model predictive controller (MPC) for non‐linear systems. By adopting a Koopman operator‐theoretic perspective, the proposed method leverages historical d
Externí odkaz:
https://doaj.org/article/30bcdba9bcef4b1fb39073f402b73969
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 19, Iss 1, Pp 280-289 (2024)
ObjectiveThis paper aims to investigate the complex influence of environmental disturbances on unmanned surface vehicles (USVs) under real ocean conditions, and control USVs to overcome disturbances and realize path following. MethodsAn improved acti
Externí odkaz:
https://doaj.org/article/1ca85e5ec436453eb9977499051594e7
Autor:
Dimitri Mahayana
Publikováno v:
IEEE Access, Vol 12, Pp 177896-177910 (2024)
This study introduces a novel approach to spacecraft attitude control by employing Support Vector Regression (SVR) as the underlying data-driven controller. Given the inherent nonlinearity of spacecraft dynamics, traditional control design approaches
Externí odkaz:
https://doaj.org/article/5c365bcae8fd47b4916c9c70f33c19c8
Autor:
Shuichi Yahagi, Itsuro Kajiwara
Publikováno v:
IEEE Access, Vol 12, Pp 147882-147893 (2024)
This paper presents a one-shot data-driven design method for obtaining parameters of both a feedback controller and a reference model, which achieve a fast response while satisfying the user-defined model-matching error, using only single-experiment
Externí odkaz:
https://doaj.org/article/5ab4f420dbeb4b89b1bf501ed749bec4
Autor:
Gianfranco Parlangeli
Publikováno v:
IEEE Access, Vol 12, Pp 71970-71981 (2024)
In this paper, a novel approach for finite-time average consensus within a prescribed time is introduced and explored for a multi-agent system running ordinary nearest-neighbor protocols. Differently from the available approaches of finite-time conse
Externí odkaz:
https://doaj.org/article/93bad90239364ad6913128bc956b8736