Zobrazeno 1 - 10
of 376
pro vyhledávání: '"Toshiharu SUGIE"'
Autor:
Ichiro Maruta, Toshiharu Sugie
Publikováno v:
IEEE Access, Vol 10, Pp 21412-21423 (2022)
This paper provides a subspace method for closed-loop identification, which clearly specifies the model order from noisy measurement data. The method can handle long I/O data of the target system to be noise-tolerant and determine the model order via
Externí odkaz:
https://doaj.org/article/12633febfc3846b2a15443971033596e
Autor:
Ichiro Maruta, Toshiharu Sugie
Publikováno v:
IEEE Access, Vol 9, Pp 31441-31453 (2021)
In this paper, we propose a simple framework for closed-loop system identification: the stabilized output error method. Traditional closed-loop system identification methods rely on the linearity of the target system, and they require the identificat
Externí odkaz:
https://doaj.org/article/27df6a3363d649779a58d6b245ea5320
Publikováno v:
IEEE Access, Vol 8, Pp 124172-124184 (2020)
This paper presents networked controllers for the coordination of multi-robot systems, inspired by the chemotaxis of bacteria. Chemotaxis is a biological phenomenon wherein each organism senses the concentration of a chemical in its environment and m
Externí odkaz:
https://doaj.org/article/062c9bfce3a94226b55e85dc9e9e0b22
Publikováno v:
IEEE Access, Vol 8, Pp 34909-34918 (2020)
This study attempts to analyze and design multi-agent systems in the spatial frequency domain and demonstrates that the spatial frequency-based approach is useful for distributed spatial filtering in sensor networks. First, we take the consensus of m
Externí odkaz:
https://doaj.org/article/713c43905c424d12bf08a5f0d2298ca9
Publikováno v:
SICE Journal of Control, Measurement, and System Integration, Vol 11, Iss 3, Pp 214-220 (2018)
This paper proposes an input design method for identification of linear-parameter-varying (LPV) systems. In particular, this paper focuses on the Bayesian estimation of LPV systems, especially the impulse responses of LPV systems at the scheduling va
Externí odkaz:
https://doaj.org/article/375f319c9040433d83363d8d2ce2fccd
Publikováno v:
Energies, Vol 7, Iss 9, Pp 5624-5646 (2014)
This paper provides a model-free approach based on the Multi-Resolution Simultaneous Perturbation Stochastic Approximation (MR-SPSA) for maximizing power production of wind farms. The main advantage is that the method based on MR-SPSA can achieve fas
Externí odkaz:
https://doaj.org/article/a264896961314168ac6659d23389a224
Publikováno v:
Transactions of the Society of Instrument and Control Engineers. 58:412-419
Publikováno v:
Transactions of the Society of Instrument and Control Engineers. 57:463-469
Autor:
Toshiharu Sugie, Ichiro Maruta
Publikováno v:
IEEE Access, Vol 9, Pp 31441-31453 (2021)
In this paper, we propose a simple framework for closed-loop system identification: the stabilized output error method. Traditional closed-loop system identification methods rely on the linearity of the target system, and they require the identificat
Publikováno v:
Transactions of the Society of Instrument and Control Engineers. 56:327-332