Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Shun-Hung Tsai"'
Publikováno v:
IEEE Access, Vol 7, Pp 130700-130706 (2019)
This work deals with the containment control problem of multi-agent networks with different fractional-order dynamics under bounded communication delays. Unlike most existing work, we analyze this problem from a positive system viewpoint. For the cas
Externí odkaz:
https://doaj.org/article/7b0a1606211e4c43bfd35f3300c47c47
Autor:
Shun-Hung Tsai, Yu-Wen Chen
Publikováno v:
IEEE Access, Vol 4, Pp 3747-3756 (2016)
In this paper, an identification problem for nonlinear models is explored and a novel fuzzy identification method based on the ant colony optimization algorithm is proposed. First, a modified cluster validity criterion with a fuzzy c-regression model
Externí odkaz:
https://doaj.org/article/35e6e1780be74f5dbce4e7e6e32b030f
Publikováno v:
Sensors, Vol 20, Iss 24, p 7055 (2020)
In this paper, a detail design procedure of the real-time trajectory tracking for the nonholonomic wheeled mobile robot (NWMR) is proposed. A 9-axis micro electro-mechanical systems (MEMS) inertial measurement unit (IMU) sensor is used to measure the
Externí odkaz:
https://doaj.org/article/c32ad0ff431f4ffbbcfc3cbe37b85f88
Publikováno v:
CAAI Transactions on Intelligence Technology (2018)
An adaptive proportional–integral–derivative (PID) controller based on Q-learning algorithm is proposed to balance the cart–pole system in simulation environment. This controller was trained using Q-learning algorithm and implemented the learne
Externí odkaz:
https://doaj.org/article/8ea3bd46359143dd9845c5db52cac2cf
Publikováno v:
Advances in Mechanical Engineering, Vol 10 (2018)
In this article, a set of fuzzy logic controller is alternatively designed for control of nonlinear systems in Lyapunov sense. Through referencing the statuses of error states and error dynamics, the corresponding fuzzy if–then rules can be constru
Externí odkaz:
https://doaj.org/article/338158b92a4f4adf8e39227583294437
Publikováno v:
Complexity, Vol 2017 (2017)
In this paper, a novel fuzzy-model-based adaptive synchronization scheme and its fuzzy update laws of parameters are proposed to address the adaptive synchronization problem. The proposed fuzzy controller does not share the same premise of fuzzy syst
Externí odkaz:
https://doaj.org/article/511b99b2acd84ab8ad9ed9ecdb4cd56c
Autor:
Shun-Hung Tsai, 蔡舜宏
96
This dissertation explores the modeling approach, controller design, and the stability analysis for fuzzy bilinear systems (FBSs) and discrete fuzzy bilinear systems (DFBSs). By examination of the modeling problem, this dissertation describes
This dissertation explores the modeling approach, controller design, and the stability analysis for fuzzy bilinear systems (FBSs) and discrete fuzzy bilinear systems (DFBSs). By examination of the modeling problem, this dissertation describes
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/45848609983973805786
Autor:
Shun-Hung Tsai, 蔡舜宏
89
In this thesis, we explore how to achieve the modeling and controller design for fuzzy bilinear system. First, we describe how to transform a nonlinear system to a bilinear system via Taylor Expansion. Applying the concept of Takagi-Sugeno mo
In this thesis, we explore how to achieve the modeling and controller design for fuzzy bilinear system. First, we describe how to transform a nonlinear system to a bilinear system via Taylor Expansion. Applying the concept of Takagi-Sugeno mo
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/32463986228794208137
Autor:
Shun-Hung Tsai, Yi-Ting Chen
Publikováno v:
International Journal of Fuzzy Systems. 25:136-144
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d35ddf88dd7c0751bcfc5801e8f70bd4
https://doi.org/10.1007/s40815-022-01366-0
https://doi.org/10.1007/s40815-022-01366-0
Autor:
Shun-Hung Tsai, Yu-Wen Chen
Publikováno v:
IEEE Transactions on Cybernetics. 52:9834-9845
In this article, a novel interval type-2 Takagi-Sugeno fuzzy c -regression modeling method with a modified distance definition is proposed. The modified distance definition is developed to describe the distance between each data point and the local t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcfede2dd9a3f1f88f1edb6522f9fcaa
https://doi.org/10.1109/tcyb.2021.3072851
https://doi.org/10.1109/tcyb.2021.3072851