Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Tzong-Jiy Tsai"'
Autor:
Tzong-Jiy Tsai, 蔡宗吉
94
In this dissertation, the finite-time/infinite-time optimal/suboptimal hybrid tracking control problems for analog neutral systems with multiple discrete and distributed time delays are formatted and studied. In order to solve the tracking co
In this dissertation, the finite-time/infinite-time optimal/suboptimal hybrid tracking control problems for analog neutral systems with multiple discrete and distributed time delays are formatted and studied. In order to solve the tracking co
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/82031457665182759008
Autor:
Sheng-Ying Lai, Leang-San Shieh, Ying-Ting Liao, Te-Jen Su, Shu-Mei Guo, Tzong-Jiy Tsai, Faezeh Ebrahimzadeh, Jason Sheng Hong Tsai
Publikováno v:
International Journal of Systems Science. 48:1438-1459
Based on the proportional-integral-derivative PID filter-shaping approach, this paper presents a new proportional-plus-integral PI optimal linear quadratic state estimator LQSE for the continuous-time non-square and non-minimum phase NMP multivariabl
Autor:
Shu-Mei Guo, Jason Sheng Hong Tsai, Leang-San Shieh, Yau-Tarng Juang, Guo-Zhen He, Yun-You Lin, Tzong-Jiy Tsai
Publikováno v:
ISIE
The designs of optimal linear quadratic estimator and tracker for the linear continuous-time systems with unknown disturbances have been improved in this paper. Compared with the advanced robust control design methodologies developed in the literatur
Publikováno v:
Optimal Control Applications and Methods. 36:729-749
SUMMARY Realization of causal current output-based optimal full/reduced-order observer and tracker for the linear sampled-data system with a direct transmission term from input to output is proposed in this paper. First, a high-gain optimal linear qu
Autor:
Tsai, Jason Sheng-Hong, Faezeh Ebrahimzadeh, Min-Ching Chung, Guo, Shu-Mei, Leang-San Shieh, Tzong-Jiy Tsai, Wang, Li
In this paper, we first construct a new state and disturbance estimator using discrete-time proportional plus integral observer to estimate the system state and the unknown external disturbance for the discrete-time system with an input-to-output dir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77629e0832481f769f7a6a48a46827e8
Publikováno v:
RVSP
An intelligent control of the automated highway system for the guidance of four wheeled vehicles is proposed. The control objective is to find one control law that can automatically guide the new-generation smart vehicles when driving in the highway
Publikováno v:
2009 IEEE International Conference on Control and Automation.
In this paper, a novel intelligent-based fault tolerant control (FTC) framework is proposed to solve the fault tolerant tracking control problem for unknown nonlinear multi-input multi-output (MIMO) systems. To eliminate the effect of faults, a neura
Publikováno v:
2009 International Conference on Networking, Sensing and Control.
A new method for design of a classification system using the feature extraction and evolutionary programming (EP) are discussed. In this paper, a neuro-fuzzy classification model (NFCM) is proposed. The optimal fuzzy membership functions of the NFCM
Publikováno v:
2009 Second International Symposium on Knowledge Acquisition and Modeling.
In this manuscript, we present a novel method to solve Lorenz chaos problem. As we known, the traditional fuzzy logic control method, it spends a lot of time to determine the membership functions and fuzzy if-then rules by trial-and-error tuning. To
Publikováno v:
2008 IEEE Conference on Soft Computing in Industrial Applications.
The problem of the data analysis and the pattern recognition, searching the relationship between the feature variables of a database and inferred results are special important. In this paper, a fuzzy classification model is established to solve the c