Zobrazeno 1 - 10
of 54
pro vyhledávání: '"D. A. Linkens"'
Autor:
M Mahfouf, D. A. Linkens
Predictive control is a powerful tool in dealing with those processes with large time delays. Generalized Predictive Control GPC is the most popular approach to the subject, and this text discusses the application of GPC starting with the concept of
The Role of Intelligence in Systems Engineering ( ‘Render Unto Caesar the things That are Caesar's’)
Autor:
D A Linkens
Publikováno v:
Measurement + Control, Vol 26 (1993)
Externí odkaz:
https://doaj.org/article/1d0d18cb495b4173b13b8fc372dab136
Publikováno v:
Materials Science and Technology. 20:627-633
The influence of chemical composition and thermomechanical processing parameters on the Charpy impact energy of grade 420/460 TMCR (thermomechanically controlled rolled) steels was investigated using fuzzy modelling technology. Fuzzy modelling was ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc17719544d1ea71976ce032f68b2ff5
https://doi.org/10.1179/026708304225016734
https://doi.org/10.1179/026708304225016734
Autor:
Minyou Chen, D. A. Linkens
Publikováno v:
International Journal of Intelligent Systems. 12:359-377
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf9a261c55ff8450ac5144829d70d98c
https://doi.org/10.1002/(sici)1098-111x(199705)12:5<359::aid-int1>3.3.co
https://doi.org/10.1002/(sici)1098-111x(199705)12:5<359::aid-int1>3.3.co
Publikováno v:
British Journal of Anaesthesia. 78:412-415
We have assessed the performance of a "self-learning" fuzzy logic controller to administer atracurium to a required depth of neuromuscular block. We studied 20 ASA I and II patients undergoing surgery anticipated to last longer than 90 min. A Datex R
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb72a85fa7ecf39093e30030c5b9f10b
https://doi.org/10.1093/bja/78.4.412
https://doi.org/10.1093/bja/78.4.412
Autor:
D. A. Linkens, Junhong Nie
Publikováno v:
Automatica. 30:655-664
The Albus's Cerebellar Model Articulation Controller (CMAC) network has been used in many practical areas with considerable success. This paper presents a fuzzified CMAC network (FCMAC) acting as a multivariable adaptive controller with the feature o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfb7fd49040e218a6b28b8ec541b9d90
https://doi.org/10.1016/0005-1098(94)90154-6
https://doi.org/10.1016/0005-1098(94)90154-6
Autor:
D A Linkens
Publikováno v:
Measurement + Control, Vol 26 (1993)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::277b6b12886f0c3e475666e1c89703de
https://doi.org/10.1177/002029409302600801
https://doi.org/10.1177/002029409302600801
Autor:
Junhong Nie, D. A. Linkens
Publikováno v:
IEEE Transactions on Fuzzy Systems. 1:280-287
This note describes an approach to integrating fuzzy reasoning systems with radial basis function (RBF) networks and shows how the integrated network can be employed as a multivariable self-organizing and self-learning fuzzy controller. In particular
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::157a79db2edacb4975e9ff4a6ec97492
https://doi.org/10.1109/91.251928
https://doi.org/10.1109/91.251928
Autor:
Junhong Nie, D. A. Linkens
Publikováno v:
International Journal of Systems Science. 24:111-127
A novel method is presented capable of constructing rule-bases via self-learning for the use of fuzzy controllers. The controlled process is assumed to be a multivariable system with strong interaction within variables and with pure time delays in co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a3422c7cf2eb15cf50d57642b41f45c
https://doi.org/10.1080/00207729308949475
https://doi.org/10.1080/00207729308949475
Autor:
Junhong Nie, D. A. Linkens
Publikováno v:
International Journal of Systems Science. 24:129-157
While the first part of this paper was concerned primarily with the issues of system structure and associated learning control laws, the second part presents a methodology for constructing the rule-base from learned data. The approach, based on a sim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9d158a86c4cc77fc0876bdec3933c7e
https://doi.org/10.1080/00207729308949476
https://doi.org/10.1080/00207729308949476