Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Bruce Postlethwaite"'
Autor:
Bruce Postlethwaite
Publikováno v:
2016 UKACC 11th International Conference on Control (CONTROL).
PISim is a new piece of software that is being developed to support teaching and learning in process control. The ideas behind PISim are discussed and the results of two tests of the alpha build (with industrial participants and as part of a schedule
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6d0f359345faf0a68b4171d2c509662
https://doi.org/10.1109/control.2016.7737576
https://doi.org/10.1109/control.2016.7737576
Autor:
Bruce Postlethwaite
Publikováno v:
ACC
American Control Conferece, Boston
American Control Conferece, Boston
PISim is a new piece of software for process control teaching and learning. The software allows control structures to be designed on a piping and instrumentation diagram and, as the structure is created, the software automatically spawns device mimic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a56e9172e0f70571fde108491d0b6838
https://doi.org/10.1109/acc.2016.7526829
https://doi.org/10.1109/acc.2016.7526829
Autor:
Bruce Postlethwaite, Christoph Sing
Publikováno v:
Chemical Engineering Research and Design. 78:522-527
A wide range of algorithms for Fuzzy Relational Model (FRM) identification from process data have been developed over the last decade. It has been shown that the use of multi-variable optimization methods to establish the strengths of fuzzy relations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5df510ce29930f3f63dd742ec227e162
https://doi.org/10.1205/026387600527662
https://doi.org/10.1205/026387600527662
Autor:
Bruce Postlethwaite, Craig R. Edgar
Publikováno v:
Chemical Engineering Research and Design. 78:557-564
Fuzzy model-based controllers offer a means of controlling non-linear MIMO systems. The main problem with implementing these systems is that the normal model formulations become increasingly difficult to invert as the number of controlled outputs inc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15d62b1e75bb9508408cc81dc5ebc8e4
https://doi.org/10.1205/026387600527707
https://doi.org/10.1205/026387600527707
Autor:
Bruce Postlethwaite, B. Kelkar
Publikováno v:
Fuzzy Sets and Systems. 100:117-129
A promising area of research in fuzzy control is the model-based fuzzy controller. At the heart of this approach is a fuzzy relational model of the process to be controlled. Since this model is identified directly from process input-output data it is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ab6723293adf21f541d37bf5ac4bb7d
https://doi.org/10.1016/s0165-0114(97)00045-6
https://doi.org/10.1016/s0165-0114(97)00045-6
Autor:
Bruce Postlethwaite, Christoph Sing
Publikováno v:
IEE Proceedings - Control Theory and Applications. 144:263-268
The application of fuzzy logic to the design of nonlinear controllers has become increasingly popular in recent years. Most of the developments have been in controllers of the rule-based type. An alternative approach, and one which reflects trends in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7443c603d4f9bab8a4f81d9c41ed86ae
https://doi.org/10.1049/ip-cta:19971139
https://doi.org/10.1049/ip-cta:19971139
Publikováno v:
Chemical Engineering Research and Design. 75:453-458
Fuzzy relational modelling is a 'grey-box' method of modelling complicated, non-linear, systems directly from input-output data. Conventional methods of relational model identification, which rely on arguments based on set theory, are very fast, but
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07e6d0efbca5c3890c696a6b7d3fe476
https://doi.org/10.1205/026387697523804
https://doi.org/10.1205/026387697523804
Autor:
Bruce Postlethwaite
Publikováno v:
Fuzzy Sets and Systems. 79:3-13
A new form of fuzzy model-based controller is introduced. The new controller is based on a conventional predictive controller design, but utilises a fuzzy relational model. The controller is described and compared with existing fuzzy controllers. Pra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::580f88b9d35000132e5a00cd1c7ab338
https://doi.org/10.1016/0165-0114(95)00287-1
https://doi.org/10.1016/0165-0114(95)00287-1
Autor:
Bruce Postlethwaite
Publikováno v:
International Journal of Robust and Nonlinear Control. 14:1079-1081
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34a0c73de55abb2c26ad31ec595db0e3
https://doi.org/10.1002/rnc.882
https://doi.org/10.1002/rnc.882
Autor:
Bruce Postlethwaite, H. Bremner
Publikováno v:
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.
A fuzzy logic control system for difficult nonlinear processes has been developed at Strathclyde University. This controller is structured in a very similar manner to the standard internal model control design, differing only from the conventional sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2f1746f1ddfa9510bbc53689632afcc
https://doi.org/10.1109/fuzzy.1994.343727
https://doi.org/10.1109/fuzzy.1994.343727