Koninklijke Bibliotheek, National Library of the NetherlandsIP1343504751919.1
d5bbb498212594f8e7cf3cb747fc5019
Academy & Industry Research Collaboration Center (AIRCC)
International Journal of Artificial Intelligence & Applications
09762191
0975900X
2011-05-07
2
2
1
19
Dynamic Focusing of Awareness in Fuzzy Control Systems
Ognjen Kuljaca
Frank L. Lewis
Jyotirmay Gadewadikar
Krunoslav Horvat
Adaptive fuzzy logic control systems with Gaussian membership functions are described. A systematicsimulation study of 'dynamic focusing of awareness' in fuzzy logic control systems is provided. This studyshows how the final steady-state values of the membership functions change in response to varying initialmembership functions, changing desired trajectory, and varying system nonlinearities. It is shown thatthe fuzzy logic control system is focusing on a different region of the state-space depending on thesevarying factors. Conclusions on higher-level behaviour of the fuzzy logic control system are drawn. Astability proof is given.
http://airccse.org/journal/ijaia/papers/0411ijaia01.pdf
Fuzzy Logic
Nonlinear Control
Adaptive Systems
]]>
d5bbb498212594f8e7cf3cb747fc5019
Academy & Industry Research Collaboration Center (AIRCC)
International Journal of Artificial Intelligence & Applications
09762191
0975900X
2011-05-07
2
2
1
19
Dynamic Focusing of Awareness in Fuzzy Control Systems
Ognjen Kuljaca
Frank L. Lewis
Jyotirmay Gadewadikar
Krunoslav Horvat
Adaptive fuzzy logic control systems with Gaussian membership functions are described. A systematicsimulation study of 'dynamic focusing of awareness' in fuzzy logic control systems is provided. This studyshows how the final steady-state values of the membership functions change in response to varying initialmembership functions, changing desired trajectory, and varying system nonlinearities. It is shown thatthe fuzzy logic control system is focusing on a different region of the state-space depending on thesevarying factors. Conclusions on higher-level behaviour of the fuzzy logic control system are drawn. Astability proof is given.
http://airccse.org/journal/ijaia/papers/0411ijaia01.pdf
Fuzzy Logic
Nonlinear Control
Adaptive Systems
09762191-20110708-134455.zipd5bbb498212594f8e7cf3cb747fc5019.pdfPDF1.4
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