A Fuzzy Control Heuristic Applied to Non-linear Dynamic System Using a Fuzzy Knowledge Representation
نویسندگان
چکیده
منابع مشابه
a new type-ii fuzzy logic based controller for non-linear dynamical systems with application to 3-psp parallel robot
abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...
15 صفحه اولKnowledge Representation using Fuzzy Ontologies – A Review
-Fuzzy ontologies are able to deal with imprecise and vague knowledge using fuzzy sets and its relations. Ontologies are currently emerging as a powerful knowledge representation technique on the semantic web. However, it doesn’t have an ability to represent the fuzzy information as well as the uncertainty. This survey aims at giving a brief and comprehensible overview of the research direction...
متن کاملPredictive Control Using Fuzzy Models Applied to a
Fuzzy control systems and predictive control techniques has been widely accepted for industrial applications. Fuzzy modeling has received particular attention with in the industry and the nance sectors due to the qualitative insight about the behaviour of the modeled process. Predictive control had been focused on linear systems and time variant linear systems (Adaptive Predictive Control). The...
متن کاملA method for solving fully fuzzy linear system
In this paper, a numerical method for nding minimal solution of a mn fullyfuzzy linear system of the form Ax = b based on pseudo inverse calculation,is given when the central matrix of coecients is row full rank or column fullrank, and where A~ is a non-negative fuzzy mn matrix, the unknown vectorx is a vector consisting of n non-negative fuzzy numbers and the constant b isa vector consisting o...
متن کاملNovel Hybrid Fuzzy-Evolutionary Algorithms for Optimization of a Fuzzy Expert System Applied to Dust Phenomenon Forecasting Problem
Nowadays, dust phenomenon is one of the important challenges in warm and dry areas. Forecasting the phenomenon before its occurrence helps to take precautionary steps to prevent its consequences. Fuzzy expert systems capabilities have been taken into account to assist and cope with the uncertainty associated to complex environments such as dust forecasting problem. This paper presents novel hyb...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computers Communications & Control
سال: 2010
ISSN: 1841-9836,1841-9836
DOI: 10.15837/ijccc.2010.5.2222