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Autor:
N K Arun
Publikováno v:
2020 IEEE Applied Signal Processing Conference (ASPCON).
This paper deals with analytical modelling of Mamdani type fuzzy PI or PD controller using Algebraic Sum (AS) OR operation. Smallest possible number of fuzzy sets (four input fuzzy sets and three output fuzzy sets) are chosen. L - type, Pi - type and
Publikováno v:
IFSA-SCIS
Bilevel linear programming (BLP) is a solution method for linear optimization problem with two sequential decision steps of the leader and the follower. In this paper, we assume that the follower's objective function is imprecise and can be represent
Publikováno v:
2017 5th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS).
A precise flow control of Chlorine in an industrial Chloroacetic acid production line is essentially important for the safety and quality of the production. Due to the time variability properties and non-linear characteristics of the system, an enhan
Autor:
Larisa A. Ginis, Svetlana P. Vovk
Publikováno v:
2016 13th International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE).
The article is concerned the approach modeling a possibility of global purpose (a reference situation) achievement in the conditions of uncertainty for some organizational system is offered. The system is described by situational model. The problem i
Autor:
Margarita Terziyska, Yancho Todorov
Publikováno v:
IEEE Conf. on Intelligent Systems
Terziyska, M & Todorov, Y 2016, Intuitionistic Neo-Fuzzy predictive control . in V Sgurev, R Yager, M Hadjiski & V Jotsov (eds), 2016 IEEE 8th International Conference on Intelligent Systems, IS 2016 ., 7737494, IEEE Institute of Electrical and Electronic Engineers, pp. 635-640, 8th IEEE International Conference on Intelligent Systems, IS 2016, Sofia, Bulgaria, 4/09/16 . https://doi.org/10.1109/IS.2016.7737494
Terziyska, M & Todorov, Y 2016, Intuitionistic Neo-Fuzzy predictive control . in V Sgurev, R Yager, M Hadjiski & V Jotsov (eds), 2016 IEEE 8th International Conference on Intelligent Systems, IS 2016 ., 7737494, IEEE Institute of Electrical and Electronic Engineers, pp. 635-640, 8th IEEE International Conference on Intelligent Systems, IS 2016, Sofia, Bulgaria, 4/09/16 . https://doi.org/10.1109/IS.2016.7737494
This paper presents an implicit predictive control strategy based on Intuitionistic Neo-Fuzzy predictor, as a first attempt to investigate the potentials of the intuitionistic fuzzy logic for the purpose of control applications. The proposed predicto
Publikováno v:
2016 3rd International Conference on Electrical Engineering and Information Communication Technology (ICEEICT).
This paper presents optimization technique to develop type-2 fuzzy systems (FSs) through hybrid genetic algorithms (HGAs). The proposed optimization technique works as follows: (i) Optimize the type-2 membership functions (ii) Learn the rule base thr
Publikováno v:
2016 IEEE Students’ Technology Symposium (TechSym).
This paper reveals a new mathematical model of the simplest fuzzy PID controller which employs two fuzzy sets (negative and positive) on each of the three input variables (error, change in error and double change in error) and four fuzzy sets (−2,
Publikováno v:
SISY
Evaluation of fuzzy quantities is a contemporary issue that often appears in the process of modeling uncertainty. Some of the well-known approaches are based on the integration done with respect to the probability measure, while the approach presente
Publikováno v:
FUZZ-IEEE
This paper is concerned with output feedback control design for a discrete-time Takagi-Sugeno fuzzy system where the premise variable is not necessarily measurable. The Takagi-Sugeno fuzzy system generally describes nonlinear systems by employing loc
Autor:
Mohammad Fazle Azeem, K P Abdulla
Publikováno v:
FUZZ-IEEE
This paper presents the design of a fully programmable Mamdani Interval Type-2 Fuzzy Inference System (IT2 FIS) which can be used in a general-purpose Interval Type-2 Fuzzy Logic Controller (IT2 FLC). In the proposed design Type-2 fuzzy membership fu