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Autor:
Ritu Raj, B.M. Mohan
Publikováno v:
TENCON 2017 - 2017 IEEE Region 10 Conference.
Analytical structure of a Takagi-Sugeno (TS) fuzzy PID controller is proposed in this paper. An attempt is made to generalize the input-output structure of the TS fuzzy PID controller. At least three or more fuzzy sets with trapezoidal/triangular mem
Publikováno v:
FUZZ-IEEE
The control performance of type-2 fuzzy logic controller (IT2-FLCs) is heavily dependent on the choice of antecedent and consequent sets. However, there are no clear guidelines on how to choose suitable FOU shape to achieve the desired control requir
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 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM).
The paper deals with the any-time algorithm for fuzzification which converts the format of the physical quantities into the non-overlapping set of precise terms using minimization of the fuzzification cycle duration in real time, thus allowing to red
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
Publikováno v:
2016 IEEE 7th Power India International Conference (PIICON).
Reliable power supply depends on proper equipment functioning. Power transformer keeps up voltage and power level of the system. Power transformer failure is caused by insulation failure, low voltage bushing, frequent tap change, tank leakage etc. Th
Publikováno v:
2016 16th International Conference on Control, Automation and Systems (ICCAS).
This paper proposes an H ∞ fuzzy filter for nonlinear sampled-data system. The nonlinear system is represented based on the Takagi-Sugeno (T-S) fuzzy model. An error system between the nonlinear sampled-data system and fuzzy filter is presented. Us
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,