Type-2 fuzzy logic systems

Karnik, N.N.; Mendel, Jerry M.; Liang, Qilian

doi:10.1109/91.811231

Cited by 1,440 publications

(661 citation statements)

References 36 publications

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“…Mendel also suggest that interval type-2 FLCs are more adaptive as they are able to realize more complex input-output relationships which cannot be achieved by a type-1 FLC [62]. Our results also support this from the IT2 SOFLCs ability to adaptively regulate multi variable anesthesia set points based on adjusting the delivery rates of two different drugs with different pharmacodynamic and pharmacokinetic characteristics.…”

supporting

confidence: 77%

Type-2 fuzzy sets applied to multivariable self-organizing fuzzy logic controllers for regulating anesthesia

Doctor

Syue

Liu

et al. 2016

Applied Soft Computing

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supporting

confidence: 77%

Type-2 fuzzy sets applied to multivariable self-organizing fuzzy logic controllers for regulating anesthesia

Doctor

Syue

Liu

et al. 2016

Applied Soft Computing

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“…At present, the use of logic systems (FLS) has increased, as can be observed in [24][25][26][27][28][29][30]. The Interval Type 2 fuzzy set has a fuzzy membership function, the membership grade for each element of this set is a fuzzy set in [0, 1], as can be observed in [31][32][33][34][35]. In generalized Type 2 fuzzy sets the uncertainty is represented in volume and is able to handle greater uncertainty in the system.…”

Section: Fuzzy Logic Systemsmentioning

confidence: 99%

Fuzzy Dynamic Parameter Adaptation in the Harmony Search Algorithm for the Optimization of the Ball and Beam Controller

Peraza

Valdez

Castro

et al. 2018

Advances in Operations Research

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This paper presents a method for dynamic parameter adaptation in the harmony search algorithm (HS) based on fuzzy logic. The adaptation is performed using Type 1 (FHS), interval Type 2 (IT2FHS), and generalized Type 2 (GT2FHS) fuzzy systems as the number of improvisations or iterations advances, achieving a better intensification and diversification. The main contribution of this work is the dynamic parameter adaptation using different types of fuzzy systems in the harmony search algorithm applied to optimization of the membership functions for a benchmark control problem; in this case it is focused on the ball and beam controller. Experiments are presented with the HS, FHS, IT2FHS, and GT2FHS with noise (uniform random number) and without noise for the controller, and the following error metrics are obtained: ITAE, ITSE, IAE, ISE, and RMSE, to validate the efficacy of the proposed methods.

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“…The main feature of T2FLSs is the Footprint of Uncertainty (FOU) describing the uncertainties and nonlinearities. Many studies have shown that T2FLS are much more robust to cope with uncertainties and nonlinearities compared to T1FLS [15][16][17][18][19][20]. In this paper, T2FLS is applied to a SAPF to control DC bus voltage and to reduce harmonic distortion.…”

Section: Introductionmentioning

confidence: 99%

Robust control of shunt active power filter using interval type-2 fuzzy logic controller for power quality improvement

2017

Teh. vjesn.

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Original scientific paper It is well-known that shunt active power filter (SAPF) is widely used to reduce harmonic distortion and to compensate reactive power in electrical power systems. DC bus voltage control of SAPF is very important for excellent power quality. In the control of SAPF, DC bus voltage is controlled by conventional control methods such as PI and PID controllers. However, these controllers cannot give good results under transient and steady state conditions. Robust and intelligent controllers are required in order to improve performance of SAPF. In this paper, interval type-2 fuzzy logic system (T2FLS) that does not require mathematical model to be controlled system is preferred for control of DC bus voltage of SAPF and compared with type-1 fuzzy logic system (T1FLS). SAPF structures with both controllers are designed and simulated using MATLAB /Simulink environment. Simulation results have shown that SAPF structure with proposed controller has superior features than T1FLS in terms of fixed DC bus voltage, total harmonic distortion and power quality. Keywords: Interval Type-2 Fuzzy Logic Controller (T2FLS); power quality; reactive power compensation; Shunt Active Power Filter (SAPF)Robusno reguliranje usporedno aktivnog filtra snage pomoću regulatora neizrazite logike intervala tipa-2 za poboljšanje kvalitete energijeIzvorni znanstveni članak Dobro je poznato da se usporedno aktivni filtar snage (SAPF -Shunt Active Power Filter) uvelike koristi za smanjenje harmonijske distorzije i kompenzaciju reaktivne snage u elektroenergetskim sustavima. Regulator napona sabirnice istosmjerne struje SAPF-a vrlo je važan za odličnu kvalitetu snage. U reguliranju SAPF-a, napon sabirnice istosmjerne struje regulira se konvencionalnim metodama kao što su PI i PID regulatori. Međutim, ti regulatori ne mogu dati dobre rezultate u prijelaznim i stacionarnim uvjetima. Robusni i inteligentni regulatori potrebni su za poboljšanje performansi SAPF-a. U ovom radu, sustav neizrazite logike intervala tipa-2 (T2FLS) koji ne zahtijeva matematički model kao kontrolni sustav preferira se za reguliranje napona sabirnice istosmjerne struje SAPF-a i uspoređuje sa sustavom neizrazite logike tipa-1(T1FLS). Konstruirane su i simulirane strukture SAPF-a s oba regulatora primjenom MATLAB /Simulink okruženja. Rezultati simulacije su pokazali da SAPF struktura s predloženim regulatorom ima bolje karakteristike od T1FLS-a u odnosu na fiksni napon sabirnice istosmjerne struje, ukupno harmoničko izobličenje i kvalitetu snage.Ključne riječi: kompenzacija reaktivne snage; kvaliteta snage; regulator neizrazite logike intervala tipa-2; usporedno aktivni filtar snage

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Type-2 fuzzy logic systems

Cited by 1,440 publications

References 36 publications

Type-2 fuzzy sets applied to multivariable self-organizing fuzzy logic controllers for regulating anesthesia

Type-2 fuzzy sets applied to multivariable self-organizing fuzzy logic controllers for regulating anesthesia

Fuzzy Dynamic Parameter Adaptation in the Harmony Search Algorithm for the Optimization of the Ball and Beam Controller

Robust control of shunt active power filter using interval type-2 fuzzy logic controller for power quality improvement

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