A generalized type-2 fuzzy granular approach with applications to aerospace

Castillo, Oscar; Cervantes, Leticia; Soria, José Manuel Nieto; Sánchez, Martínez; Castro, Juan R.

doi:10.1016/j.ins.2016.03.001

Cited by 217 publications

(62 citation statements)

References 17 publications

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“…In, 14 a granular approach for intelligent control using generalized type‐2 fuzzy logic is presented. Granularity is used to divide the design of the global controller into several individual simpler controllers.…”

Section: Recent Workmentioning

confidence: 99%

“…The superiority of type‐2 fuzzy logic system (T2FLS) over type‐1 fuzzy logic system (T1FLS) has been well investigated and certified. To exemplify, it has been tested and evaluated on different real‐world applications such as adaptive controllers, 11 image edge detection, 12,13 aerospace, 14 optimization via metaheuristics, 15 airplane flight control, 16 mobile robots, 17 oil industry, 18 cyber security, 19 to mention a few. In addition, there are several reviews and comparative analysis useful for the curious readers in this controversial issue 20,21 .…”

Section: Introductionmentioning

confidence: 99%

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Telesurgery QoS improvement over SDN based on a Type‐2 fuzzy system and enhanced cuckoo optimization algorithm

Parsaei

Boveiri

Javidan

et al. 2020

Int J Communication

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Summary Telemedicine is a new area based on the information and communication technology for collecting, storing, organizing, retrieving and exchanging medical information. One of the most important applications of telemedicine is indeed telesurgery in which an efficient telecommunication infrastructure between the surgery room and remote surgeons need to be established. One of the most important issues to be tackled in telesurgery is to find favorable links for routing as well as providing high Quality of Service (QoS). In this paper, an efficient model based on the hybridization of Type‐2 Fuzzy System (T2FS) and Cuckoo Optimization Algorithm (COA) over the Software Defined Networks (SDN) is proposed in order to achieve optimal and reliable routes for telesurgery application. Using T2FS, the fitness of the links is determined; then, a COA is conducted over the Constraint Shortest Path (CSP) problem to find the best routes. Delay is considered as a CSP problem which is satisfied by trying to find the paths with minimum cost. Due to the NP‐completeness of the CSP problem, an Enhanced COA (so‐called E‐COA) is proposed and utilized as a metaheuristic solver. To the best of our knowledge, this paper is the first SDN‐based communication model that applies both T2FS and E‐COA for assigning proper costs to the network's links, and solves the consequence CSP problem according to the QoS requirement for telesurgery. The model also recognizes and preserves the second‐best routes in order to keep the reliability for such a critical application. In addition to the simulations, the performance evaluation is also conducted on a real experimental scenario. Many comparisons are carried out between the proposed model and other conventional methods, and the evaluation study shows the superiority of the proposed model on all the three QoS‐related metrics, i.e. average end‐to‐end delay, packet loss ratio and PSNR.

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Section: Recent Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Telesurgery QoS improvement over SDN based on a Type‐2 fuzzy system and enhanced cuckoo optimization algorithm

Parsaei

Boveiri

Javidan

et al. 2020

Int J Communication

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show abstract

“…In the study Efe, 50 these conditions were tested by simulation results. In fact, the boundary conditions (26) and (27) are rather strict. It has shown in the study by Efe 50 that the tracking error will converge if these are inequalities.…”

Section: Fractional Fuzzy Controller Design and Stability Analysismentioning

confidence: 99%

Fractional-order fuzzy adaptive controller design for uncertain robotic manipulators

Yan-ping

2019

International Journal of Advanced Robotic Systems

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A sliding mode adaptive fractional fuzzy control is provided in this article to achieve the trajectory tracking control of uncertain robotic manipulators. By adaptive fractional fuzzy control, we mean that fuzzy parameters are updated through fractional-order adaptation laws. The main idea of this work consists in using fractional input to control complex integerorder nonlinear systems. An adaptive fractional fuzzy control that guarantees tracking errors tend to an arbitrary small region is established. To facilitate the stability analysis, fractional-order integral Lyapunov functions are proposed, and the integer-order Lyapunov stability criterion is used. Finally, simulation results are presented to show the effectiveness of the proposed method.

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“…Therefore, fuzzy logic controllers (FLCs) have become one of the most popular approaches to control nonlinear systems when their precise mathematical model is challenging to obtain (Castillo et al, 2016a;Cervantes and Castillo, 2015;Mendel et al, 2014). FLCs have been successfully designed and implemented to control mobile robots (Castillo et al, 2016b;Tai et al, 2016;Sanchez et al, 2015;Kumbasar and Hagras, 2014;Hagras, 2004), especially UAVs (Fu et al, 2016;Fakurian et al, 2014). However, one weakness of FLCs is that they need to be tuned to deal with uncertainties.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Novel Levenberg–Marquardt based learning algorithm for unmanned aerial vehicles

Sarabakha¹,

Imanberdiyev²,

Kayacan

et al. 2017

Information Sciences

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In this paper, a Levenberg-Marquardt inspired sliding mode control theory based adaptation laws are proposed to train an intelligent fuzzy neural network controller for a quadrotor aircraft. The proposed controller is used to control and stabilize a quadrotor unmanned aerial vehicle in the presence of periodic wind gust. A proportional-derivative controller is firstly introduced based on which fuzzy neural network is able to learn the quadrotor's control model on-line. The proposed design allows handling uncertainties and lack of modelling at a computationally inexpensive cost. The parameter update rules of the learning algorithms are derived based on a Levenberg-Marquardt inspired approach, and the proof of the stability of two proposed control laws are verified by using the Lyapunov stability theory. In order to evaluate the performance of the proposed controllers extensive simulations and real-time experiments are conducted. The 3D trajectory tracking problem for a quadrotor is considered in the presence of time-varying wind conditions.

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A generalized type-2 fuzzy granular approach with applications to aerospace

Cited by 217 publications

References 17 publications

Telesurgery QoS improvement over SDN based on a Type‐2 fuzzy system and enhanced cuckoo optimization algorithm

Telesurgery QoS improvement over SDN based on a Type‐2 fuzzy system and enhanced cuckoo optimization algorithm

Fractional-order fuzzy adaptive controller design for uncertain robotic manipulators

Novel Levenberg–Marquardt based learning algorithm for unmanned aerial vehicles

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