• Title/Summary/Keyword: fuzzy modeling

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A Design on Reference Model Following Fuzzy Control System Using Hysteresis element (비선형 요소를 이용한 기준 모델 추종형 퍼지 제어 시스템의 설계)

  • Hwang, C.S.;Nam, K.W.;Jeong, H.S.;Kim, D.W.
    • Proceedings of the KIEE Conference
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    • 1996.07b
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    • pp.974-976
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    • 1996
  • In this paper, a reference model following control system using a fuzzy logic controller(FLC) is proposed By using an integrator and a nonlinear hysteresis element, a reference model whose response has no overshoot and fast rise time is designed. A FLC is designed to follow as close as possible to the response of the reference model. The proposed design method is shown that the robustness and the optimal tracking property can be achieved under modeling error, disturbance and parameter perturbations. The effectiveness of the proposed design method is verified through the simulation that compare using the FLC with using a $H_{\infty}$ controller.

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Modified algorithmic LMI design with applications in aerospace vehicles

  • Chen, Tim;Gu, Anzaldi;Hsieh, Chiayen;Xu, Giustolisi;Wang, Cheng;Chen, C.Y.J.
    • Advances in aircraft and spacecraft science
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    • v.8 no.1
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    • pp.69-85
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    • 2021
  • A modified fuzzy mechanical control of large-scale multiple time delayed dynamic systems in states is considered in this paper. To do this, at the first level, a two-step strategy is proposed to divide a large system into several interconnected subsystems. As a modified fuzzy control command, the next was received as feedback theory based on the energetic function and the LMI optimal stability criteria which allow researchers to solve this problem and have the whole system in asymptotically stability. Modeling the Fisher equation and the temperature gauge for high-speed aircraft and spacecraft shows that the calculation method is efficient.

Neuro-fuzzy modeling of deformation parameters for fusion-barriers

  • Akkoyun, Serkan;Torun, Yunis
    • Nuclear Engineering and Technology
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    • v.53 no.5
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    • pp.1612-1618
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    • 2021
  • The fusion-barrier distribution is very sensitive to the structure of the colliding nuclei such as nuclear quadrupole and hexadecapole deformation parameters and their signs. If the nuclei that enter the fusion reaction are deformed, the barrier problem becomes complicated. Therefore the deformation parameters are taken into account in the calculations. In this study, Neuro-Fuzzy approach, ANFIS, method has been used for the estimation of ground-state quadrupole (𝜀2) and hexadecapole (𝜀4) deformation parameters for the nuclei. According to the results, the method is suitable for this task and one can confidently use it to obtain the data that is not available in the literature.

GWO-based fuzzy modeling for nonlinear composite systems

  • ZY Chen;Yahui Meng;Ruei-Yuan Wang;Timothy Chen
    • Steel and Composite Structures
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    • v.47 no.4
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    • pp.513-521
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    • 2023
  • The goal of this work is to create a new and improved GWO (Grey Wolf Optimizer), the so-called Robot GWO (RGWO), for dynamic and static target tracking involving multiple robots in unknown environmental conditions. From applying ourselves with the Gray Wolf Optimization Algorithm (GWO) and how it works, as the name suggests, it is a nature-inspired metaheuristic based on the behavior of wolf packs. Like other nature-inspired metaheuristics such as genetic algorithms and firefly algorithms, we explore the search space to find the optimal solution. The results also show that the improved optimal control method can provide superior power characteristics even when operating conditions and design parameters are changed.

Physical Habitat Modeling in Dalcheon Stream Using Fuzzy Logic (퍼지논리를 이용한 달천의 물리서식처 모의)

  • Jung, Sang-Hwa;Jang, Ji-Yeon;Choi, Sung-Uk
    • Journal of Korea Water Resources Association
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    • v.45 no.2
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    • pp.229-242
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    • 2012
  • This study presents a physical habitat modeling of adult Zacco platypus in a reach of the Dalcheon Stream located downstream of the Goesaan Dam. CASiMiR model is used to estimate habitat suitability index based on the fuzzy logic. Results are compared with those from River2D model, which uses habitat preference curve for habitat suitability index. Hydraulic data simulated by River2D are used as input data for CASiMiR model after verification against field measurements. The result shows that the habitat suitability of the adult Zacco platypus is maximum around the riffle area located upstream of the bend. CASiMiR and River2D estimate the maximum weighted usable areas at the discharge rates of 7.23 $m^3/s$ and 9.0 $m^3/s$, respectively. Overall comparison of the two models employed in this study indicates that CASiMiR model overestimates the weighted usable area by 0.3~25.3% compared with River2D model in condition of drought flow (Q355), low flow (Q275), normal flow (Q185), and average-wet flow (Q95).

The Application of Adaptive Network-based Fuzzy Inference System (ANFIS) for Modeling the Hourly Runoff in the Gapcheon Watershed (적응형 네트워크 기반 퍼지추론 시스템을 적용한 갑천유역의 홍수유출 모델링)

  • Kim, Ho Jun;Chung, Gunhui;Lee, Do-Hun;Lee, Eun Tae
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.5B
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    • pp.405-414
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    • 2011
  • The adaptive network-based fuzzy inference system (ANFIS) which had a success for time series prediction and system control was applied for modeling the hourly runoff in the Gapcheon watershed. The ANFIS used the antecedent rainfall and runoff as the input. The ANFIS was trained by varying the various simulation factors such as mean areal rainfall estimation, the number of input variables, the type of membership function and the number of membership function. The root mean square error (RMSE), mean peak runoff error (PE), and mean peak time error (TE) were used for validating the ANFIS simulation. The ANFIS predicted runoff was in good agreement with the measured runoff and the applicability of ANFIS for modelling the hourly runoff appeared to be good. The forecasting ability of ANFIS up to the maximum 8 lead hour was investigated by applying the different input structure to ANFIS model. The accuracy of ANFIS for predicting the hourly runoff was reduced as the forecasting lead hours increased. The long-term predictability of ANFIS for forecasting the hourly runoff at longer lead hours appeared to be limited. The ANFIS might be useful for modeling the hourly runoff and has an advantage over the physically based models because the model construction of ANFIS based on only input and output data is relatively simple.

Study on Local Path Control Method based on Beam Modeling of Obstacle Avoidance Sonar (장애물회피소나 빔 모델링 기반의 국부경로제어 기법 연구)

  • Kim, Hyun-Sik
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.2
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    • pp.218-224
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    • 2012
  • Recently, as the needs of developing the micro autonomous underwater vehicle (AUV) are increasing, the acquisition of the elementary technology is urgent. While they mostly utilizes information of the forward looking sonar (FLS) in conventional studies of the local path control as an elementary technology, it is desirable to use the obstacle avoidance sonar (OAS) because the size of the FLS is not suitable for the micro AUV. In brief, the local path control system based on the OAS for the micro AUV operates with the following problems: the OAS offers low bearing resolution and local range information, it requires the system that has reduced power consumption to extend the mission execution time, and it requires an easy design procedure in terms of its structures and parameters. To solve these problems, an intelligent local path control algorithm based on the beam modeling of OAS with the evolution strategy (ES) and the fuzzy logic controller (FLC), is proposed. To verify the performance and analyze the characteristic of the proposed algorithm, the course control of the underwater flight vehicle (UFV) is performed in the horizontal plane. Simulation results show that the feasibility of real application and the necessity of additional work in the proposed algorithm.

Extraction of Cause Factors to Enhance the Competition of Ship Management Industry Considering Ship's Lifecycle based an Intuitionistic Fuzzy DEMATEL&ISM (직관적퍼지 DEMATEL&ISM법 기반 선박의 전주기를 고려한 선박관리산업의 경쟁력 강화 원인요인 도출)

  • Jang, Woon-Jae
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.2
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    • pp.228-237
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    • 2021
  • In those day, the Busan local government had instituted a rule to support and enhance competition as well as improve respect for the ship management industry. This study aims to extract the cause factors to enhance such competition using intuitionistic decision making trial and evaluation laboratory (DEMATEL) and interpretive structural modeling (ISM) methods. First, eight factors were extracted from the specifications in the Ship Management Industry Development Act. Second, the intuitionistic fuzzy number was converted to a crisp number using the standard fuzzy number. Third, the influence relationship was analyzed using DEMATEL, and the priority ranks for the factors are determined using ISM. From the results of the impact relationship analysis, the three main cause factors were determined as improvement of technical ship management capability, improvement of expertise of manpower for onshore management, and improvement of the quality of the Korean seafarer. The priorities under the ISM method, in descending order, were as follows: improvement of the quality of Korean seafarers, improvement of professionalism among the manpower for shore management, improvement of technical ship management capability, improvement of commercial ship management capability, establishment of a comprehensive information system, improvement of the working conditions and employment environment for seafarers, financial support such as overseas orders, and strengthening the availability of foreign seafarers. Therefore, it is necessary to prioritize policy promotion based on these factors, especially the top three, as these have the highest impact.

The User Modeling with Fuzzy Inference Engine (퍼지 추론기를 이용한 사용자 모델링)

  • 송주연;오경환
    • Proceedings of the Korean Information Science Society Conference
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    • 1999.10b
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    • pp.18-20
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    • 1999
  • 본 논문에서는 사용자 인터페이스 시스템 환경에서 얼굴 표정과 머리 움직임의 정보를 활용하여 사용자 프로파일을 학습하는 시스템을 제안한다. 얼굴 표정이나 머리 움직임을 보고 사용자의 감정상태를 파악하는 일은 불확실하고 모호한 정보를 이용하는 것으로서 퍼지 추론기를 적용하여 사용자의 만족상태를 모델링한다. 퍼지 추론기를 통하여 얻어진 사용자 만족도를 사용자 프로파일 학습 피드백으로 사용함으로써 사용자의 암시적 정보를 포함하는 프로파일을 구성한다.

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Development of Economical Run Model for Electric Railway Vehicle using Genetic Algorithm (유전알고리즘을 이용한 철도차량 경제운전 모델 개발)

  • Lee, Tae-Hyeong;Park, Chun-Su;Choe, Seong-Hun;Kim, Seok-Won
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2007.04a
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    • pp.364-366
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    • 2007
  • 본 논문은 철도차량이 주행하는 선로에 존재하는 수많은 곡선과 경사, 속도 제한 조건 때문에 열차성능해석 계산시 열차의 견인, 제동 특성이 비선형이기 때문에 해석적인 방법으로 해를 구하는데 어려움이 많은 경제운전 문제를 운행 시간 여유분을 고려하여 에너지 소비를 최소화하는 운전 모형을 제시한다. 경제운전모형을 한국형 고속열차에 적용하여 그 타당성을 입증하였다.

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