• 제목/요약/키워드: continuous logic

검색결과 169건 처리시간 0.025초

큰 외란이 존재하는 CNC 이송 구동계를 위한 적응 퍼지논리 제어기 (Self-Organizing Fuzzy Logic Controller for CNC Feed Drive Systems with Large Disturbances)

  • 지성철
    • 한국정밀공학회지
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    • 제15권10호
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    • pp.180-192
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    • 1998
  • This paper introduces a new self-organizing fuzzy logic controller (SOFLC) for precision contour machining in the presence of large disturbances which adjusts both input and output membership functions simultaneously. The parameters of the proposed controller are self-tuned in real-time according to a continuous measurement of the performance of the controller itself and estimated disturbance values. The proposed controller as well as a conventional fuzzy logic controller and a PID controller were simulated and implemented on a 3-axis milling machine in contour milling. Both the simulations and experiments show that the self-organizing fuzzy logic controller has superior performance in terms of contour tracking accuracy compared with the other two controllers.

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Design and Evaluation of a Distributed Multimedia synchronization Algorithm based on the Fuzzy Logic

  • Oh, Sun-Jin;Bae, Ihn-Han
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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    • pp.246-251
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    • 1998
  • The basic requirement of a distributed multimedia system are intramedia synchronization which asks the strict delay and jitter for the check period of media buffer and the scaling duration with periodic continuous media such as audio and video media, and intermedia synchronization that needs the constraint for relative time relations among them when several media are presented in parallel. In this paper, a distributed multimedia synchronization algorithm based on the fuzzy logic is presented and the performance is evaluated through simulation. Intramedia synchronisation algorithm uses the media scaling techniques and intermedia synchronization algorithm uses variable service rates on the basis of fuzzy logic to solve the multimedia synchronization problem.

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Evoluationary Design of a Fuzzy Logic Controller For Multi-Agent Robotic Systems

  • Jeong, ll-Kwon1;Lee, Ju-Jang
    • Transactions on Control, Automation and Systems Engineering
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    • 제1권2호
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    • pp.147-152
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    • 1999
  • It is an interesting area in the field of artifical intelligence to find an analytic model of cooperative structure for multiagent system accomplishing a given task. Usually it is difficult to design controllers for multi-agent systems without a comprehensive knowledge about the system. One of the way to overcome this limitation is to implement an evolutionary approach to design the controllers. This paper introduces the use of a genetic algorithm to discover a fuzzy logic controller with rules that govern emergent agents solving a pursuit problem in a continuous world. Simulation results indicate that, given the complexity of the problem, an evolutionary approach to find the fuzzy logic controller seems to be promising.

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Development of Industry-Wide IS Integration Model in the Agri-Industry

  • Hedman, Jonas;Henningsson, Stefan
    • Agribusiness and Information Management
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    • 제5권1호
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    • pp.20-30
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    • 2013
  • This paper presents a model explaining industrywide information systems (IS) integration in the agri-industry. Using a theoretical frame of value configuration analysis and IS integration extent we study 15 organizations. We find that product sensitivity, continuous production, value chain captains, and value creation logic explain the industry-wide IS integration. Incompatible value creation logic among stakeholders and the lack of presence of "value chain captains" - powerful actors dominating the entire industry - has and negative impact on industry-wide integration. On the other hand, product sensitivity and continuous production process led to higher levels of integration.

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SATURATED STRUCTURES FROM PROBABILITY THEORY

  • Song, Shichang
    • 대한수학회지
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    • 제53권2호
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    • pp.315-329
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    • 2016
  • In the setting of continuous logic, we study atomless probability spaces and atomless random variable structures. We characterize ${\kappa}$-saturated atomless probability spaces and ${\kappa}$-saturated atomless random variable structures for every infinite cardinal ${\kappa}$. Moreover, ${\kappa}$-saturated and strongly ${\kappa}$-homogeneous atomless probability spaces and ${\kappa}$-saturated and strongly ${\kappa}$-homogeneous atomless random variable structures are characterized for every infinite cardinal ${\kappa}$. For atomless probability spaces, we prove that ${\aleph}_1$-saturation is equivalent to Hoover-Keisler saturation. For atomless random variable structures whose underlying probability spaces are Hoover-Keisler saturated, we prove several equivalent conditions.

벼의 횡류 연속식 건조 모델 개발과 퍼지논리를 이용한 건조 속도 제어에 관한 연구(II) - 건조속도제어 - (Development of Continuous Cross-Flow Rice Drying Model and Drying Speed Control System Using Fuzzy Logic(II) - Drying Speed Control -)

  • 송대빈;고학균;조성인
    • Journal of Biosystems Engineering
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    • 제23권5호
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    • pp.457-464
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    • 1998
  • A drying speed control system using fuzzy logic was developed in order to minimize the damage of rice quality for a large capacity continuous dryer. The performance of the system was tested at two object moisture content of 17% and 25% on a wet basis. For object moisture content of 17% on a wet basis, the final output moisture contents from 20.46%, 20.96%, 18.98% on a wet basis were 17.99%, 17.6% and 17.23% on a wet basis, respectively. For object moisture content of 25% on a wet basis, the final output moisture contents from 28.85%, 26.95%, 28.11%, 27.8% on a wet basis were 25.24%, 24.9%, 25.23% and 25.09% on a wet basis, respectively.

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회귀나무 분석을 이용한 C-CRF의 특징함수 구성 방법 (Method to Construct Feature Functions of C-CRF Using Regression Tree Analysis)

  • 안길승;허선
    • 대한산업공학회지
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    • 제41권4호
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    • pp.338-343
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    • 2015
  • We suggest a method to configure feature functions of continuous conditional random field (C-CRF). Regression tree and similarity analysis are introduced to construct the first and second feature functions of C-CRF, respectively. Rules from the regression tree are transformed to logic functions. If a logic in the set of rules is true for a data then it returns the corresponding value of leaf node and zero, otherwise. We build an Euclidean similarity matrix to define neighborhood, which constitute the second feature function. Using two feature functions, we make a C-CRF model and an illustrate example is provided.