• 제목/요약/키워드: Parallel Logic Simulation

검색결과 69건 처리시간 0.029초

Optical Secret Key Sharing Method Based on Diffie-Hellman Key Exchange Algorithm

  • Jeon, Seok Hee;Gil, Sang Keun
    • Journal of the Optical Society of Korea
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    • 제18권5호
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    • pp.477-484
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    • 2014
  • In this paper, we propose a new optical secret key sharing method based on the Diffie-Hellman key exchange protocol required in cipher system. The proposed method is optically implemented by using a free-space interconnected optical logic gate technique in order to process XOR logic operations in parallel. Also, we present a compact type of optical module which can perform the modified Diffie-Hellman key exchange for a cryptographic system. Schematically, the proposed optical configuration has an advantage of producing an open public key and a shared secret key simultaneously. Another advantage is that our proposed key exchange system uses a similarity to double key encryption techniques to enhance security strength. This can provide a higher security cryptosystem than the conventional Diffie-Hellman key exchange protocol due to the complexity of the shared secret key. Results of numerical simulation are presented to verify the proposed method and show the effectiveness in the modified Diffie-Hellman key exchange system.

퍼지논리와 다층 신경망을 이용한 로보트 매니퓰레이터의 위치제어 (Position Control of the Robot Manipulator Using Fuzzy Logic and Multi-layer neural Network)

  • 김종수;이홍기;전홍태
    • 전자공학회논문지B
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    • 제28B권11호
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    • pp.934-940
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    • 1991
  • The multi-layer neural network that has broadly been utilized in designing the controller of robot manipulator possesses the desirable characteristics of learning capacity, by which the uncertain variation of the dynamic parameters of robot can be handled adaptively, and parallel distributed processing that makes it possible to control on real-time. However the error back propagation algorithm that has been utilized popularly in the learning of the multi-layer neural network has the problem of its slow convergencs speed. In this paper, an approach to improve the convergence speed is proposed using fuzzy logic that can effectively handle the uncertain and fuzzy informations by linguistic level. The effectiveness of the proposed algorithm is demonstrated by computer simulation of PUMA 560 robot manipulator.

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OPTIMAL TORQUE MANAGEMENT STRATEGY FOR A PARALLEL HYDRAULIC HYBRID VEHICLE

  • Sun, H.;Jiang, J.H.;Wang, X.
    • International Journal of Automotive Technology
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    • 제8권6호
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    • pp.791-798
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    • 2007
  • The hydraulic hybrid vehicle(HHV) is an application of hydrostatic transmission technology to improve vehicle fuel economy and emissions. A relatively lower energy density of hydraulic accumulator and complicated coordinating operations between two power sources require a special energy management strategy to maximize the fuel saving potential. This paper presents a new type of configuration for parallel HHV to minimize the disadvantages of the hydraulic accumulator, as well as a methodology for developing an energy management strategy tailored specially for PHHV. Based on an analysis of the optimal energy distribution between two power sources over a representative urban driving cycle with a Dynamic Programming(DP) algorithm, a fuzzy-based optimal torque management strategy is designed and developed to control the torque distribution. Simulation results demonstrates that the optimal torque management strategy maximizes the advantages of this hybrid type of configuration, and the high power density characteristics of hydraulic technology effectively improve the robustness of the energy management strategy and fuel economy of the PHHV.

SISO 비선형 시스템의 제어를 위한 퍼지 모델 기반 제어기 (The Fuzzy Model-Based-Controller for the Control of SISO Nonlinear System)

  • 장욱;권오국;주영훈;박진배
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1998년도 하계학술대회 논문집 B
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    • pp.528-530
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    • 1998
  • This paper addresses analysis and design of a fuzzy model-based-controller for the control of uncertain SISO nonlinear systems. In the design procedure, we represent the nonlinear system by using a Takagi-Sugeno fuzzy model and construct a global fuzzy logic controller via parallel distributed compensation and sliding mode control. Unlike other parallel distributed controllers. this globally stable fuzzy controller is designed without finding a common positive definite matrix for a set of Lyapunov equations, and has good tracking performance. Furthermore, stability analysis is conducted not for the fuzzy model but for the real underlying nonlinear system. A simulation is included for the control of the Duffing forced-oscillation system, to show the effectiveness and feasibility of the proposed fuzzy control method.

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Design of Fuzzy Model Based Controller for Uncertain Nonlinear Systems

  • Wook Chang;Joo, Young-Hoon;Park, Jin-Bae;Guanrong Chen
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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    • pp.185-189
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    • 1998
  • This paper addresses analysis and design of a fuzzy model-based-controller for the control of uncertain SISO nonlinear systems. In the design procedure, we represent the nonlinear system by using a Takagi-Sugeno fuzzy model and construct a global fuzzy logic controller via parallel distributed compensation and sliding mode control. Unlike other parallel distributed controllers, this globally stable fuzzy controller is designed without finding a common positive definite matrix for a set of Lyapunov equations, and has good tracking performance. The stability analysis is conducted not for the fuzzy model but for the real underlying nonlinear system. Furthermore, the proposed method can be applied to partially known uncertain nonlinear systems. A numerical simulation is performed for the control of an inverted pendulum, to show the effectiveness and feasibility of the proposed fuzzy control method.

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저가격 고 신뢰성의 병렬 운전 제어 기법 (A Low Cost High Reliability Control Scheme in Parallel Inverters)

  • 정석언
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2007년도 하계학술대회 논문집
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    • pp.274-276
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    • 2007
  • In this paper, a low cost and high reliability control scheme is proposed for 400Hz UPS system operated in parallel. The proposed control scheme is consisted of two parts which are synchronization and load sharing control. The synchronization control is achieved by discrete logic ICs and analog circuit. The load sharing control is realized by current transformers (CTs) without any controller. Therefore, This proposed control scheme is rather simple and the cost may be decreased, compared with control scheme using expensive controller such as DSP and CAN. The practical feasibility of the proposed control scheme is proved by analysis and simulation.

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SD 수, PD 수를 이용한 다치 연산기의 설계 (Design of Multi-Valued Process using SD, PD)

  • 임석범;송홍복
    • 한국정보통신학회논문지
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    • 제2권3호
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    • pp.439-446
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    • 1998
  • 본 논문에서는 다치 논리를 기본으로 한 SD 가산기 및 PD 가산기를 설계하였다. 전류 모드 CMOS 회로를 이용하여 다치 논리를 구현하였으며 부분곱으로 전압모드 CMOS 회로도 이용하였다. 설계된 회로에 대한 검증은 대부분 SPICE 시뮬레이션을 통해 확인하였다. 다치 부호를 적용한 SD(Signed-Digit) 수 표현을 사용하여 자리 올림 신호의 전송이 자리수에 관계없이 1단에서 실행되게 함으로써 병렬연산의 고속화를 가능하게 하였고, 또한 M개의 다 입력을 처리하는 가산기에서는 적당한 PD(Positive-digit) 수 표현을 사용하여 가산의 단수를 줄일 수 있으므로 연산의 고속화 및 고집적화를 가능하게 하였다.

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퍼지논리와 다층 신경망을 이용한 로봇 매니퓰레이터의 위치제어 (Position Control of The Robot Manipulator Using Fuzzy Logic and Multi-layer Neural Network)

  • 김종수;전홍태
    • 한국지능시스템학회논문지
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    • 제2권1호
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    • pp.17-32
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    • 1992
  • 로보트 매니퓰레이터의 신경 제어기 구성에 널리 사용하는 다층 신경회로망은 로보트의 불확실한 동적 파라메터 변화에 대한 강건한 학습 적응능력, 그리고 병렬 처리를 통한 실시간 제어등의 장점들을 갖고있다. 그러나 대표적인 학습방법인 오차 역전파(error back propagation) 알고리즘은 그 학습 속도가 느리다는 문제점을 갖는다. 본 논문에서는 불확실하고 애매한 정보를 언어적인 방법에 의해 효율적으로 처리할 수 있는 퍼지 논리 (fuzzy logic)를 도입하여 로보트 매니퓰레이터 신경 제어기의 학습 속도를 개선하기위한 한 방법을 제안한다. 제안된 제어기의 효용성은 PUMA 560 로보트의 모의 실험을 통해 입증된다.

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저 전력 MOS 전류모드 논리회로 설계 (Design of a Low-Power MOS Current-Mode Logic Circuit)

  • 김정범
    • 정보처리학회논문지A
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    • 제17A권3호
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    • pp.121-126
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    • 2010
  • 본 논문에서는 저 전압 스윙 기술을 적용하여 저 전력 회로를 구현하고, 슬립 트랜지스터 (sleep-transistor)를 이용하여 누설전류를 최소화하는 새로운 저 전력 MOS 전류모드 논리회로 (MOS current-mode logic circuit)를 제안하였다. 제안한 회로는 저 전압 스윙 기술을 적용하여 저 전력 특성을 갖도록 설계하였고 고 문턱전압 PMOS 트랜지스터 (high-threshold voltage PMOS transistor)를 슬립 트랜지스터로 사용하여 누설전류를 최소화하였다. 제안한 회로는 $16\;{\times}\;16$ 비트 병렬 곱셈기에 적용하여 타당성을 입증하였다. 이 회로는 슬립모드에서 기존 MOS 전류 모드 논리회로 구조에 비해 대기전력소모가 1/104로 감소하였으며, 정상 동작모드에서 11.7 %의 전력소모 감소효과가 있었으며 전력소모와 지연시간의 곱에서 15.1 %의 성능향상이 있었다. 이 회로는 삼성 $0.18\;{\mu}m$ CMOS 공정을 이용하여 설계하였으며, HSPICE를 통하여 검증하였다.

Path Following Control of Mobile Robot Using Lyapunov Techniques and PID Cntroller

  • Jin, Tae-Seok;Tack, Han-Ho
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제11권1호
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    • pp.49-53
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    • 2011
  • Path following of the mobile robot is one research hot for the mobile robot navigation. For the control system of the wheeled mobile robot(WMR) being in nonhonolomic system and the complex relations among the control parameters, it is difficult to solve the problem based on traditional mathematics model. In this paper, we presents a simple and effective way of implementing an adaptive following controller based on the PID for mobile robot path following. The method uses a non-linear model of mobile robot kinematics and thus allows an accurate prediction of the future trajectories. The proposed controller has a parallel structure that consists of PID controller with a fixed gain. The control law is constructed on the basis of Lyapunov stability theory. Computer simulation for a differentially driven nonholonomic mobile robot is carried out in the velocity and orientation tracking control of the nonholonomic WMR. The simulation results of wheel type mobile robot platform are given to show the effectiveness of the proposed algorithm.