• Title/Summary/Keyword: and Discrete Time Model

검색결과 807건 처리시간 0.031초

A design of discrete time nonlinear control system with disturbances using model following method

  • Zhang, Yuan-Sheng;Okubo, Shigenori
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 Proceedings of the Korea Automatic Control Conference, 11th (KACC); Pohang, Korea; 24-26 Oct. 1996
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    • pp.239-242
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    • 1996
  • A model following control system(MFCS) can give general output signals following desired ones. In previous studies, a method of nonlinear MFCS was proposed by S.Okubo[1]. In this paper, the method of nonlinear MFCS will be extended to discrete time nonlinear systems. It is easy to extend the method to discrete time systems. But in the case .gamma.=1 discrete time systems, the proof becomes difficult, because the transfer function from f(v(k)) to v(k) can't be a positive real function. In this case, to ensure that internal states are stable, a new criterion is proposed.

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리튬 이온 전지의 전기적 등가 회로에 관한 연속시간 및 이산시간 상태방정식 연구 (Continuous Time and Discrete Time State Equation Analysis about Electrical Equivalent Circuit Model for Lithium-Ion Battery)

  • 한승윤;박진형;박성윤;김승우;이평연;김종훈
    • 전력전자학회논문지
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    • 제25권4호
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    • pp.303-310
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    • 2020
  • Estimating the accurate internal state of lithium ion batteries to increase their safety and efficiency is crucial. Various algorithms are used to estimate the internal state of a lithium ion battery, such as the extended Kalman filter and sliding mode observer. A state-space model is essential in using algorithms to estimate the internal state of a battery. Two principal methods are used to express the state-space model, namely, continuous time and discrete time. In this work, the extended Kalman filter is employed to estimate the internal state of a battery. Moreover, this work presents and analyzes the estimation performance of algorithms consisting of a continuous time state-space model and a discrete time state-space model through static and dynamic profiles.

Discretization of laser model with bifurcation analysis and chaos control

  • Qamar Din;Waqas Ishaque;Iqra Maqsood;Abdelouahed Tounsi
    • Advances in nano research
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    • 제15권1호
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    • pp.25-34
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    • 2023
  • This paper investigates the dynamics and stability of steady states in a continuous and discrete-time single-mode laser system. By using an explicit criteria we explored the Neimark-Sacker bifurcation of the single mode continuous and discrete-time laser model at its positive equilibrium points. Moreover, we discussed the parametric conditions for the existence of period-doubling bifurcations at their positive steady states for the discrete time system. Both types of bifurcations are verified by the Lyapunov exponents, while the maximum Lyapunov ensures chaotic and complex behaviour. Furthermore, in a three-dimensional discrete-time laser model, we used a hybrid control method to control period-doubling and Neimark-Sacker bifurcation. To validate our theoretical discussion, we provide some numerical simulations.

Estimation error bounds of discrete-time optimal FIR filter under model uncertainty

  • Yoo, Kyung-Sang;Kwon, Oh-Kyu
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1995년도 Proceedings of the Korea Automation Control Conference, 10th (KACC); Seoul, Korea; 23-25 Oct. 1995
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    • pp.352-355
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    • 1995
  • In this paper, estimation error bounds of the optimal FIR (Finite Impulse Response) filter, which is proposed by Kwon et al.[1, 2], are presented in discrete-time systems with the model uncertainty. Performance bounds are here represented by the upper bounds on the difference of the estimation error covariances between the nominal and real values in case of the systems with the noise or model parameter uncertainty. The estimation error bounds of the discrete-time optimal FIR filter is compared with those of the Kalman filter via a numerical example applied to the simulation problem by Toda and Patel[3]. Simulation results show that the former has robuster performance than the latter.

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MATLAB/Simulink를 이용한 DEVS 모델의 시뮬레이션 환경 구축 (Simulation Environment of DEVS Models using MATLAB/Simulink)

  • 서경민;성창호;김탁곤
    • 한국시뮬레이션학회논문지
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    • 제17권4호
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    • pp.219-227
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    • 2008
  • DEVS 형식론은 이산 사건 시스템을 계층적이고 모듈러하게 표현할 수 있다. MATLAB/Simulink는 연속 시스템과 이산 시간 시스템을 모델링하고 시뮬레이션을 수행하는 데 널리 쓰인다. 본 논문은 MATLAB/Simulink 환경에서 DEVS 형식론을 구현하는 방법론을 제안한다. 본 논문에서 제안하는 방법론을 이용하여MATLAB/Simulink에서 제공하는 다양한 공학 방정식과 알고리즘을 사용할 수 있다. 또한 동일한 시뮬레이션 환경에서 연속 시스템과 이산 사건 시스템이 혼합된 하이브리드 시스템에 대한 시뮬레이션을 수행할 수 있다. 이를 위해 본 논문은 Simulink-DEVS 모델과 이 모델을 시뮬레이션을 수행하는 데 필요한 시간 진행 알고리즘을 제안한다. 특히 시간 진행 알고리즘은 시스템의 유형에 상관없이 적절한 시간 진행을 수행한다. 두 가지 실험 결과를 통해 본 논문에서 제안하는 방법론의 효용성을 입증한다.

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Geo/D/1/1 모형에서의 실시간 원격 추정값의 오차 분석 (Analysis of Real-time Error for Geo/D/1/1 Model)

  • Yutae, Lee
    • 한국정보통신학회논문지
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    • 제27권1호
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    • pp.135-138
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    • 2023
  • In this paper, we study real-time error in the context of monitoring a binary information source through a delay system. To derive the average real-time error, we model the delay system as a discrete time Geo/D/1/1 queueing model. Using a discrete time three-dimensional Markov chain with finite state space, we analyze the queueing model. We also perform some numerical analysis on various system parameters: state transition probabilities of binary information source; transmission times; and transmission frequencies. When the state changes of the information source are positively correlated and negatively correlated, we investigate the relationship between transmission time and transmission frequency.

대일정 생산 계획에 따른 조선소 생산 용량의 초기 평가를 위한 이산사건 시뮬레이션 (Discrete Event Simulation for the Initial Capacity Estimation of Shipyard Based on the Master Production Schedule)

  • 김광식;황호진;이장현
    • 한국CDE학회논문집
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    • 제17권2호
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    • pp.111-122
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    • 2012
  • Capacity planning plays an important role not only for master production plan but also for facility or layout design in shipbuilding. Product work breakdown structure, attributes of production resources, and production method or process data are associated in order to make the discrete event simulation model of shipyard layout plan. The production amount of each process and the process time is assumed to be stochastic. Based on the stochastic discrete event simulation model, the production capacity of each facility in shipyard is estimated. The stochastic model of product arrival time, process time and transferring time is introduced for each process. Also, the production capacity is estimated for the assumed master production schedule.

아산치 혼돈 시스템의 제어를 위한 일반형 예측 제어기의 설계 (Design of generalized predictive controller for discrete-time chaotic systems)

  • 박광성;주진만;박진배;최윤호;윤태성
    • 전자공학회논문지S
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    • 제34S권11호
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    • pp.53-62
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    • 1997
  • In this study, a controller design method is proposed for controlling the discrete-time chaotic systems efficiently. The proposed control method is based on Generalized Predictive Control and uses NARMAX models as controlled models. In order to evaluate the performance of the proposed method, a proposed controller is applied to discrete-time chaotic systems, and then the control performance and initial sensitivity of the proposed controller are compared with those of the conventional model-based controler through computer simulations. Through simulations results, it is shown that the control performance of the proposed controller is superior to that of the conventional model-based controller and shown that the peorposed controller is less sensitive to initial values of discrete-time chaotic systems in comparison with the conventional model-based controller.

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Optimal Design of Discrete Time Preview Controllers for Semi-Active and Active Suspension systems

  • Youn, Il-Joong
    • Journal of Mechanical Science and Technology
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    • 제14권8호
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    • pp.807-815
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    • 2000
  • In this paper, modified discrete time preview control algorithms for active and semi-active suspension systems are derived based on a simple mathematical 4 DOF half-car model. The discrete time preview control laws for ride comfort are employed in the simulation. The algorithms for MIMO system contain control strategies reacting against body forces that occur at cornering, accelerating, braking, or under payload, in addition to road disturbances. Matlab simulation results for the discrete time case are compared with those for the continuous time case and the appropriateness of the discrete time algorithms are verified by the of simulation results. Passive, active, and semi-active system responses to a sinusoidal input and an asphalt road input are analysed and evaluated. The simulation results show the extent of performance degradation due to numerical errors related to the length of the sampling time and time delay.

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제한된 외란하에서의 강인한 이산 시간 모델 추종 적응 제어 (A Robust Discrete-Time Model Reference Adaptive Control in the Presence of Bounded Disturbances)

  • 이호진;함운철;최계근
    • 대한전자공학회논문지
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    • 제25권12호
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    • pp.1618-1624
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    • 1988
  • In this paper, a robust discrete model reference adaptive controller is proposed using a generalized model reference adaptive algorithm for single-input single-output discrete systems. A signal dependent time-varying dead-zone is employed in a generalized adaptive control structure. This adaptive controller is shown to assure the boundedness of the signals of the system even in the presence of bounded external disturbance.

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