• 한국지능시스템학회논문지
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• 제10권2호
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• pp.152-160
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• 2000

본 논문에서는 확장된 병렬 분산 보상기와 최적 극점 배치 방법을 사용한 비선형 시스템의 퍼지 모델 기반 제어기의 분석과 설계 방법을 제안한다. 설계과정을 설명하면 먼저비선형 시스템을 Takagi-Sugeno 퍼지 모델로 표현하고 확장된 병렬 분산 보상기를 사용하여 제어기 규칙을 작성한다. 그리고 최적 극점 배치 방법을 사용하여 국소 상태 궤환 제어기를 설계하고 이를 이용하여 전체의 퍼지논리제어기를 설계한다. 기존의 사용된 병렬 분산 보상기와는 다르게 본 논문에서 새로이 개발된 확장된 병렬 분산 보상기와 최적 극점 배치 방법을 이용함으로써 안정한 국소 퍼지 제어기의 설계뿐만 아니라 추적 제어 목적도 수행할 수 있는 전체의 안정한 퍼지 제어기도 설계할 수 있다. 게다가 전체 퍼지 모델 뿐만 아니라 실제 비선형 시스템에 대해서도 안정도 분석을 행하였다 마지막으로 제안된 퍼지 모델 기반 제어기 설계 방법의 효율성과 가능성을 하나의 시뮬레이션 예를 통하여 증명하였다.

• 한국지능시스템학회논문지
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• 제27권1호
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• pp.50-58
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• 2017

비선형 시스템 제어에 TSK 퍼지 모델을 이용하는 연구가 많다. 그러나 비선형 시스템을 TSK 퍼지 모델로 표현하기 위해서는 대상 시스템의 비선형 동특성 방정식을 알고 있거나 시스템으로부터 실험으로 입출력 공간에 충분히 분포된 데이터를 얻을 수 있어야 한다. 본 논문에서는 비선형 시스템의 TSK 퍼지 모델링에 계단 입력 응답과 GA만을 이용하는 방법을 제안한다. 연구 대상인 시스템은 제어 입력에 비선형인 경우와 출력에 비선형인 두 경우로 하였다. 제어 입력에 비선형인 경우 여러 입력 값에 대한 계단 입력 응답 데이터들로 모델링 하며, 제어 입력에 비선형인 경우에는 계단 입력 응답 데이터와 제어 입력 값이 0인 경우 응답 데이터를 이용하여 모델링 한다. 또한 제안한 방법으로 구해진 TSK 퍼지 모델로부터 퍼지 제어기를 설계하는 방법도 제시한다. 제안한 방법들을 예제들에 적용하여 모의 실험한 결과 원하는 제어 결과를 얻을 수 있었다.

• 전자공학회논문지C
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• 제34C권5호
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• pp.43-54
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• 1997

The objective of this paper is to present a controller-design method that can guarantee the global stability for nonlinear systems described by takagi-sugeno fuzzy models, and to apply the method to a typical nonlinear control problem. The presented method gives us a compensated fuzzy controller through the following major steps: First, if each local linear model of a given takagi-sugeno fuzzy system does not have the same input matrix, the method expands the system into the one with a method finds a takagi-sugeno fuzzy controller guaranteeing the global stability of the closed loop via solving relevant linear matrix inequalities. Compared to the conventional PDC (paralled distributed compensation) technique, the presented method has an advantage that trial-and-errors to check the global stability are not necessary. An illustrative simulation on the control of inverted pendulum is performed to demonstrate the applicability of the presented method, and its results show that a controller satisfying the global stability and robustness can be obtained by the method.

• International Journal of Control, Automation, and Systems
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• 제3권2호
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• pp.173-182
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• 2005

In this paper, a target tracking algorithm for tracking maneuvering vehicles is presented. The overall algorithm belongs to the category of an interacting multiple-model (IMM) algorithm used to detect multiple targets using fused information from multiple sensors. First, two kinematic models are derived: a constant velocity model for linear motions, and a constant-speed turn model for curvilinear motions. Fpr the constant-speed turn model, a nonlinear information filter is used in place of the extended Kalman filter. Being equivalent to the Kalman filter (KF) algebraically, the information filter is extended to N-sensor distributed dynamic systems. The model-matched filter used in multi-sensor environments takes the form of a federated nonlinear information filter. In multi-sensor environments, the information-based filter is easier to decentralize, initialize, and fuse than a KF-based filter. In this paper, the structural features and information sharing principle of the federated information filter are discussed. The performance of the suggested algorithm using a Monte Carlo simulation under the two patterns is evaluated.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제2권3호
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• pp.231-236
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• 2002

In this paper, we present an analysis and design method fur the control of input-saturated nonlinear systems with the time-delay. The target system is represented by Takagi-Sugeno (T-S) fuzzy model and the parallel distributed compensation (PDC) controller is designed to guarantee the local stability of the equilibrium point. We derive the sufficient condition for the local stability by applying Lyapunov-krasovskii theorem and this condition is converted into the LMI problem.

• Structural Engineering and Mechanics
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• 제56권3호
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• pp.385-407
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• 2015

This paper deals with the problem of the global stabilization for a class of tension leg platform (TLP) nonlinear control systems. It is well known that, in general, the global asymptotic stability of the TLP subsystems does not imply the global asymptotic stability of the composite closed-loop system. Finding system parameters for stabilizing the control system is also an issue need to be concerned. In this paper, we give additional sufficient conditions for the global stabilization of a TLP nonlinear system. In particular, we consider a class of NN based Takagi-Sugeno (TS) fuzzy TLP systems. Using the so-called parallel distributed compensation (PDC) controller, we prove that this class of systems can be globally asymptotically stable. The proper design of system parameters are found by a swarm intelligence algorithm called Evolved Bat Algorithm (EBA). An illustrative example is given to show the applicability of the main result.

• 반도체디스플레이기술학회지
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• 제16권3호
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• pp.25-30
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• 2017

Arago's disk system consists of a speed controller of the DC motor (inner loop controller) and a position controller of the magnetic bar angle (main controller), which are implemented by the design of the PI and PID controller, respectively. First, we analyzed the nonlinear characteristics of the Arago disk system and found the operating point range of three locations as a result. In this paper, a gain scheduler method was applied to guarantee a constant control performance in the range of $0{\sim}130^{\circ}C$, and a structure to change the controller according to the control reference value based on the previously obtained operating points was experimentally implemented. The Distributed Control Systems (DCS) configuration using the Controller Area Network (CAN) was used to verify the proposed method by improving the operational efficiency of the entire experimental system. So, simplicity of the circuit and easy diagnosis were achieved through a single CAN bus communication.

• 제어로봇시스템학회논문지
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• 제8권11호
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• pp.916-921
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• 2002

We presents a new method of constructing an equivalent T-S fuzzy model by using the sum of products of linearly independent scalar functions from nonlinear dynamics. This method exactly expresses nonlinear systems and automatically determines the number of rules. We design a stabilizing controller f3r ul inverted pendulum system by using the concep of parallel distributed compensation (PDC) and linear matrix inequalities (LMIs) based on the proposed T-S fuzzy modeling method. We show effectiveness of a systematically designed fuzzy controller based on the proposed T-S fuzzy modeling method through the simulation and experiment of an inverted pendulum system.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.395-400
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• 2004

In most physical processes, the transfer function includes time-delay, and in the general distributed control system using computer network, there exists inherent time-delay caused by the spatial separation between controllers and actuators. This work deals with the synthesis of a discrete-time controller for a nonlinear system and proposes a new effective method to compensate the influence of input time-delay. The controller is synthesized by using input/output linearization. Under the circumstance that input time-delay exists, the system response has more overshoot and tends to diverge. For these reasons, the controller has to produce future input value that will be needed for the system. In order to calculate the future input value, some predictors are adopted. Using the discretization via Euler's method, numerical simulations about the Van der Pol system are performed to evaluate the performance of the proposed method.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 제36회 하계학술대회 논문집 D
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• pp.2723-2725
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• 2005

In this paper, a robust $H{\infty}$ stabilization problem to a uncertain discrete-time nonlinear systems with time-delay via fuzzy static output feedback is investigated. The Takagi-Sugeno (T-S) fuzzy model is employed to represent an uncertain nonlinear systems with time-delayed state. Then parallel distributed compensation technique is used for designing of the robust fuzzy controller. Using a single Lyapunov function, the globally asymptotic stability and disturbance attenuation of the closed-loop fuzzy control system are discussed. Sufficient conditions for the existence of robust $H{\infty}$ controllers are given in terms of linear matrix inequalities via similarity transform and congruence transform technique.