• Journal of the Institute of Electronics Engineers of Korea SC
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• v.41 no.4
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• pp.21-28
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• 2004

This paper presents a direct multivariable self-tuning controller using neural network which adapts to the changing parameters of the higher order multivariable nonlinear system with nonminimum phase behavior, mutual interactions and time delays. The nonlinearities are assumed to be globally bounded, and a multivariable nonlinear system is divided linear part and nonlinear part. The neural network is used to estimate the controller parameters, and the control output is obtained through estimated controller parameter. In order to demonstrate the effectiveness of the proposed algorithm the computer simulation is done to adapt the multivariable nonlinear nonminimm phase system with time delays and changed system parameter after a constant time. The proposed method compared with direct multivariable adaptive controller using neural network.

• ICROS
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• v.17 no.4
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• pp.46-50
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• 2011

다변수 입출력 제어시스템에서 제어기를 설계하기 위해서는 단일 입출력 시스템에서와 마찬가지로 저주파수영역에서는 루프전달행렬의 크기가 작은 것이 요구되고, 측정잡음 및 플랜트의 불확실성이 존재하는 고주파수 영역에서는 루프전달행렬의 크기가 작게 되도록하여, 잡음의 영향이 출력에 적게 나타나고, 제어기가 포화되지 않도록 하며, 설계된 제어기가 플랜트 모델의 불확실성을 극복할 수 있게 하는 것이 필요하다. 본 원고에서는 각 전달 행렬들의 특이치의 최대 및 최소값들을 이용하여 다변수 제어기가 갖추어야 할 조건들을 정리하였다.

• The Transactions of the Korea Information Processing Society
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• v.2 no.4
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• pp.611-618
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• 1995

In the high information societies, the requirement of encryption security is increasing so as to protect information from the threat of attacks by illegal changes of data, illegal leakage of data, disorder of data sequences and the unauthorized sender and an unauthorized receiver etc. In this paper, multivariable knapsack crytosystem is proposed for security of computer communication. This system is securer and simpler than the conventional knapsack cryptosystems. And, proposed cryptosystem composed what represented each element of superincreasing vector with multivar able polynomial after transforming it of ciphervector. For the deciphering of ciphertext, the plaintext is determined by using the integers of secret and the superincreasing vector of secret key. Thus, the stability of this cryptosystem is based on the difficulty of obtaining the root that ciphervector becomes the superincreasing vector, in substituting the integers of secret for ciphervector to represent with the miltivariable polynomial. The propriety of proposed multivariable knapsack cryptosystem was proved through computer simulation.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.44 no.6
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• pp.1-10
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• 2007

This paper presents a direct nonlinear multivariable self-tuning PID controller using neural network which adapts to the changing parameters of the nonlinear multivariable system with noises and time delays. The nonlinear multivariable system is divided linear part and nonlinear part. The linear controller are used the self-tuning PID controller that can combine the simple structure of a PID controllers with the characteristics of a self-tuning controller, which can adapt to changes in the environment. The linear controller parameters are obtained by the recursive least square. And the nonlinear controller parameters are achieved the through the Back-propagation neural network. In order to demonstrate the effectiveness of the proposed algorithm, the computer simulation results are presented to adapt the nonlinear multivariable system with noises and time delays and with changed system parameter after a constant time. The proposed PID type nonlinear multivariable self-tuning method using neural network is effective compared with the conventional direct multivariable adaptive controller using neural network.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.11
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• pp.22-33
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• 1999

This paper presents the method for the automatic tuning of a design weighting polynomial parameters of a generalized minimum-variance stochastic ultivariable self-tuning controller which adapts to changes in the higher order nonminimum phase system parameters with time delays and noises. The self-tuning effect is achieved through the recursive least square algorithm at the parameter estimation stage and also through the Robbins-Monro algorithm at the stage of optimizing the design weighting polynomial parameters of the controller. The proposed multivariable self-tuning method is simple and effective compared with pole restriction method. The computer simulation results are presented to adapt the higher order multivariable system with nonminimum phase and with changeable system parameters.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.5
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• pp.191-197
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• 2009

In this paper, multi-variable fuzzy model for efficient combustion control of refuse incineration plant is obtained. First, to obtain model of incineration plant which is complex and nonlinear multi-variable fuzzy modeling is performed. Obtained multi-variable fuzzy model predicts outputs of incinerator almost exactly. Then using multi-variable fuzzy model we can build simulator which is used as operation simulator for building of control strategy and training of operator.

• Proceedings of the KIEE Conference
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• 2001.11c
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• pp.256-259
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• 2001

본 논문에서는 블록 삼각구조를 갖는 다변수 비선형 시스템의 상태 관측기의 설계 문제를 다룬다. 이를 위해 단일 입출력 삼각구조 시스템에 대한 기존의 설계 기법을 다변수 시스템으로 확장한다. 특히, 제안한 관측기의 이득은 시스템의 선형 부분뿐만 아니라 비선형성을 기반으로 설계되어지기 때문에 기존의 고이득 관측기에 비해 과도응답 특성을 개선한다. 또한 오차방정식에 대한 유사 변화을 이용하여 제안한 관측기가 전역 지수적 수렴성을 보임을 증명한다. 마지막으로, 시뮬레이션 예제를 통해 본 논문에서 제안한 설계 기법의 타당성을 입증한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.17 no.8
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• pp.805-815
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• 1992

In this paper, robust decoupling control scheme of miftivarlable systems Is studied. Design methods for Input-Output decoupling systems with robustness against signal failure In arbitrary feedback loop or actuator loop Is suggested based on the Riccati type matrix equation and state feedback, and is simulated In Turbo-Generator systems with B-Input, 2 output. The results of simulation represents the decoupled and stable response against the failure of signal In sensor or actuator loop. However, the system designed by conventional ,it ate feedback shows the unstable response. This method Is applied for robust decoupling control of the complicated multivariable systems.

• Proceedings of the Korean Statistical Society Conference
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• 2002.11a
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• pp.243-248
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• 2002

최근 다변량자료분석과 관련하여 이를 시스템으로 구현하려는 연구가 다양한 각도로 이루어지고 있다. 이러한 연구들의 공통적인 특징은 일반 사용자들에게 고급 통계분석기법을 편리하게 활용할 수 있도록 GUI(Graphical User Interface) 환경의 시스템을 제공해 준 것이다. 이런 연구의 연장선상에서 본 연구에서는 다변량자료분석 시스템을 구현하는데 있어 사회 각 분야에서 가장 널리 활용되고 있는 사무용 프로그램인 마이크로소프트(Microsoft) Excel을 활용하여 일반 사용자들도 다변량분석을 쉽게 활용할 수 있도록 대화식 시스템을 개발하였다.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.5
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• pp.433-440
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• 2001

In this paper, we propose an automatic navigation system of ship using multivariable fuzzy control system in dynamic sea environment. The proposed multivariable fuzzy control system consists of two subsystems with three inputs and two outputs. The effectiveness of the proposed multivariable fuzzy control system is shown by simulation results.