• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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• pp.194-198
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• 1998

A novel fuzzy basis function vector- based adaptive control approach for Multi-input and Multi-output(MIMO) system is presented in this paper, in which the nonlinear plants is first linearised, the fuzzy basis function vector is then introduced to adaptively learn the upper bound of the system uncertainty vector, and its output is used as the paramenters of the compensator in the sense that both the robustness and the asymptotic error convergence can be obtained for the closed loop nonlinear control system.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국내학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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• pp.1213-1218
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• 1993

Variable structure control is applied to the robust output tracking control problem of general nonlinear multi-input multi-output (MIMO) systems. Using the concept of relative degree and minimum phase, input/output(I/O) linearization is undertaken. For I/O the linearized system, a new sliding hyperplanes design method is proposed. In this procedure, we can construct very robust and efficient sliding mode controller for general nonlinear systems of relative degree higher than two. The control results are illustrated by adopting a numerical example.

• 대한전자공학회논문지SD
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• 제49권4호
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• pp.34-42
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• 2012

본 논문에서는 무선전력전송 시스템 수신부의 넓은 입력 범위의 CMOS 다중 모드 정류기를 설계하였다. 다중 모드 정류기의 출력전압을 비교기로 감지하고, 스위치를 컨트롤 하여 정류기 모드를 전환한다. 다중 모드 정류기는 입력 전압의 크기에 따라 자동으로 전파 정류기, 1단 전압 체배기, 2단 전압 체배기로 동작한다. 일반적인 전파 정류기는 10 V에서 20 V까지의 입력 AC 전압에 대해 9 V에서 19 V까지의 출력 DC 전압을 생성할 수 있다. 다중 모드 정류기는 전파 정류기 보다 입력 범위를 5 V 향상시켜서 5 V에서 20 V까지의 입력 AC 전압에 대해 출력 DC 전압은 7.5 V에서 19 V까지 생성되는 것을 보여준다. 다중 모드 정류기의 효율은 전파 정류기 모드에서 94%이다. 제안하는 다중 모드 정류기는 0.35${\mu}m$ BCD 공정으로 설계되었고, 면적은 $2500{\mu}m{\times}1750{\mu}m$ 이다.

• 대한기계학회논문집B
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• 제25권4호
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• pp.467-474
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• 2001

The mathematical model of a air-conditioning system is generally very complex and difficult to apply to controller design. In this paper, simple models applicable to the controller design are obtained by modeling the air-conditioning system by single-input single-output between compressor speed and indoor temperature, and by multi-input single-output between compressor speed, indoor fan speed and indoor temperature. Using these empirical models, model predictive control(MPC) technique was implemented for indoor temperature control of the air-conditioning system. It has been shown from various experiments that the indoor temperature control based on the MPC scheme yields reasonably good tracking performance with smooth changes in plant inputs. this multi-input multi-output MPC approach can be extended to multi air- conditioning systems where the conventional PID control scheme is very difficult to apply.

• 한국통신학회논문지
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• 제39A권12호
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• pp.774-776
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• 2014

본 논문은 가시선 (line-of-sight) 성분이 지배적인 채널 환경에서 다중 사용자로의 정보 전송을 위해 이중 편파를 이용하는 다중 안테나 시스템을 제안한다. 이 시스템은 공간 및 편파 자원을 효율적으로 활용하여 기존의 단일 편파 안테나를 이용하는 MU-MIMO(multi-user multiple input multiple output) 시스템 보다 향상된 총 전송률을 제공할 수 있음을 보인다

• Current Optics and Photonics
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• 제8권3호
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• pp.215-224
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• 2024

In medium- and long-range optical imaging systems, atmospheric turbulence causes blurring and distortion of images, resulting in loss of image information. An image-restoration method based on an adaptive feature-fusion multi-input-multi-output (MIMO) dense U-shaped network (Unet) is proposed, to restore a single image degraded by atmospheric turbulence. The network's model is based on the MIMO-Unet framework and incorporates patch-embedding shallow-convolution modules. These modules help in extracting shallow features of images and facilitate the processing of the multi-input dense encoding modules that follow. The combination of these modules improves the model's ability to analyze and extract features effectively. An asymmetric feature-fusion module is utilized to combine encoded features at varying scales, facilitating the feature reconstruction of the subsequent multi-output decoding modules for restoration of turbulence-degraded images. Based on experimental results, the adaptive feature-fusion MIMO dense U-shaped network outperforms traditional restoration methods, CMFNet network models, and standard MIMO-Unet network models, in terms of image-quality restoration. It effectively minimizes geometric deformation and blurring of images.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1990년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 26-27 Oct. 1990
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• pp.1130-1134
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• 1990

In this paper, we propose a mthod to decouple the multi-input multi-output two-dimensional system. Then, we analyze the realization dimension of the feedback, feedforward given to decouple. Moreover, we consider the possibility of the reduction of the dynamical dimension needed to decouple. Besides, in order to stabilize the decoupled two-dimensional system, we suggest a method to assign the poles of each entry of the transfer function matrix to the desired positions.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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• pp.1091-1097
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• 1991

A logical and systematic procedure to derive a mathematical model for magnetically levitation(maglev) systems with a combined lift and guidance is developed by using and graph. First, bond graph is constructed for the energy-feeding system with magnetic leakage flux. And, the overall maglev system in which lift and guidance dynamics are coupled is modeled by using the concept of multi-port field in bond notations. Finally, the LQG/LTR control systems are designed for single-input single-output and for multi-input multi-output maglev systems. In this paper, it has been shown that the bond graph is an excellent method for modeling multi-energy domain systems such as maglev systems and the multivariable control system is required to improve the performance of the maglev system with a combined lift and guidance.

• 대한전기학회논문지
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• 제32권11호
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• pp.394-403
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• 1983

본논문은 행렬비로 기미되는 다입.출력 연속시간 시스템에 대한 기준 모델형 적응제어에 관하여 고찰한다. 제어기는 monopoli - Narendra type 으로서 파라메타 적응칙에 시변리득행렬을 도입하였으며 가조정 제어기를 포함한 플랜트의 전달함수 행렬이 기준모델의 그것에 점차 따라가도록 한다. interactor 행렬에 대한 지식을 비롯한 약간의 가정하에서 단일 입.출력 시스템의 경우의 알고리즘이 적절하게 적용될 수 있음을 보인다. 적응칙의 수렴성은 안정도 이론을 이용하여 증명하며 전체 시스템의 안정성은 해석적인 고찰에 의해 보여 준다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.157-157
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• 2000

In the fuzzy control for the multi-variable system, it is difficult to obtain the fuzzy rule. Therefore, the parallel structure of the independent single input-single output fuzzy controller using a pairing between the input and output variable is applied to the multi-variable system. The concept of relative gain matrix is used to obtain the input-output pairs. However, among the input/output variables which are not paired the interactive effects should be taken into account. these mutual coupling of variables affect the control performance. Therefore, for the control system with a strong coupling property, the control performance is sometimes lowered. In this paper, the effect of mutual coupling of variables is considered by tile introduction of a simple compensator. This compensator adjusts the degree of coupling between variables using a neural network. In this proposed neuro-fuzzy controller, the Neural network which is realized by back-propagation algorithm, adjusts the mutual coupling weight between variables.