• 방송공학회논문지
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• 제10권4호통권29호
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• pp.463-473
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• 2005

본 논문에서는 JVT에서 표준화가 진행중인 스케일러블 동영상 부호화의 부호화 효율을 높이기 위해 영상 시퀀스의 시간적변환 특성을 고려하여 적응적으로 GOP의 크기를 선택하여 부호화를 하는 방법을 제안한다. 일반적으로 SVC에서는 한 영상 시퀀스에 대해서 GOP의 크기를 고정하여 부호화를 하는데, GOP의 크기와 영상 시퀀스의 시간적 특성에 따라 부호화 효율이 변하게 된다. 이에 비디오 시퀀스의 지역적인 시간적 특성에 따라 GOP의 크기를 적응적으로 가변 하여 부호화하는 방식을 제안한다. 실험 결과 제안된 적응적 GOP 구조 (Adaptive GOP Structure) 부호화 방법의 부호화 효율이 개선되었으며, Crew 시퀀스에서는 0.63dB 가 향상되었다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.284-284
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• 2000

In adaptive fuzzy control systems. fuzzy systems are used to approximate the unknown plant nonlinearities. Until now. most of the papers in the field of controller design for nonlinear system using fuzzy systems considers the affine system with fixed grid-rule structure based on system state availability. This paper considers observer-based nonlinear controller and dynamic fuzzy rule structure. Adaptive laws for fuzzy parameters for state observer and fuzzy rule structure are established so that the whole system is stable in the sense of Lyapunov.

• 한국통신학회논문지
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• 제24권9A호
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• pp.1265-1275
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• 1999

CDMA 통신 시스템에서 적응 MMSE 수신기는 다중접속간섭을 제거하는데 사용될 수 있다. 그러나 일반적인 적응 MMSE 수신기의 구조는 빠른 페이딩 채널 환경으로 인해 실제 이동환경에는 적용이 불가능하다. 또한 다중 경로 수신 상황은 최적 탭 계수값으로의 수렴을 더욱 어렵게 한다. 본 논문에서는 CDMA 순방향 링크의 다중경로 페이딩 환경에 대해 논의해 보고 이러한 환경에서 이동국에 적용할 수 있는 적응 MMSE 레이크 수신기 구조를 제안하고 있다. 제안된 적응 MMSE 수신기는 수신 신호의 지연값과 신호의 진폭, 위상 변동과 같은 복소 채널계수값의 추정이 요구된다. 이러한 문제는 순방향 링크에 존재하는 공동 파일럿 채널을 이용함으로써 해결 가능하다. 파일럿 채널은 일반적으로 통화 채널보다 높은 송신 전력 레벨을 가지게 되므로 이를 이용할 경우 보다 정확한 채널 추정이 가능하게 된다. 게다가 레이크 구조를 사용할 경우 다중경로 페이딩 환경에서 신뢰할 수 있는 참조 신호로 사용될 수 있을 정도의 정확하고 안정된 결과를 제공하게 된다. 이러한 구조를 사용함으로써 LMS나 NLMS와 같은 일반적인 적응 알고리즘이 적응 MMSE 수신기에 적용이 가능하게 해준다.

• Earthquakes and Structures
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• 제11권6호
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• pp.1077-1099
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• 2016

One of the main shortcomings in the current passive base isolation system is lack of adaptability. The recent research and development of a novel adaptive seismic isolator based on magnetorheological elastomer (MRE) material has created an opportunity to add adaptability to base isolation systems for civil structures. The new MRE based base isolator is able to significantly alter its shear modulus or lateral stiffness with the applied magnetic field or electric current, which makes it a competitive candidate to develop an adaptive base isolation system. This paper aims at exploring suitable control algorithms for such adaptive base isolation system by developing a close-loop semi-active control system for a building structure equipped with MRE base isolators. The MRE base isolator is simulated by a numerical model derived from experimental characterization based on the Bouc-Wen Model, which is able to describe the force-displacement response of the device accurately. The parameters of Bouc-Wen Model such as the stiffness and the damping coefficients are described as functions of the applied current. The state-space model is built by analyzing the dynamic property of the structure embedded with MRE base isolators. A Lyapunov-based controller is designed to adaptively vary the current applied to MRE base isolator to suppress the quake-induced vibrations. The proposed control method is applied to a widely used benchmark base-isolated structure by numerical simulation. The performance of the adaptive base isolation system was evaluated through comparison with optimal passive base isolation system and a passive base isolation system with optimized base shear. It is concluded that the adaptive base isolation system with proposed Lyapunov-based semi-active control surpasses the performance of other two passive systems in protecting the civil structures under seismic events.

• 대한전기학회논문지
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• 제35권11호
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• pp.529-534
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• 1986

In recent year, there have been much techniques for designing globally stable adaptive control systems when the unknown plant is minimum phase. This paper presents a new seheme for indirect adaptive control structure for nonminimum phase plant of which parameters are estimated from the least-square algorithm. Its effectiveness has been demonstrated by computer simulation carried out for a second-order plant.

• Smart Structures and Systems
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• 제11권3호
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• pp.315-329
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• 2013

The construction of an experimental nonlinear structural model with little cost and unlimited repeatability for vibration control study represents a challenging task, especially for material nonlinearity. This paper reports the design, analysis and vibration control of a nonlinear structural experiment platform with adjustable hinges. In our approach, magnetorheological rotary brakes are substituted for the joints of a frame structure to simulate the nonlinear material behaviors of plastic hinges. For vibration control, a separate magnetorheological damper was employed to provide semi-active damping force to the nonlinear structure. A dynamic neural network was designed as a state observer to enable the feedback based semi-active vibration control. Based on the dynamic neural network observer, an adaptive fuzzy sliding mode based output control was developed for the magnetorheological damper to suppress the vibrations of the structure. The performance of the intelligent control algorithm was studied by subjecting the structure to shake table experiments. Experimental results show that the magnetorheological rotary brake can simulate the nonlinearity of the structural model with good repeatability. Moreover, different nonlinear behaviors can be achieved by controlling the input voltage of magnetorheological rotary damper. Different levels of nonlinearity in the vibration response of the structure can be achieved with the above adaptive fuzzy sliding mode control algorithm using a dynamic neural network observer.

• Structural Engineering and Mechanics
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• 제41권4호
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• pp.559-573
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• 2012

An adaptive modeling and simulation technique is introduced for the effective and reliable fluid-structure interaction analysis using MSC/Dytran for large-scale complex pressurized liquid containment. The proposed method is composed of a series of the global rigid sloshing analysis and the locally detailed fluid-structure analysis. The critical time at which the system exhibits the severe liquid sloshing response is sought through the former analysis, while the fluid-structure interaction in the local region of interest at the critical time is analyzed by the latter analysis. Differing from the global coarse model, the local fine model considers not only the complex geometry and flexibility of structure but the effect of internal pressure. The locally detailed FSI problem is solved in terms of multi-material volume fractions and the flow and pressure fields obtained by the global analysis at the critical time are specified as the initial conditions. An in-house program for mapping the global analysis results onto the fine-scale local FSI model is developed. The validity and effectiveness of the proposed method are verified through an illustrative numerical experiment.

• 한국전자통신학회논문지
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• 제12권5호
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• pp.777-782
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• 2017

신호의 도래각(: Angle-of-Arrival, AOA) 추정기 및 간섭 제거기 등으로 구성된 적응 빔형성기 기반의 신호정보 수집(: Signal Intelligence, SIGINT) 시스템은 레이더나 위성 등과 같은 각종 장비를 활용하여 다양한 신호정보를 수집하기 위한 최첨단 기술이다. 본 논문에서는 도래각 추정기와 적응 빔형성기로 구성된 효율적인 신호정보 수집 시스템의 구조를 제안한다. 다양한 신호의 도래각 정보를 추정하기 위해 MUSIC(: Multiple Signal Classification) 알고리즘을 사용하고, 불필요한 간섭 신호를 제거하기 위해 MVDR(: Minimum Variance Distortionless Response) 기법을 사용한다. 또한, 컴퓨터 시뮬레이션을 통해 제안된 적응 빔형성기의 성능을 평가한다.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 1997년도 춘계학술대회 논문집
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• pp.131-136
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• 1997

This paper represent the variable structure adaptive mode control technique which is new approach to implement the robust control of industrial robot manipulator with external disturbances and parameter uncertainties. Sliding mode control is a well-known technique for robust control of uncertain nonlinear systems. The robustness of sliding model controllers can be shown in contiuous time, but digital implementation may not preserve robustness properties because the sampling process limits the existence of a true sliding mode. the sampling process often forces the trajectory to oscillate in the neighborhood of the sliding surface. Adaptive control technique is particularly well-suited to robot manipulators where dynamic model is highly complex and may contain unknown parameters. Adaptive control algorithm is designed by using the principle of the model reference adaptive control method based upon the hyperstability theory. The proposed control scheme has a simple sturcture is computationally fast and does not require knowledge of the complex dynamic model or the parameter values of the manipulator or the payload. Simulation results show that the proposed method not only improves the performance of the system but also reduces the chattering problem of sliding mode control, Consequently, it is expected that the new adaptive sliding mode control algorithm will be suited for various practical applications of industrial robot control system.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2001년도 춘계학술대회논문집
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• pp.302-307
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• 2001

This research is concerned with the development of a real-time adaptive PPF controller for the active vibration suppression of smart structure. In general, the tuning of the PPF controller is carried out off-line. In this research, the real-time learning algorithm is developed to find the optimal filter frequency of the PPF controller in real time and the efficacy of the algorithm is proved by implementing it in real time. To this end, the adaptive algorithm is developed by applying the gradient descent method to the predefined performance index, which is similar to the method used popularly in the optimization and neural network controller design. The experiment was carried out to verify the validity of the adaptive PPF controller developed in this research. The experimental results showed that adaptive PPF controller is effective for active vibration control of the structure which is excited by either impact or harmonic disturbance. The filter frequency of the PPF controller can be tuned in a very short period of time thus proving the efficiency of the adaptive PPF controller.