• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국내학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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• pp.173-178
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• 1993

In this paper, we present an algorithmic technique for determining a feedback compensator which will stabilize the interval dynamic system, specifically, the robust regulator design for interval plants. The approach taken here is to allow the system parameters to live within prescribed intervals then design a dynamic feedback compensator which guarantees closed-loop system stable. The main contribution of this paper is the idea of introducing a "simplified Kharitonov's result" for low order polynomials to search for suitable compensator parameters in the compensator parameter space to make the uncertain syste robust. We also design the robust regulator which will D-stabilize (have the closed-loop poles in the left sector only) the dynamic interval system while having good performance. The nuerical examples are given to show the substantially improved robustness which results from our approach. approach.

• International journal of advanced smart convergence
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• 제7권4호
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• pp.19-26
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• 2018

One of the distinct features of Wireless Sensor Networks (WSNs) is duty cycling mechanism, which is used to conserve energy and extend the network lifetime. Large duty cycle interval introduces lower energy consumption, meanwhile longer end-to-end (E2E) delay. In this paper, we introduce an energy consumption minimization problem for duty-cycled WSNs. We have applied Q-learning algorithm to obtain the maximum duty cycle interval which supports various delay requirements and given Delay Success ratio (DSR) i.e. the required probability of packets arriving at the sink before given delay bound. Our approach only requires sink to compute Q-leaning which makes it practical to implement. Nodes in the different group have the different duty cycle interval in our proposed method and nodes don't need to know the information of the neighboring node. Performance metrics show that our proposed scheme outperforms existing algorithms in terms of energy efficiency while assuring the required delay bound and DSR.

• International Journal of Aeronautical and Space Sciences
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• 제8권1호
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• pp.10-20
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• 2007

For spacecraft attitude control, reaction wheel (RW) steering laws with more than three wheels for three-axis attitude control can be derived by using a control allocation (CA) approach.1-2 The CA technique deals with a problem of distributing a given control demand to available sets of actuators.3-4 There are many references for CA with applications to aerospace systems. For spacecraft, the control torque command for three body-fixed reference frames can be constructed by a combination of multiple wheels, usually four-wheel pyramid sets. Multi-wheel configurations can be exploited to satisfy a body-axis control torque requirement while satisfying objectives such as minimum control energy.1-2 In general, the reaction wheel steering laws determine required torque command for each wheel in the form of matrix pseudo-inverse. In general, the attitude control command is generated in the form of a feedback control. The spacecraft body angular rate measured by gyros is used to estimate angular displacement also.⁵ Combination of the body angular rate and attitude parameters such as quaternion and MRPs(Modified Rodrigues Parameters) is typically used in synthesizing the control command which should be produced by RWs.¹ The attitude sensor signals are usually corrupted by noise; gyros tend to contain errors such as drift and random noise. The attitude determination system can estimate such errors, and provide best true signals for feedback control.⁶ Even if the attitude determination system, for instance, sophisticated algorithm such as the EKF(Extended Kalman Filter) algorithm⁶, can eliminate the errors efficiently, it is quite probable that the control command still contains noise sources. The noise and/or other high frequency components in the control command would cause the wheel speed to change in an undesirable manner. The closed-loop system, governed by the feedback control law, is also directly affected by the noise due to imperfect sensor characteristics. The noise components in the sensor signal should be mitigated so that the control command is isolated from the noise effect. This can be done by adding a filter to the sensor output or preventing rapid change in the control command. Dynamic control allocation(DCA), recently studied by Härkegård, is to distribute the control command in the sense of dynamics⁴: the allocation is made over a certain time interval, not a fixed time instant. The dynamic behavior of the control command is taken into account in the course of distributing the control command. Not only the control command requirement, but also variation of the control command over a sampling interval is included in the performance criterion to be optimized. The result is a control command in the form of a finite difference equation over the given time interval.⁴ It results in a filter dynamics by taking the previous control command into account for the synthesis of current control command. Stability of the proposed dynamic control allocation (CA) approach was proved to ensure the control command is bounded at the steady-state. In this study, we extended the results presented in Ref. 4 by adding a two-step dynamic CA term in deriving the control allocation law. Also, the strict equality constraint, between the virtual and actual control inputs, is relaxed in order to construct control command with a smooth profile. The proposed DCA technique is applied to a spacecraft attitude control problem. The sensor noise and/or irregular signals, which are existent in most of spacecraft attitude sensors, can be handled effectively by the proposed approach.

• 한국산업경영시스템학회:학술대회논문집
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• 한국산업경영시스템학회 2002년도 춘계학술대회
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• pp.359-364
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• 2002

In case of pn control chart often used in mass production system of plant industry and so on, we could evaluate it's performance by the approximation to normal distribution. It has many differences according to sample sizes and defective fraction, and have disadvantage that needs much samples to use the normal distribution approximation. Existent control charts can not detect the cause of process something wrong because it is taking the sampling intervals of fixed length about all times from the process. Therefore, to overcome this shortcoming we use VSI(variable sampling intervals) techniques in this paper. This technique takes a long sampling interval to have the next sampling point if the sample point is in stable state, and if the sample point is near control lines, it takes short sampling interval because the probability to escape control limit is high. To analyze performance of pn control charts that have existent fixed sampling intervals(FSI) and that use VSI technique, we compare ATS of two charts, and analyze the performance of each control chart by the sample sizes, process fraction defective and control limits that Ryan and Schwertman had proposed.

• 대한전자공학회논문지TC
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• 제44권10호
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• pp.99-109
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• 2007

무선랜에서 QoS를 지원하기 위해 제안된 IEEE 802.l1e의 HCCA (HCF Controlled Channel Access)는 폴링에 의한 채널 제어 방식이다. 즉 HCCA는 중앙 제어 방식이기 때문에 자원을 분배하기 위한 스케줄링 알고리즘이 필요하며 IEEE 802.11e 표준에는 Reference 스케줄러가 제시되어 있다. Reference 스케줄러븐 폴링 리스트에 있는 모든 스테이션들을 동일한 주기로 폴링하기 때문에 잦은 폴링으로 인해 오버헤드 면에서 비효율적이며, TXOP (Transmission Opportunity)의 활용률 면에서도 낮다. 본 논문에서는 이러한 단점을 극복하고자 스테이션들의 MSI (Maximum Service Interval)에 따라 폴링 주기를 단계별로 나누어서 스케줄링하기 위한 트래픽 스케줄링 및 수락 제어 (admission control) 알고리즘을 제안한다. 제안하는 알고리즘에서는 스테이션들이 자시의 MSI와 가능한 비슷한 주기로 폴링되기 때문에 Reference 스케줄러에 비해 폴링 오버헤드가 감소하게 되며, TXOP 활용률도 증가하게 된다. 시뮬레이션을 통한 Reference 스케줄러와의 성능 비교는 제안된 알고리즘이 전체적인 전송률 면에서 더 높은 성능을 보이고 더 많은 수의 스테이션이 서비스가 가능함을 보여준다.

• 한국정보처리학회논문지
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• 제6권1호
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• pp.148-158
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• 1999

ATM LAn등으로부터 입력되는 ABR 트래픽이 RM설에 의해 제어되기 때문에 이들 트랙픽을 공중망 ATM 트랙픽에 대하여 적용되는 인터페이스 기능을 보편적인 연동 구조인 "Projected Node"[6] 접근 방식에 기반을 두고 연동 구조를 제안하고 있다. 이를 위해 도입된 AUPU(ABR Ine4rface Proxy UNit)는 ATM LAN 수위치로부터 ATM 공중망 스위치로 입력되는 ERICA 메커니즘에 의한 ABR 트래픽의 인터페이스 구조로 설계되었다. AIPU에서 사용되는 ABR 트래픽 제어 매커니즘은기존의 단거리 중심미의 LAN형태로부터 장거리 액세스가 가능한 수정된 메커니즘 특성을 지니고 있다. 다양한 RTT(Round Trip Time)에 따른 동적인 UCI(Update Count Interval)를 적용할수 이Tssm 동적 속도수정 간격제어 (DYnamic updte Count Interval : DUCI) 메커니즘이 AIPU에서 동작하는 구조가 본 논문에서 제안되었다. 그리고 본 논문은 DUCI 메커니즘의 성능 및 주요 특성이 기존의 ERICA 메커니즘의 문제검과 비교하여 시뮬레이션을 통하여 분석되었다.통하여 분석되었다.

• Smart Structures and Systems
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• 제31권2호
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• pp.199-212
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• 2023

Nowadays fuzzy logic in control applications is a well-recognized alternative, and this is thanks to its inherent advantages. Generalized type-2 fuzzy sets allow for a third dimension to capture higher order uncertainty and therefore offer a very powerful model for uncertainty handling in real world applications. With the recent advances that allowed the performance of general type-2 fuzzy logic controllers to increase, it is now expected to see the widespread of type-2 fuzzy logic controllers to many challenging applications in particular in problems of structural control, that is the case study in this paper. It should be highlighted that this is the first application of general type-2 fuzzy approach in civil structures. In the following, general type-2 fuzzy logic controller (GT2FLC) will be used for active control of a 9-story nonlinear benchmark building. The design of type-1 and interval type-2 fuzzy logic controllers is also considered for the purpose of comparison with the GT2FLC. The performance of the controller is validated through the computer simulation on MATLAB. It is demonstrated that extra design degrees of freedom achieved by GT2FLC, allow a greater potential to better model and handle the uncertainties involved in the nature of earthquakes and control systems. GT2FLC outperforms successfully a control system that uses T1 and IT2 FLCs.

• 한국통신학회논문지
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• 제34권3B호
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• pp.255-263
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• 2009

본 논문에서는 IEEE 802.15.4 클러스터-트리 기반 LR-WPAN(Low Rate-Wireless Personal Area Network)에서 각 노드가 데이터량의 변화에 따라 실제 데이터 수신 구간을 조절하기 위한 적응적 Beacon 스케줄링 알고리즘을 제안한다. Beacon Interval을 짧게 조절하면, 노드는 일정한 시간동안에 더 많은 양의 데이터를 수신할 수 있다. 그러나 짧은 Beacon Interval을 가진 노드는 에너지 소비가 증가하게 되므로, 다시 수신할 데이터량이 줄어들면 Beacon Interval을 길게 조절함으로써 에너지 소비를 최적화시킨다. NS-2 시뮬레이터를 이용하여 검증한 결과, 제안하는 적응적 Beacon 스케줄링 알고리즘은 고정된 Beacon Interval을 사용하는 기법에 비해, 패킷 손실률과 End-to-End 전달 지연시간 측면에서 더 나은 성능을 보인다. 따라서 본 알고리즘과 결과는 향후 클러스터-트리 기반 LR-WPAN 설계 시, 서비스의 지연시간을 보장해야 하는 응용분야에 유용하게 사용될 수 있다.

• Asian-Australasian Journal of Animal Sciences
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• 제19권2호
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• pp.176-180
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• 2006

This study was carried out to establish clipping interval of Pennisetum orientale (PO) and Panicum antidotale (PA) to get maximum biomass production with optimal nutritional value for Nili buffaloes. Two clipping intervals i.e. $CI_1$, and $CI_2$ (clipped after every one and two months, respectively) were studied for both grasses. The data on various parameters were compared with PO and PA each clipped at 4 months of age (control). Leaf to stem ratio in both PO and PA declined with increasing clipping interval. Concentration of dry matter (DM) and organic matter (OM) increased (p<0.05) whereas crude protein contents decreased with increasing clipping interval in both grasses. Crude protein and dry herbage yields in PO and PA increased (p<0.05) with increasing clipping interval. The DM and neutral detergent fiber (NDF) digestibilities of PO and PA in ruminally cannulated buffalo bulls decreased (p<0.05) due to more lignification with increasing clipping interval. Ruminal extent of digestion, rate of disappearance of DM and neutral detergent fiber of PO and PA decreased in buffaloes while ruminal lag time of these nutrients increased significantly (p<0.05) with increasing clipping interval. The results from the study imply that two month clipping interval for both PO and PA grasses favored higher biomass with greater nutritional value for Nili buffaloes and sustained grass vigor.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2011년도 제42회 하계학술대회
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• pp.1732-1733
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• 2011

This paper presents observer-based controller design for interval type-2 fuzzy system with staircase membership approximation. In type-2 fuzzy case, membership function is itself fuzzy set itself. Thus, type-2 fuzzy system can deal with parametric uncertainties of nonlinear system by capturing the uncertainties in membership function. Likewise, stabilization condition of type-2 fuzzy system is derived from quadratic Lyapunov function, and it goes to linear matrix inequality. Furthermore, in this paper, to relax the conservativeness of stabilization condition, staircase membership function approximating method is applied. Observer-based control method is adopted to control system which has some unmeasurable states. To prove suitability of our proposed method, numerical example is presented.