• 제목/요약/키워드: Guaranteed cost filter

검색결과 6건 처리시간 0.019초

Robust Guaranteed Cost Filtering for Uncertain Systems with Time-Varying Delay Via LMI Approach

  • Kim, Jong-Hae
    • Transactions on Control, Automation and Systems Engineering
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    • 제3권1호
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    • pp.27-31
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    • 2001
  • In this paper, we consider the guaranteed cost filtering design method for time-varying delay system with parameter uncertainties by LMI(Linear Matrix Inequality) approach. The objective is to design a stable guaranteed cost filter which minimizes the guaranteed cost fo the closed loop systems in filtering error dynamics. The sufficient conditions for the existence of filter, the guaranteed cost filter design method, and th guaranteed cost upper bound are proposed by LMI technique in terms of all finding variables. Finally, we give an example to check the validity of the proposed method.

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Discrete-Time Robust Guaranteed Cost Filtering for Convex Bounded Uncertain Systems With Time Delay

  • Kim, Jong-Hae
    • Transactions on Control, Automation and Systems Engineering
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    • 제4권4호
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    • pp.324-329
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    • 2002
  • In this paper, the guaranteed cost filtering design method for linear time delay systems with convex bounded uncertainties in discrete-time case is presented. The uncertain parameters are assumed to be unknown but belonging to known convex compact set of polytotype less conservative than norm bounded parameter uncertainty. The main purpose is to design a stable filter which minimizes the guaranteed cost. The sufficient condition for the existence of filter, the guaranteed cost filter design method, and the upper bound of the guaranteed cost are proposed. Since the proposed sufficient conditions are LMI(linear matrix inequality) forms in terms of all finding variables, all solutions can be obtained simultaneously by means of powerful convex programming tools with global convergence assured. Finally, a numerical example is given to check the validity of the proposed method.

시간지연 퍼지 시스템의 보장비용 및 $H_{\infty}$ 필터링 (Guaranteed Cost and $H_{\infty}$ Filtering for Delayed Fuzzy Dynamic Systems)

  • 이갑래;조희수;박홍배
    • 전자공학회논문지SC
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    • 제40권2호
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    • pp.10-18
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    • 2003
  • 본 논문은 시간지연을 갖는 퍼지 시스템에 대한 보장 비용과 H/sub ∞/ 외란감쇄 성능을 갖는 퍼지 필터링 문제를 다룬다. 본 연구는 외란감쇄에 대한 확장 L₂ 노옴 제한조건과 LQ 비용함수의 성능 상한치 제한조건을 만족하는 필터링 설계 방법이다. Lyapunov 함수를 이용하여 필터의 존재성에 대한 충분조건을 유도하고 선형행렬부등식(LMI: linear matrix inequality)으로 나타낸다. 필터 설계는 LMI 해를 구함으로써 바로 구할 수 있다. 제안한 방법의 설계 과정을 설명하기 위한 시뮬레이션 예제를 또한 나타낸다.

저가형 MEMS 관성측정장치 기반 INS/GPS 통합 항법 장치에서 방위각 추정 성능 향상 (Performance Improvement of Azimuth Estimation in Low Cost MEMS IMU based INS/GPS Integrated Navigation System)

  • 천세범;허문범
    • 한국항행학회논문지
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    • 제16권5호
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    • pp.738-743
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    • 2012
  • INS/GPS 통합 항법 필터는 주로 칼만 필터를 이용하여 구성되고 있다. 그러나 낮은 성능의 관성 센서를 이용한 INS/GPS 통합 항법 필터의 경우 센서 오차 레벨 등의 문제로 인해 정확한 방위각 정보의 제공이 곤란하며, 이로 인해 통합 필터를 구성하는 칼만 필터의 추정 성능이나 안정성을 보장할 수 없게 된다. 본 논문에서는 칼만 필터와 파티클 필터의 결합된 형태의 국지선형 파티클 필터를 이용하여 초기 방위각 오차를 극복할 수 있는 방법을 제시하였다.

Development of a CSGPS/DR Integrated System for High-precision Trajectory Estimation for the Purpose of Vehicle Navigation

  • Yoo, Sang-Hoon;Lim, Jeong-Min;Oh, Jeong-Hun;Kim, Ho-Beom;Lee, Kwang-Eog;Sung, Tae-Kyung
    • Journal of Positioning, Navigation, and Timing
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    • 제4권3호
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    • pp.123-130
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    • 2015
  • In this study, a carrier smoothed global positioning system / dead reckoning (CSGPS/DR) integrated system for high-precision trajectory estimation for the purpose of vehicle navigation was proposed. Existing code-based GPS has a low position accuracy, and carrier-phase differential global positioning system (CPDGPS) has a long waiting time for high-precision positioning and has a problem of high cost due to the establishment of infrastructure. To resolve this, the continuity of a trajectory was guaranteed by integrating CSGPS and DR. The results of the experiment indicated that the trajectory precision of the code-based GPS showed an error performance of more than 30cm, while that of the CSGPS/DR integrated system showed an error performance of less than 10cm. Based on this, it was found that the trajectory precision of the proposed CSGPS/DR integrated system is superior to that of the code-based GPS.

Tracking Position Control of DC Servo Motor in LonWorks/IP Network

  • Song, Ki-Won;Choi, Gi-Sang;Choi, Gi-Heung
    • International Journal of Control, Automation, and Systems
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    • 제6권2호
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    • pp.186-193
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    • 2008
  • The Internet's low cost and ubiquity present an attractive option for real-time distributed control of processes on the factory floor. When integrated with the Internet, the LonWorks open control network can give ubiquitous accessibility with the distributed control nature of information on the factory floor. One of the most important points in real-time distributed control of processes is timely response. There are many processes on the factory floor that require timely response. However, the uncertain time delay inherent in the network makes it difficult to guarantee timely response in many cases. Especially, the transmission characteristics of the LonWorks/IP network show a highly stochastic nature. Therefore, the time delay problem has to be resolved to achieve high performance and quality of the real-time distributed control of the process in the LonWorks/IP Virtual Device Network (VDN). It should be properly predicted and compensated. In this paper, a new distributed control scheme that can compensate for the effects of the time delay in the network is proposed. It is based on the PID controller augmented with the Smith predictor and disturbance observer. Designing methods for output feedback filter and disturbance observer are also proposed. Tracking position control experiment of a geared DC Servo motor is performed using the proposed control method. The performance of the proposed controller is compared with that of the Internal Model Controller (IMC) with the Smith predictor. The result shows that the performance is improved and guaranteed by augmenting a PID controller with both the Smith predictor and disturbance observer under the stochastic time delay in the LonWorks/IP VDN.