• 제어로봇시스템학회논문지
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• 제2권1호
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• pp.60-66
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• 1996

Model Based Predictive Control(MBPC) has been widely used in predictive control since 80's. GPC[1] which is the superset of many MBPC strategies a popular method, but GPC has some weakness, such as insufficient stability analysis, non-applicability to internally unstable systems. However, CRHPC[2] proposed in 1991 overcomes the above limitations. So we chose RHPC based on CRHPC for electric furnace control. An electric furnace which has nonlinear properties and large time delay is difficult to control by linear controller because it needs nearly perfect modelling and optimal gain in case of PID. As a result, those controls are very time-consuming. In this paper, we applied RHPC with equality constraint to electric furnace. The reults of experiments also include the case of RHPC with monotonic weighting improving the transient response and including unmodelled dynamics. So, This paper proved the practical aspect of RHPC for real processes.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1995년도 Proceedings of the Korea Automation Control Conference, 10th (KACC); Seoul, Korea; 23-25 Oct. 1995
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• pp.22-25
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• 1995

This paper shows adaptive control using RHPC(Receding Horizon Predictive Control) with equality constraint which applied to Electric Furnace. The control strategy includes monotonic weighting (improving transient response) and pre-filtering (enhancing robustness), which is effective on real process. We can observe the performance of RHPC and confirm the practical aspect of RHPC with unmodelled dynamics through the experiment of Electric Furnace. Finally, this paper verifies the feasibility of RHPC to real process.

• International Journal of Control, Automation, and Systems
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• 제2권4호
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• pp.475-484
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• 2004

In this paper, we present a dynamic output-feedback receding horizon $H_{\infty}$controller for linear discrete-time systems with disturbance. The controller is obtained numerically from the finite horizon output-feedback $H_{\infty}$optimization problem, which is, in fact, hardly solved analytically. Under a matrix inequality condition on the terminal weighting matrix, the monotonic decreasing property of the cost is shown. This property guarantees both the closed-loop stability and the $H_{\infty}$norm bound. Then, we extend the proposed design method to a reference tracking problem and a problem for time-varying systems. Numerical examples are given to illustrate the performance of the proposed controller.

• 한국전자파학회논문지
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• 제15권3호
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• pp.231-241
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• 2004

논문은 W-CDMA 시스템의 동기식 고속 다운링크 패킷접속(HSDPA: high-speed downlink packet access) 시스템에서 다중경로 간섭성분 제거를 위한 그룹단위 반복 다중경로 간섭제거(GWI-MPIC: Goupwise iterative-multipath interference cancellation) 알고리즘을 적용하여 오류율 성능을 유도하고 수치해석으로 성능을 분석한 것이다. GWI-MPIC 알고리즘은 다중경로 직렬간섭제거(SIC: successive interference cancellation) 알고리즘 성능과 비교하였다. 성능분석에 따르면, 간섭제거 가중인자($\beta$$_{h}$)에 따른 성능이 ‘$\beta$$_{h}$=0.8’에서 최적 평균 BER 성능을 얻었으며, 그 결과를 다른 성능분석에 적용하였다. 다중경로수 ‘L=6’에서 오류율 성능이 급격히 저하되었으나 경로수가 증가할수록 직렬간섭제거(SIC) 알고리즘 성능보다 우수함을 알 수 있었다. 다중코드 ‘K=8’ 이상에서는 다중경로수에 비례한 간섭 전력의 증가로 성능 저하가 두드러졌다. 그리고 확산이득 ‘PG=128’인 경우 다중경로 수 ‘L=2’와 평균 BER =1.0${\times}$$10^{-5}$에서 직렬간섭제거 알고리즘 성능보다 3 ㏈ 정도 우수한 결과를 얻었다. 또한 다중경로 페이딩 채널이득이 선형단조 감소한 경우, 뒤에 도달한 다중경로의 페이딩 채널이득이 적게 되어 일정이득(‘1’) 변화 성능보다 우수한 결과를 나타냈다.타냈다.