RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      입출력 잡음이 존재하는 선형 시스템의 ON-Line 수정 최소 자승 매개변수 추정에 관한 연구 = On-line Modified Least Square Method Parameter Estimation of linear system in presence input-output noise

      한글로보기

      https://www.riss.kr/link?id=A2016848

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      It is well known that in practical situations observe input - output data of an identified plant by ordinary least squares estimation method are biased.
      In order to obtain consistent estimates a new type of modified least squares(MLS) estimation method is presented in this paper. A designed first-order prefilter is connected parallelly to the input of the identified system. On the basis of asymptotic analysis, the noise variances can be estimated correctly by using the processed samped data.
      It is shown that the presented MLS method based on MLS by Feng et al gives consistent estimation without a priori knowleadge of the input and ouptput noises and can be determined the estimation biases. The simulation results are presented to support the theoretical discussions.
      번역하기

      It is well known that in practical situations observe input - output data of an identified plant by ordinary least squares estimation method are biased. In order to obtain consistent estimates a new type of modified least squares(MLS) estimation met...

      It is well known that in practical situations observe input - output data of an identified plant by ordinary least squares estimation method are biased.
      In order to obtain consistent estimates a new type of modified least squares(MLS) estimation method is presented in this paper. A designed first-order prefilter is connected parallelly to the input of the identified system. On the basis of asymptotic analysis, the noise variances can be estimated correctly by using the processed samped data.
      It is shown that the presented MLS method based on MLS by Feng et al gives consistent estimation without a priori knowleadge of the input and ouptput noises and can be determined the estimation biases. The simulation results are presented to support the theoretical discussions.

      더보기

      동일학술지(권/호) 다른 논문

      동일학술지 더보기

      더보기

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼