지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2005.1
- 수록면
- 771 - 776 (6page)
이용수
초록· 키워드
오류제보하기
This paper presents a new adaptive autopilot for ships based on the Adaptive Neural Networks. The proposed adaptive autopilot is designed with some modifications and improvements from the previous studies on Adaptive Neural Networks by Adaptive Interaction (ANNAI) theory to perform course-keeping, turning and track-keeping control. A strategy for automatic selection of the neural network controller parameters is introduced to improve the adaptation ability and the robustness of new ANNAI autopilot. In Part II of the paper, to show the effectiveness and feasibility of the proposed ANNAI autopilot, computer simulations of course-keeping and track-keeping tasks with and without the effects of measurement noise and external disturbances will be presented.
목차
등록된 정보가 없습니다.
참고문헌 (19)
참고문헌 신청
/ 1990 / Neural Networks for Control . The MIT Press. ISBN 0-262-13261-3.
/ 1995 / Neural Networks for Identification, Prediction and Control
/ 1996 / A Neural Network Approach to the Control of Surface Ships 4 (3) : 411 ~ 416
/ 1996 / Feedback optimal neural network controller for dynamic systems-A ship maneuvering example 41 : 117 ~ 127
/ 1997 / Alternative Designs of Neural Network Based Autopilots Mano- euvring and Control of Marine Craft A proceedings volume from the IFAC Conference : 10 83 ~ 88
/ 1995 / Neural Networks for Identification, Prediction and Control
/ 1996 / A Neural Network Approach to the Control of Surface Ships 4 (3) : 411 ~ 416
/ 1996 / Feedback optimal neural network controller for dynamic systems-A ship maneuvering example 41 : 117 ~ 127
/ 1997 / Alternative Designs of Neural Network Based Autopilots Mano- euvring and Control of Marine Craft A proceedings volume from the IFAC Conference : 10 83 ~ 88
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