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
- 2006.1
- 수록면
- 119 - 124 (6page)
이용수
초록· 키워드
오류제보하기
In Part I(theoretical study) of the paper, a new adaptive autopilot for ships based on Adaptive Neural Networks was proposed. The ANNAI autopilot was designed for course-keeping, turning and track-keeping control for ships. In this part of the paper, to show the effectiveness and feasibility of the ANNAI autopilot and automatic selection algorithm for learning rate and number of iterations, computer simulations of course-keeping and track-keeping tasks with and without the effects of measurement noise and external disturbances are presented. Additionally, the results of the previous studies using Adaptive Neural Network by backpropagation algorithm are also showed for comparison.
목차
등록된 정보가 없습니다.
참고문헌 (6)
참고문헌 신청
/ 1997a / Neural network approaches to a class of ship control problems (Part I: Theoretical design) 1
/ 1997b / Neural network approaches to a class of ship control problems (Part II: Simulation studies) 1
/ 2001 / A Neural Network Controller by Adaptive Interaction : 1247 ~ 1252
/ 2002 / Marine Control Systems: Guidance, Navigation and Control of Ships, Rigs and Underwater Vehicles
/ 2005 / An Adaptive Autopilot for Course-keeping Control of Ships using Adaptive Neural Network (Part I: Theoretical Study) 29 (9 ) : 771 ~ 776
/ 1997b / Neural network approaches to a class of ship control problems (Part II: Simulation studies) 1
/ 2001 / A Neural Network Controller by Adaptive Interaction : 1247 ~ 1252
/ 2002 / Marine Control Systems: Guidance, Navigation and Control of Ships, Rigs and Underwater Vehicles
/ 2005 / An Adaptive Autopilot for Course-keeping Control of Ships using Adaptive Neural Network (Part I: Theoretical Study) 29 (9 ) : 771 ~ 776
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