In the paper, the design and evaluation of a helicopter trajectory tracking controller are presented. The control algorithm is implemented using the feedback linearization technique and the two time-scale separation architecture. In addition, and on-line adaptive architecture that employs a neural network compensating the model inversion error caused by the deficiency of full knowledge of helicopter dynamic is applied to augment the attitude control system. Trajectory tracking performance of the control system in evaluated using modified TMAN simulation program representing as Apache helicopter. It is show that the on-line neural network in an adaptive control architecture is very effective in dealing with the performance depreciation problem of the trajectory tracking control caused by insufficient information of dynamic.(knowledge Management and Representation) 날짜: 2004년 11월 19일(금) 13:00~ 20일(토) 12:00 장소: 대구대학교 강당 ※ 자세한 사항은 한국비블리아학회 홈페이지(http://society.kisti.re.kr/~kbslis )를 참조하십시오.???