http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
퍼지-뉴럴 제어기법을 이용한 이동형 로봇의 자율주행 제어시스템 개발
김휘동,양승윤,전완수,안병국,한성현 한국공작기계학회 2000 한국공작기계학회 추계학술대회논문집 Vol.2000 No.-
This paper presents a new approach to the design of cruise control system of a mobile robot with two drive wheel. The proposed control scheme uses a Gaussian function as a unit function in the fuzzy-neural network, and back propagation algorithm to train the fuzzy-neural network controller in the framework of the specialized learning architecture. It is proposed a learning controller consisting of two neural network-fuzzy based on independent reasoning and a connection net with fixed weights to simply the neural networks-fuzzy. The performance of the proposed controller is shown by performing the computer simulation for trajectory tracking of the speed and azimuth of a mobile robot driven by two independent wheels.
A Double Magneto-optical Trap of ^7Li Loaded by a σ^--type Zeeman Slower
김휘동,조동현 한국물리학회 2011 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.58 No.5
We report the construction and characterization of a double magneto-optical trap (MOT) system for ^7Li loaded by a Zeeman slower. The Zeeman slower uses an increasing magnetic field with left-circularly polarized laser light to produce an atomic beam with velocity less than 100 m/s. The slow atoms are captured by the first MOT at a rate of 1.7 ×10^9 atoms/s and they are transferred to the second MOT through a small hole in a configuration of a low-velocity intense source. The loading rate of the second MOT is 5 ×10^6 atoms/s. The second MOT traps 5 ×10^7 atoms with a trap lifetime of 10 s.