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DSPs(TMS320C50)를 이용한 로봇 매니퓰레이터의 적응-신경제어기 실현
정동연,김용태,한성연 한국공작기계학회 2002 한국공작기계학회 추계학술대회논문집 Vol.2002 No.-
In this paper, it is presented a new scheme of adaptive-neuro control system to implement real-time control of robot manipulator. Unlike the well-established theory for the adaptive control of linear systems, there exists relatively little general theory for the adaptive control of nonlinear systems. Adaptive control technique is essential for providing a stable and robust performance for application of robot control. The proposed neuro control algorithm is one of learning a model based error back-propagation scheme using Lyapunov stability analysis method. Through simulation, the proposed adaptive-neuro control scheme is proved to be a efficient control technique for real-time control of robot system using DSPs.
전영근(Younggeun Jun),한성연(Seongyeon Han),이종철(Jongchul Lee),이혁민(Hyukmin Lee) 한국자동차공학회 2019 한국자동차공학회 부문종합 학술대회 Vol.2019 No.5
Research on GFHB has been continued for maximize the visibility and prevention of glare. Mobis also has a variety of ADB lineup that meet customer needs and is expanding its ADB product line with highresolution headlamps. In recent years, design trends have continued to be slimmer, which required the development of a new type of optical system, since it requires a highly efficient optical system. This paper will outline our ADB lineup developed to meet this trend and describe slim matrix headlamps with silicone lens.