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Towards Post Embedded Systems Era
Motohisa Funabashi,Taketoshi Kawabe,Akira Nagashima 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
SICE Trans-Division Technology Committee on Embedded Systems (TDTC ES) has been chartered which is trying to identify the issues for post embedded systems era and to explore approaches solving these issues. The issues range from technical challenges to institutional innovations. This paper presents current TDTC ES activities as well as its background ideas. The basic belief is that systems control technology is the key factor for present and future embedded systems.
Anauto motive collision avoidance control based on a feasible set
Masakazu Mukai,Yuji Harada,Junichi Murata,Taketoshi Kawabe,Hikaru Nishira,Yoshitaka Deguchi 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper considers an optimal path generation problem that generates a path of an automobile without any collision with obstacles. The problem is formulated as a mixed integer programming problem. In the problem the obstacles and environments a round the automobile can be represent as inequality conditions. A feasible set called collision avoidable set (CAS) is considered to constract a driver assisit control.
A Design of Electromechanical Valve Control System using Model Predictive Controller
Addy Wahyudie,Taizo Nakao,Masakazu Mukai,Taketoshi Kawabe 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper considers an implementation of model predictive controller for an electro mechanical valve. A teach sampling time in stants, the controller sends optimum control input to the system. In order to simplify the calcula-tion process with in controller, we solve the control input as algebraic calculation rather than two-point boundary value problem. We also use adisturbance observer to provide information of armaturevalve velocity, and to improve EMV robustness. The proposed control scheme is demonstrated on experimental test bed. The performance model predictive controller with adisturbance observer is compared experimentally to model predictive controller with are gularfll order observer.
Dongmei Wu,Yang Xia,Masatoshi Ogawa,Yi-Chun Yeh,Harutoshi Ogai,Taketoshi Kawabe 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
As a basis of an intelligent driving assist system, an on-line calculation method calculating a desirable driving path based on information and prediction of surrounding traffic environment is developed. The problem is how to use information of traffic jam and signal. This paperreports an automobile optimal driving control system using information of traffic jam and signal based onthe model prediction control to support drivers. Moreover, physical models for information of traffic jam and signal are constructed.