在数据库集群系统中,进程迁移常用于实现系统的负载均衡、高效容错和减少通信开销等方面。文章提出的基于自适应通信平台(Adaptive Communication Environment,ACE)实现进程迁移技术的方法,在用户层实现内核级的进程迁移功能,解决了数...在数据库集群系统中,进程迁移常用于实现系统的负载均衡、高效容错和减少通信开销等方面。文章提出的基于自适应通信平台(Adaptive Communication Environment,ACE)实现进程迁移技术的方法,在用户层实现内核级的进程迁移功能,解决了数据库集群系统进程迁移跨平台的问题,提高了集群系统的数据处理和系统容错能力。展开更多
To achieve excellent tracking accuracy,a coarse-fine dual-stage control system is chosen for inertially stabilized platform.The coarse stage is a conventional inertially stabilized platform,and the fine stage is a sec...To achieve excellent tracking accuracy,a coarse-fine dual-stage control system is chosen for inertially stabilized platform.The coarse stage is a conventional inertially stabilized platform,and the fine stage is a secondary servo mechanism to control lens motion in the imaging optical path.Firstly,the dual-stage dynamics is mathematically modeled as a coupling multi-input multi-output(MIMO)control system.Then,by incorporating compensation of adaptive model to deal with parameter variations and nonlinearity,a systematic robust H∞control scheme is designed,which can achieve good tracking performance,as well as improve system robustness against model uncertainties.Lyapunov stability analysis confirmed the stability of the overall control system.Finally,simulation and experiment results are provided to demonstrate the feasibility and effectiveness of the proposed control design method.展开更多
文摘在数据库集群系统中,进程迁移常用于实现系统的负载均衡、高效容错和减少通信开销等方面。文章提出的基于自适应通信平台(Adaptive Communication Environment,ACE)实现进程迁移技术的方法,在用户层实现内核级的进程迁移功能,解决了数据库集群系统进程迁移跨平台的问题,提高了集群系统的数据处理和系统容错能力。
基金Project (61174203) supported by the National Natural Science Foundation of China
文摘To achieve excellent tracking accuracy,a coarse-fine dual-stage control system is chosen for inertially stabilized platform.The coarse stage is a conventional inertially stabilized platform,and the fine stage is a secondary servo mechanism to control lens motion in the imaging optical path.Firstly,the dual-stage dynamics is mathematically modeled as a coupling multi-input multi-output(MIMO)control system.Then,by incorporating compensation of adaptive model to deal with parameter variations and nonlinearity,a systematic robust H∞control scheme is designed,which can achieve good tracking performance,as well as improve system robustness against model uncertainties.Lyapunov stability analysis confirmed the stability of the overall control system.Finally,simulation and experiment results are provided to demonstrate the feasibility and effectiveness of the proposed control design method.
