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The large-scale and frequent cross-regional electricity allocations bring about the critical need to coordinate multi-region power scheduling. It is recognized that each sub-systems' taking charge of own scheduling makes the ideal centralized optimization method infeasible. In this paper, a distributed optimization strategy based on alternating direction method of multipliers (ADMM) is put forward...
This paper presents a multi-scale model of synchronous machine in phase-domain for efficient and accurate simulation of diverse transients. It makes use of the simulation methodology frequency-adaptive simulation of transients (FAST) in which the shift frequency appears as a simulation parameter in addition to the time-step size. Through appropriate setting of both shift frequency and time-step size,...
This paper reviews several key issues on the trends and open research problems of parallel manipulators. The research of a parallel manipulator structure is an essential question. It includes two research issues: design of a novel parallel robot mechanism and performance indexes. This paper reviews the methods on the two aspects and presents the research directions. The paper discusses the functions...
Virtual reality combining with vehicle running can exhibit vehicle's status dynamically in a virtual vision environment. The characters of intelligent vehicle running are analyzed. A virtual simulation system about intelligent vehicle running is realized based on virtual reality technology and MultiGen Creator/Vega, VC++, the constructing process of the system is introduced, the safety distance models...
The Bayesian approach provides consistent way to do inference by integrating the evidence from data with prior knowledge from the problem. Bayesian neural networks can overcome the main difficulty of controlling the modelpsilas complexity in modelling building of standard neural network. And the Bayesian approach offers efficient tools for avoiding overfitting even with very complex models, and facilitates...
This paper describes a numerical robust and computational efficient square-root central difference Kalman filter (SRCDKF) and put it into the application of state estimation of Inertial Navigation System (INS)/GPS integrated navigation for wheeled agricultural robot to overcome the flaws exist in EKF (Extended Kalman Filter). A standard INS mechanization with quaternion form attitude expression is...
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