The spectral analysis of simulated N-team of interacting decision makers with bounded rationality constraints of Oladejo, which assumes triangular probability density function of command inputs is hereby restructured ...The spectral analysis of simulated N-team of interacting decision makers with bounded rationality constraints of Oladejo, which assumes triangular probability density function of command inputs is hereby restructured and analysed, to have hierarchical command inputs that are predicated on order statistics distributions. The results give optimal distributions.展开更多
This paper reviews the concept, research condition and research progress of hierarchical division in nursing ladder management in China; points out the problem and outlook of this area.
This paper investigates the hierarchical control of DC microgrids.Compared to AC microgrids,DC microgrids encounter complicated converter-level control,and simplified system-level management.To address these character...This paper investigates the hierarchical control of DC microgrids.Compared to AC microgrids,DC microgrids encounter complicated converter-level control,and simplified system-level management.To address these characteristics,a new three-level control hierarchy is introduced.The converter control level encapsulates sophisticated converter topologies and inner control loops into a black-box representation.The voltage coordination level uses DC voltage signals to coordinate both static and transient power sharing.The energy management level optimizes the power flow and power quality in a broader scope through communication.This architecture lowers the focus of control to bottom levels.More functions are allocated to the converter control and voltage coordination levels.They can maintain basic microgrid performance with fully local control,thereby ensuring reliable power supply in case of communication failures.Moreover,taking advantage of DC microgrids’simplified system-level operation patterns,the energy management level uses straightforward algorithms to achieve intelligent functions.As a result,this architecture achieves both robust and smart control by exploring DC microgrids’critical features.展开更多
In this paper,we consider the fuel economy optimization problem for a mild hybrid electric vehicle(HEV)using hierarchical model predictive control.In the proposed algorithm,two problems are addressed:eco-driving and t...In this paper,we consider the fuel economy optimization problem for a mild hybrid electric vehicle(HEV)using hierarchical model predictive control.In the proposed algorithm,two problems are addressed:eco-driving and torque distribution.In the eco-driving problem,vehicle speed was controlled.Considering the reduction in fuel consumption and NOx emissions,the torque required to follow the target speed was calculated.Subsequently,in the torque distribution problem,the distribution between the engine and motor torques were calculated.In this phase,engine characteristics were considered.These problems differ in terms of time scales;therefore,a hierarchical model predictive control is proposed.Lastly,the numerical simulation results demonstrated the efficacy of this research.展开更多
文摘The spectral analysis of simulated N-team of interacting decision makers with bounded rationality constraints of Oladejo, which assumes triangular probability density function of command inputs is hereby restructured and analysed, to have hierarchical command inputs that are predicated on order statistics distributions. The results give optimal distributions.
文摘This paper reviews the concept, research condition and research progress of hierarchical division in nursing ladder management in China; points out the problem and outlook of this area.
文摘This paper investigates the hierarchical control of DC microgrids.Compared to AC microgrids,DC microgrids encounter complicated converter-level control,and simplified system-level management.To address these characteristics,a new three-level control hierarchy is introduced.The converter control level encapsulates sophisticated converter topologies and inner control loops into a black-box representation.The voltage coordination level uses DC voltage signals to coordinate both static and transient power sharing.The energy management level optimizes the power flow and power quality in a broader scope through communication.This architecture lowers the focus of control to bottom levels.More functions are allocated to the converter control and voltage coordination levels.They can maintain basic microgrid performance with fully local control,thereby ensuring reliable power supply in case of communication failures.Moreover,taking advantage of DC microgrids’simplified system-level operation patterns,the energy management level uses straightforward algorithms to achieve intelligent functions.As a result,this architecture achieves both robust and smart control by exploring DC microgrids’critical features.
文摘In this paper,we consider the fuel economy optimization problem for a mild hybrid electric vehicle(HEV)using hierarchical model predictive control.In the proposed algorithm,two problems are addressed:eco-driving and torque distribution.In the eco-driving problem,vehicle speed was controlled.Considering the reduction in fuel consumption and NOx emissions,the torque required to follow the target speed was calculated.Subsequently,in the torque distribution problem,the distribution between the engine and motor torques were calculated.In this phase,engine characteristics were considered.These problems differ in terms of time scales;therefore,a hierarchical model predictive control is proposed.Lastly,the numerical simulation results demonstrated the efficacy of this research.
