This paper proposes an event-triggered active disturbance rejection control framework to achieve the simultaneous position and attitude control of a satellite in proximity operations.Firstly,to facilitate the satellit...This paper proposes an event-triggered active disturbance rejection control framework to achieve the simultaneous position and attitude control of a satellite in proximity operations.Firstly,to facilitate the satellite motion description,we derive the relative kinematics and dynamics in terms of dual quaternions with the considerations of internal uncertainties and external disturbances.Then,two kinds of event-triggered mechanisms in the sensor/observer and controller/actuator channels are proposed to reduce the utilization of onboard communication resources and to improve control performance,respectively.The observation error and tracking error of both the attitude and orbit systems are theoretically proven to be asymptotically bounded.Finally,the simulation results show that the proposed method can achieve simultaneous position and attitude tracking between target and chaser satellites with satisfactory control performance and reduced communication rates.展开更多
Solid-state electrolytes(SSEs)can address the safety issue of organic electrolyte in rechargeable lithium batteries.Unfortunately,neither polymer nor ceramic SSEs used alone can meet the demand although great progress...Solid-state electrolytes(SSEs)can address the safety issue of organic electrolyte in rechargeable lithium batteries.Unfortunately,neither polymer nor ceramic SSEs used alone can meet the demand although great progress has been made in the past few years.Composite solid electrolytes(CSEs)composed of flexible polymers and brittle but more conducting ceramics can take advantage of the individual system for solid-state lithium metal batteries(SSLMBs).CSEs can be largely divided into two categories by the mass fraction of the components:“polymer rich”(PR)and“ceramic rich”(CR)systems with different internal structures and electrochemical properties.This review provides a comprehensive and in-depth understanding of recent advances and limitations of both PR and CR electrolytes,with a special focus on the ion conduction path based on polymer-ceramic interaction mechanisms and structural designs of ceramic fillers/frameworks.In addition,it highlights the PR and CR which bring the leverage between the electrochemical property and the mechanical property.Moreover,it further prospects the possible route for future development of CSEs according to their rational design,which is expected to accelerate the practical application of SSLMBs.展开更多
The design of advanced materials for applications in areas of photovoltaics,energy storage,and structural engineering has made significant strides.However,the rapid proliferation of candidate materials—characterized ...The design of advanced materials for applications in areas of photovoltaics,energy storage,and structural engineering has made significant strides.However,the rapid proliferation of candidate materials—characterized by structural complexity that complicates the relationships between features—presents substantial challenges in manufacturing,fabrication,and characterization.This review introduces a comprehensive methodology for materials design using cutting-edge quantum computing,with a particular focus on quadratic unconstrained binary optimization(QUBO)and quantum machine learning(QML).We introduce the loop framework for QUBO-empowered materials design,including constructing high-quality datasets that capture critical material properties,employing tailored computational methods for precise material modeling,developing advanced figures of merit to evaluate performance metrics,and utilizing quantum optimization algorithms to discover optimal materials.In addition,we delve into the core principles of QML and illustrate its transformative potential in accelerating material discovery through a range of quantum simulations and innovative adaptations.The review also highlights advanced active learning strategies that integrate quantum artificial intelligence,offering a more efficient pathway to explore the vast,complex material design space.Finally,we discuss the key challenges and future opportunities for QML in material design,emphasizing their potential to revolutionize the field and facilitate groundbreaking innovations.展开更多
文摘This paper proposes an event-triggered active disturbance rejection control framework to achieve the simultaneous position and attitude control of a satellite in proximity operations.Firstly,to facilitate the satellite motion description,we derive the relative kinematics and dynamics in terms of dual quaternions with the considerations of internal uncertainties and external disturbances.Then,two kinds of event-triggered mechanisms in the sensor/observer and controller/actuator channels are proposed to reduce the utilization of onboard communication resources and to improve control performance,respectively.The observation error and tracking error of both the attitude and orbit systems are theoretically proven to be asymptotically bounded.Finally,the simulation results show that the proposed method can achieve simultaneous position and attitude tracking between target and chaser satellites with satisfactory control performance and reduced communication rates.
基金supported by the National Key R&D Program of China(Grant No.2021YFB2500100)the National Natural Science Foundation of China(Grant Nos.51872196 and 22109114).
文摘Solid-state electrolytes(SSEs)can address the safety issue of organic electrolyte in rechargeable lithium batteries.Unfortunately,neither polymer nor ceramic SSEs used alone can meet the demand although great progress has been made in the past few years.Composite solid electrolytes(CSEs)composed of flexible polymers and brittle but more conducting ceramics can take advantage of the individual system for solid-state lithium metal batteries(SSLMBs).CSEs can be largely divided into two categories by the mass fraction of the components:“polymer rich”(PR)and“ceramic rich”(CR)systems with different internal structures and electrochemical properties.This review provides a comprehensive and in-depth understanding of recent advances and limitations of both PR and CR electrolytes,with a special focus on the ion conduction path based on polymer-ceramic interaction mechanisms and structural designs of ceramic fillers/frameworks.In addition,it highlights the PR and CR which bring the leverage between the electrochemical property and the mechanical property.Moreover,it further prospects the possible route for future development of CSEs according to their rational design,which is expected to accelerate the practical application of SSLMBs.
基金supported by the Shanghai Key Fundamental Research Grant(No.21JC1403300).
文摘The design of advanced materials for applications in areas of photovoltaics,energy storage,and structural engineering has made significant strides.However,the rapid proliferation of candidate materials—characterized by structural complexity that complicates the relationships between features—presents substantial challenges in manufacturing,fabrication,and characterization.This review introduces a comprehensive methodology for materials design using cutting-edge quantum computing,with a particular focus on quadratic unconstrained binary optimization(QUBO)and quantum machine learning(QML).We introduce the loop framework for QUBO-empowered materials design,including constructing high-quality datasets that capture critical material properties,employing tailored computational methods for precise material modeling,developing advanced figures of merit to evaluate performance metrics,and utilizing quantum optimization algorithms to discover optimal materials.In addition,we delve into the core principles of QML and illustrate its transformative potential in accelerating material discovery through a range of quantum simulations and innovative adaptations.The review also highlights advanced active learning strategies that integrate quantum artificial intelligence,offering a more efficient pathway to explore the vast,complex material design space.Finally,we discuss the key challenges and future opportunities for QML in material design,emphasizing their potential to revolutionize the field and facilitate groundbreaking innovations.
