Digital elevation model(DEM)plays a fundamental role in the study of the earth system by expressing surface configuration,understanding surface process,and revealing surface mechanism.DEM is widely used in analysis an...Digital elevation model(DEM)plays a fundamental role in the study of the earth system by expressing surface configuration,understanding surface process,and revealing surface mechanism.DEM is widely used in analysis and modeling in the field of geoscience.However,traditional DEM has the defect of single attribute,which is difficult to support the research in earth system science oriented to geoscience process and mechanism mining.Hence,realizing the value-added data model on the basis of traditional DEM is necessary to serve digital elevation modeling and terrain analysis under the background of a new geomorphology research paradigm and earth observation technology.A theoretical framework for value-added DEM that mainly includes concept,connotation,content,and categories,is constructed in this study.The relationship between different types of value-added DEMs as well as the research significance and application category of this theoretical framework are also proposed.The following are different methods of value-added DEMs:(1)value-added methods of DEM space and time dimensions that emphasize the integration of the ground and underground as well as coupling of time and space,(2)attribute-based value-added methods composed of material(including underground,surface,and ground)and morphological properties,and(3)value-added methods of features and physical elements that consider geographical objects and landform features formed by natural processes and artificial effects.The digital terrace,slope,and watershed models are used as examples to illustrate application scenarios of the three kinds of value-added methods.This study aims to improve expression methods of DEMs under the background of new surveying and mapping technologies by adding value to the DEM at three levels of dimensions,attributes,and elements as well as support knowledge-driven digital geomorphological analysis in the era of big data.展开更多
This paper considers the design of distributed control architecture for spatially interconnected systems that are composed of several similar interconnected sub-units.Each sub-unit is a linear continuous time system a...This paper considers the design of distributed control architecture for spatially interconnected systems that are composed of several similar interconnected sub-units.Each sub-unit is a linear continuous time system and directly interacts with its nearest neighbors.This class of systems exists in several applications such as automated highway systems,power systems,and computer networks.Hybrid Lyapunov criterion and the hybrid real bounded lemma are derived to determine the stability and Hoo performance of the overall system.In order to stabilize this class of systems,distributed dynamic output feedback controllers are considered,and tractable linear matrix inequality(LMI)-based algorithms for the derivation of distributed controllers are presented.The change variable approach is introduced in the LMI-based algorithms due to its higher efficiency and numerically stable implementation than the elimination algorithm as introduced in previous works.It is shown through a numerical example that the distributed Ho~controllers developed in this article are superior to decentralized controllers in several aspects.展开更多
基金National Natural Science Foundation of China,No.41930102。
文摘Digital elevation model(DEM)plays a fundamental role in the study of the earth system by expressing surface configuration,understanding surface process,and revealing surface mechanism.DEM is widely used in analysis and modeling in the field of geoscience.However,traditional DEM has the defect of single attribute,which is difficult to support the research in earth system science oriented to geoscience process and mechanism mining.Hence,realizing the value-added data model on the basis of traditional DEM is necessary to serve digital elevation modeling and terrain analysis under the background of a new geomorphology research paradigm and earth observation technology.A theoretical framework for value-added DEM that mainly includes concept,connotation,content,and categories,is constructed in this study.The relationship between different types of value-added DEMs as well as the research significance and application category of this theoretical framework are also proposed.The following are different methods of value-added DEMs:(1)value-added methods of DEM space and time dimensions that emphasize the integration of the ground and underground as well as coupling of time and space,(2)attribute-based value-added methods composed of material(including underground,surface,and ground)and morphological properties,and(3)value-added methods of features and physical elements that consider geographical objects and landform features formed by natural processes and artificial effects.The digital terrace,slope,and watershed models are used as examples to illustrate application scenarios of the three kinds of value-added methods.This study aims to improve expression methods of DEMs under the background of new surveying and mapping technologies by adding value to the DEM at three levels of dimensions,attributes,and elements as well as support knowledge-driven digital geomorphological analysis in the era of big data.
基金Supported by the Funds for Creative Graduate Groups of Beijing Institute of Technology(GA200803)
文摘This paper considers the design of distributed control architecture for spatially interconnected systems that are composed of several similar interconnected sub-units.Each sub-unit is a linear continuous time system and directly interacts with its nearest neighbors.This class of systems exists in several applications such as automated highway systems,power systems,and computer networks.Hybrid Lyapunov criterion and the hybrid real bounded lemma are derived to determine the stability and Hoo performance of the overall system.In order to stabilize this class of systems,distributed dynamic output feedback controllers are considered,and tractable linear matrix inequality(LMI)-based algorithms for the derivation of distributed controllers are presented.The change variable approach is introduced in the LMI-based algorithms due to its higher efficiency and numerically stable implementation than the elimination algorithm as introduced in previous works.It is shown through a numerical example that the distributed Ho~controllers developed in this article are superior to decentralized controllers in several aspects.
