Title :
Querying databases of trajectories of differential equations. I. Data structures for trajectories
Author :
Grossman, Robert
Author_Institution :
Illinois Univ., Chicago, IL, USA
Abstract :
One approach to qualitative reasoning about dynamical systems is to extract qualitative information by searching or making queries on databases containing many trajectories. The efficiency of such queries depends crucially upon finding an appropriate data structure for trajectories of dynamical systems. Suppose that a large number of parameterized trajectories γ of a dynamical system evolving in R N are stored in a database. Let η⊂RN denote a parameterized path in Euclidean space. A data structure is defined to represent trajectories of dynamical systems, and a sketch is given of an algorithm which answers queries of the following form: Query: return the trajectory γ from the database which minimizes the norm on the space of paths ||η-γ||
Keywords :
data structures; database management systems; database theory; differential equations; query languages; search problems; Euclidean space; data structure; database queries; differential equations; dynamical systems; parameterized path; parameterized trajectories; qualitative information; qualitative reasoning; searching; trajectories; Computer science; Data mining; Data structures; Databases; Differential equations; Mathematics; NASA; Path planning; Robots; Statistics;
Conference_Titel :
System Sciences, 1990., Proceedings of the Twenty-Third Annual Hawaii International Conference on
Conference_Location :
Kailua-Kona, HI
DOI :
10.1109/HICSS.1990.205171