Title :
Why multiresolutional hierarchies reduce computational complexity of stochastic systems for estimation and control
Author :
Khazen, E. ; Meystel, A.
Author_Institution :
Drexel Univ., Philadelphia, PA, USA
Abstract :
Multiresolutional systems are intuitively understood as a method of reducing the computational complexity of various systems for estimation and control. In this paper, an attempt is made to prove this property of multiresolutional systems for all stochastic systems
Keywords :
computational complexity; extrapolation; stochastic processes; stochastic systems; computational complexity; control; estimation; multiresolutional hierarchies; stochastic systems; Computational complexity; Control systems; Filters; Path planning; Sampling methods; Signal resolution; Stochastic processes; Stochastic systems;
Conference_Titel :
Intelligent Control (ISIC), 1998. Held jointly with IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), Intelligent Systems and Semiotics (ISAS), Proceedings
Conference_Location :
Gaithersburg, MD
Print_ISBN :
0-7803-4423-5
DOI :
10.1109/ISIC.1998.713647
