Title :
Parameter tracking for stochastic time-varying systems
Author_Institution :
Dept. of Electr. & Comput. Eng., Wollongong Univ., NSW, Australia
Abstract :
Describes a method for tracking fast time-varying parameters of dynamic systems under stochastic disturbances. Auxiliary information is used in addition to the plant input and output for better tracking accuracy
Keywords :
adaptive control; autoregressive moving average processes; matrix algebra; parameter estimation; process control; stochastic systems; time-varying systems; tracking; dynamic systems; fast time-varying parameters; parameter tracking; stochastic disturbances; stochastic time-varying systems; tracking accuracy; Adaptive control; Delay; Electrical equipment industry; Industrial control; Linear approximation; Polynomials; Stochastic resonance; Stochastic systems; Time measurement; Time varying systems;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.863004
