Title :
A new family of continuous-time parameter estimators with applications to adaptive control
Author_Institution :
Dept. of Electr. & Comput. Eng., Alabama Univ., Huntsville, AL, USA
Abstract :
The author presents a new family of high-performance parameter estimators that are inherently continuous time in nature and are defined by ordinary differential equations. These continuous-time parameter estimators can converge to and track dynamically changing `constant´ parameter values more effectively than conventional discrete-time least-squares estimators. Application of these continuous-time parameter estimators in the field of high-performance adaptive control is discussed
Keywords :
adaptive control; differential equations; parameter estimation; adaptive control; continuous-time parameter estimators; ordinary differential equations; Adaptive control; Adaptive signal processing; Application software; Convergence; Electric variables measurement; Parameter estimation; Real time systems; Signal processing algorithms; State estimation; System performance;
Conference_Titel :
Southeastcon '91., IEEE Proceedings of
Conference_Location :
Williamsburg, VA
Print_ISBN :
0-7803-0033-5
DOI :
10.1109/SECON.1991.147958
