Title :
Self-tuning control with singular pencil models
Author :
Wang, Xiaochun George
Author_Institution :
Inst. of Mach. Res., Nat. Res. Council of Canada, Vancouver, BC, Canada
Abstract :
The problem of self-tuning control for linear stochastic systems is considered. The system is represented in singular pencil system model whose internal variables and parameters are estimated using an ordinary Kalman filter. The estimated internal variables and parameters are then used in the state feedback controller to achieve self-tuning control
Keywords :
linear systems; matrix algebra; parameter estimation; self-adjusting systems; state feedback; stochastic systems; internal variables; linear stochastic systems; ordinary Kalman filter; self-tuning control; singular pencil models; state feedback controller; Control systems; Councils; Linear systems; Machinery; Parameter estimation; State estimation; State feedback; State-space methods; Stochastic systems; Vectors;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.538175
