Title :
Identification and adaptive control for systems with unknown orders, delay, and coefficients
Author :
Chen, Han-Fu ; Zhang, Ji-Feng
Author_Institution :
Inst. of Syst. Sci., Acad. Sinica, Beijing, China
fDate :
8/1/1990 12:00:00 AM
Abstract :
An analysis that gives recursive estimates for time-delay, system orders, and coefficients of single-input, single-output linear discrete-time deterministic and stochastic systems with uncorrelated noise is presented. It is assumed that a lower bound for the time delay and upper bounds for system order are known. The optimal adaptive control is designed for both tracking and linear quadratic regulation when the system parameters, including time-delay, orders, and coefficients, are unknown. The rates of convergence are derived the coefficient estimates to their true values and the loss functions to their minima
Keywords :
adaptive control; delays; discrete time systems; identification; optimal control; stochastic systems; SISO systems; adaptive control; delay; identification; linear discrete time deterministic systems; linear quadratic regulation; lower bound; optimal control; recursive estimates; stochastic systems; system orders; upper bounds; Adaptive control; Control systems; Cost function; Delay effects; Delay estimation; Feedback control; Recursive estimation; State estimation; Stochastic processes; Stochastic systems;
Journal_Title :
Automatic Control, IEEE Transactions on