Title :
An algorithm for multirate sampling adaptive control
Author :
Zhang, Cishen ; Middleton, R.H. ; Evans, R.J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Newcastle Univ., NSW, Australia
fDate :
7/1/1989 12:00:00 AM
Abstract :
A stable multirate sampling adaptive control algorithm is presented which enables the fast sampling rate to be applied in closed-loop feedback control. The sampling rate is only restricted by the time needed for the control law computation (as in the nonadaptive control case) plus the estimation error computation. The plant input and output are recorded prior to the currently obtained estimate and used to compute the coming estimate and controller coefficients. Thus, the computation is not dependent upon the inputs and outputs appearing during the updating process. The closed-loop system is shown to be stable
Keywords :
adaptive control; closed loop systems; feedback; sampled data systems; closed-loop system; estimation error; feedback control; multirate sampling adaptive control; Adaptive algorithm; Adaptive control; Control systems; Digital control; Feedback control; High performance computing; Parameter estimation; Programmable control; Sampling methods; Stability;
Journal_Title :
Automatic Control, IEEE Transactions on
