A Simple Algorithm for Self-Tuning Control of Low-Order Models
1988 ◽
Vol 202
(4)
◽
pp. 301-303
Keyword(s):
On Line
◽
A simplified approach to the design of self-tuning controllers or low-order systems is presented. The parameters of the continuous time system rather than the discrete time system are identified on-line using a recursive least-squares estimation algorithm. The estimated parameters are then used to calculate the controller parameters so that the system is forced to have a pre-specified closed-loop system performance. In some applications, adopting this approach reduces the number of parameters to be estimated. Further, the controller parameters are obtained using closed-form equations, thus avoiding the on-line solution of polynomial equations. An example is included.
1995 ◽
Vol 61
(1)
◽
pp. 255-260
◽
Keyword(s):
1985 ◽
Vol 107
(1)
◽
pp. 356-369
Keyword(s):
1992 ◽
Vol 28
(4)
◽
pp. 484-491
◽
Keyword(s):
2020 ◽
Vol 34
(12)
◽
pp. 5223-5237
Keyword(s):