Model description:
The plant is
$$y(k)=1.2y(k-1)-0.8y(k-2)+0.2y(k-1)u(k-1)+u(k-1)+0.6u(k-2) + d(k),$$
where $d(k)$ is a disturbance.
Type:
Form:
Model order:
2
Time domain:
Linearity:
Publication details:
| Title | Adaptive Bilinear Model Predictive Control |
| Publication Type | Conference Paper |
| Year of Publication | 1986 |
| Authors | Yeo, Y.K., and Williams D.C. |
| Conference Name | American Control Conference, 1986 |
| Date Published | 06/1986 |
| Publisher | IEEE |
| Conference Location | Seattle, WA |
| Keywords | adaptive control, control system synthesis, Delay, Error correction, Least squares approximation, Mathematical model, parameter estimation, predictive control, Predictive models, Programmable control |
| Abstract | An adaptive controller for bilinear plants without delay and with stable inverses is defined based upon a bilinear model predictive control law and a classical recursive identification algorithm. For the case with no disturbance both the control error and the identification error converge to zero. For the case with a bounded disturbance, the control error is bounded and the identification converges. For the case with a constant disturbance, the control error often converges to zero and the identification converges. |
| URL | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=4789155&queryText%3DADAPTIVE+BILINEAR+MODEL+PREDICTIVE+CONTROL |