Discrete single-input single-output bilinear systems with constant parameters are considered. First, tho minimum variance regulator for known paramoters is determined. Then the least squares parameter estimation method is applied and is seen to have certain desirable properties. Finally, the least squares parameter estimator is combined with the minimum variance regulator for the estimated model to produce a bilinear self-tuning regulator (BLSTR). It is found that though the estimation ma.y be biased, under certain assumptions, the BLSTR will converge to the minimwn variance control law.
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications