Self-Tuning Control Principles Applied to Bilinear Systems

摘要

A quasi-linear self-tuning control algorithm for a class of single input single output bilinear systems is derived. It involves an extended statespace pole-assignment approach which is applied to a linearized model of the bilinear system, updated at each sample point. The extended approach uses an adaptive steady state Kalman filter for state estimation, and an adaptive least squares scheme, employing a variable forgetting factor, for parameter estimation.