Robust multiple model adaptive control of uncertain stochastic plant with improved weighting algorithm

摘要

The paper is concerned with the stability of robust multiple model adaptive control systems of continuous-time stochastic plant. First, the traditional weighting algorithm based on multiple Kalman filter and Bayes formulas is replaced by newly developed weighting algorithm; second, with the help of virtual equivalent system concept and methodology, the stability results are presented for linear time-invariant plant and a kind of nonlinear time varying plant.