A novel robust decoupling method with multivariable generalized predictive
control (MGPC) for a class of nonlinear systems is presented in an adaptive
version. The cross-coupling action and the non-linear actors of the system
are identified on-line by a neural network. A feedforward compensation bas
ed on generalized predictive control, is proposed for decoupling control. A
modified recursive least-squares (RLS) algorithm can be used to estimate t
he linear parameters for time-varying systems. Simulations are carried out
and the results show the effectiveness of the proposed algorithm. Copyright
(C) 1999 John Wiley & Sons, Ltd.