The invention relates to the field of nonlinear time-varying
system optimization control, in particular to a control strategy for achieving multivariable PID in a PLS frame on the basis of a Gaussianprocess model. The problems that by means of existing control strategies, interaction among multiple loops cannot be eliminated, a built model is not complete, and the control performance is poor aresolved. The control strategy for achieving multivariable PID in the PLS frame on the basis of the
Gaussian process model comprises the steps that 1, parameters of a
PID controller are given; 2, the GP(
Gaussian process) model is used for achieving the control strategy of multivariable PID, wherein firstly, an
MIMO system is subjected to decoupling, secondly, the model uncertainty is improved, thirdly, a
covariance function is chosen, and the parameters are optimized; 3, the
PID controller is set, wherein a gradient-based optimization
algorithm is used for using the GP model for adjusting the
PID controller. The control strategy for achieving multivariable PID in the PLS frame on the basis of the
Gaussian process model has the advantages that the GP model is used for providing a predictionvariance, and the prediction reliability of a local random area is shown; cross
coupling effects brought by a multivariable control process are taken into account, through the PLS frame, the
MIMO system is decoupled into single loops, and then based on the GP model, the PID controller parameters are adjusted separately.