State-space predictive control

摘要: Abstract This paper deals with a predictive control strategy based on state—space models. Important issues concerning inherent model identification and optimal computation are briefly discussed. Predictive relies heavily satisfactory capabilities. An off-line procedure must be accomplished to obtain proper structure parameter set, which is required for on-line adjustment. The calculation general performance index parameterization of the variables in nonlinear model, includes relevant constraints. results finite-dimensional optimization problem can repetitively solved on-line. Simulation studies two very different, typical industrial processes presented. simulations show that this MPC technique offers major improvement many processes.