Adaptive iterative learning control approach for PH neutralization of batch processes

This paper presents an adaptive iterative learning control approach for the PH neutralization in Batch Processes. The proposed approach includes a feedback control law and a parameter iterative updating law together. The parameter updating law is designed by a projection algorithm to estimate the time-varying parametric uncertainties of the PH neutralization. Both the rigorous analysis and the simulation results illustrate the applicability and effectiveness of the proposed approach.