An iterative learning control (ILC) approach with input trajectory parameterization is proposed for batch processes. In the new approach

the main characteristics of the optimal input profile are obtained to parameterize the whole input trajectory with a few scholar decision variables. The proposed ILC method maintains the simplicity of the algorithm

while improving the optimizing control performance from batch to batch under uncertainties. A batch reactor is simulated to demonstrate the effectiveness of proposed ILC method.