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In this paper, an indirect type iterative learning control (ILC) scheme is proposed for industrial batch processes with input delay, based on using a two-degree-of-freedom control (2DOF) internal model control (IMC) structure. An important merit is that the 2DOF IMC design for robust closed-loop control against process uncertainties and load disturbance is independent of the ILC design specifically...
A robust closed-loop iterative learning control (ILC) method is proposed in this paper for industrial batch processes with input delay subject to time-varying uncertainties. By introducing a novel two-dimensional (2D) state observer for predicting the augmented closed-loop 2D system states to describe batch operation characteristics, only measured outputs of current and previous cycles are used for...
This paper deals with the problem of disturbance rejection in process control. The disturbances could be external or generated by model uncertainties. Different types of disturbances are considered and also different approaches are outlined to reject or reduce their effects. After a general introduction about the relevance of the disturbances in process control, the controller design methodologies...
For industrial batch processes subject to uncertain perturbations from cycle to cycle, a robust iterative learning control (ILC) scheme is proposed in this paper to realize robust tracking of the set-point profile for system operation. An important merit is that only measured output errors of current and previous cycles are used to design a synthetic ILC controller consisting of dynamic output feedback...
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