Improved High Order Model-Free Adaptive Iterative Learning Control with Disturbance Compensation and Enhanced Convergence
نویسندگان
چکیده
In this paper, an improved high-order model-free adaptive iterative control (IHOMFAILC) method for a class of nonlinear discrete-time systems is proposed based on the compact format dynamic linearization method. This adds differential tracking error in criteria function to compensate effect random disturbance. Meanwhile, estimation algorithm used estimate value pseudo partial derivative (PPD), that is, current PPD updated by previous iterations. Thus rapid convergence maximum not limited initial PPD. The deduced detail. can track desired output with enhanced and performance. Two examples are verify effectiveness
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ژورنال
عنوان ژورنال: Cmes-computer Modeling in Engineering & Sciences
سال: 2023
ISSN: ['1526-1492', '1526-1506']
DOI: https://doi.org/10.32604/cmes.2022.020569