Pattern-Moving-Based Partial Form Dynamic Linearization Model Free Adaptive Control for a Class of Nonlinear Systems
نویسندگان
چکیده
This work addresses a pattern-moving-based partial form dynamic linearization model free adaptive control (P-PFDL-MFAC) scheme and illustrates the bounded convergence of its tracking error for class unknown nonaffine nonlinear discrete-time systems. The concept pattern moving is to take system output condition as operation variable, purpose ensure that outputs belong certain or some desired classes. P-PFDL-MFAC mainly includes modified law, deviation estimation algorithm pseudo-gradient (PG) vector algorithm. classification-metric considered an external disturbance, which caused by process establishing dynamics description, improved cost function proposed from perspective two-player zero-sum game (TP-ZSG). rigorously proven contraction mapping principle, validity theoretical results verified simulation examples.
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ژورنال
عنوان ژورنال: Actuators
سال: 2021
ISSN: ['2076-0825']
DOI: https://doi.org/10.3390/act10090223