Neural Network-based Event-triggered Adaptive Asymptotic Tracking Control for Switched Nonlinear Systems
نویسندگان
چکیده
In this paper, an adaptive event-triggered asymptotic tracking control problem is addressed for switched nonlinear systems with unknown directions. existing schemes, the proposed controller not directly aimed at original system, which affects performance. Different from based on law constructed in paper. The guarantees that error ς1 asymptotically converges to origin. Finally, effectiveness of design scheme proved by simulation examples.
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ژورنال
عنوان ژورنال: International Journal of Control Automation and Systems
سال: 2022
ISSN: ['1598-6446', '2005-4092']
DOI: https://doi.org/10.1007/s12555-021-0859-5