Model-free adaptive finite time control

In the framework of model-free adaptive control, the finite time convergence problem is studied. A model-free adaptive finite time controller is designed. Finite time is introduced into model-free adaptive control. By constructing Lyapunov function, the problem is transformed into a linear matrix in...

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Bibliographic Details
Published in2022 China Automation Congress (CAC) pp. 3853 - 3857
Main Authors Gao, Shouli, Zhao, Dongya
Format Conference Proceeding
LanguageEnglish
Published IEEE 25.11.2022
Subjects
Adaptation models
Couplings
data-driven
dynamic linearization
finite time control
Linear matrix inequalities
Nonlinear dynamical systems
Numerical models
Numerical simulation
Real-time systems
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Summary:In the framework of model-free adaptive control, the finite time convergence problem is studied. A model-free adaptive finite time controller is designed. Finite time is introduced into model-free adaptive control. By constructing Lyapunov function, the problem is transformed into a linear matrix inequality constrained problem. The real-time estimation of system parameters by pseudo partial derivatives is introduced into the gain matrix of the controller, so that the controller can change with the change of scheduling parameters, thereby reducing the conservatism of the control system. Numerical simulation is provided to validate the effectiveness of the proposed approach.
ISSN:2688-0938
DOI:10.1109/CAC57257.2022.10055093