Journal
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
Volume 47, Issue 7, Pages 1668-1678Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2017.2660761
Keywords
Adaptive control; adding a power integrator; input nonlinearity; nonstrict feedback; practical finite-time stabilization
Funding
- National Natural Science Foundation of China [61273120]
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This paper investigates the adaptive practical finite-time stabilization for a class of nonstrict feedback nonlinear systems. The nonlinear systems under consideration contain unknown nonlinearities and control coefficients, and unknown deadzone and saturation input nonlinearities. Without imposing any conditions on the unknown nonlinearities, neural networks are utilized as the approximators to cope with these unknown nonlinear functions. The adding a power integrator technique is employed to construct controller and adaptive laws. The stability of the corresponding closed-loop system is proved with the help of the finite-time Lyapunov theory. Finally, two simulation examples are provided to show the validity of the proposed design method.
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