期刊
IEEE TRANSACTIONS ON NEURAL NETWORKS
卷 20, 期 7, 页码 1148-1164出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNN.2009.2016959
关键词
Neural networks (NNs); Prandtl-Ishlinskii (PI) hysteresis model; time-varying delays; variable structure control
类别
资金
- A*STAR SERC [052 101 0097]
In this paper, adaptive variable structure neural control is investigated for a class of nonlinear systems under the effects of time-varying state delays and uncertain hysteresis inputs. The unknown time-varying delay uncertainties are compensated for using appropriate Lyapunov-Krasovskii functionals in the design, and the effect of the uncertain hysteresis with the Prandtl-Ishlinskii (PI) model representation is also mitigated using the proposed control. By utilizing the integral-type Lyapunov function, the closed-loop control system is proved to be semiglobally uniformly ultimately bounded (SGUUB). Extensive simulation results demonstrate the effectiveness of the proposed approach.
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