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|Title:||Adaptive neural control of SISO non-affine nonlinear time-delay systems with unknown hysteresis input|
|Authors:||Ren, B. |
|Citation:||Ren, B., Shuzhi, S.G., Tong, H.L., Su, C.-Y. (2008). Adaptive neural control of SISO non-affine nonlinear time-delay systems with unknown hysteresis input. Proceedings of the American Control Conference : 4203-4208. ScholarBank@NUS Repository. https://doi.org/10.1109/ACC.2008.4587153|
|Abstract:||In this paper, adaptive neural control is investigated for a class of SISO unknown non-affine nonlinear systems with state time-varying delays and unknown hysteresis input. The non-affine problem is solved by adopting mean value theorem and implicit function theorem. The unknown time-varying delay uncertainties are compensated for using appropriate Lyapunov-Krasovskii functionals in the design. The effect of the unknown hysteresis with the Prandtl-Ishlinskii model is also mitigated through the proposed adaptive control. By utilizing the Lyapunov synthesis, the closed-loop control system is proved to be semi-globally uniformly ultimately bounded (SGUUB). ©2008 AACC.|
|Source Title:||Proceedings of the American Control Conference|
|Appears in Collections:||Staff Publications|
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