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|Title:||Robust adaptive control for a class of nonlinear systems with generalized Prandtl-Ishlinskii hysteresis|
|Citation:||Feng, Y.,Su, C.-Y.,Hong, H.,Ge, S.S. (2007). Robust adaptive control for a class of nonlinear systems with generalized Prandtl-Ishlinskii hysteresis. Proceedings of the IEEE Conference on Decision and Control : 4833-4838. ScholarBank@NUS Repository. https://doi.org/10.1109/CDC.2007.4434202|
|Abstract:||In this paper, a robust adaptive control is proposed for a class of nonlinear systems preceded by unknown hysteresis. The generalized Prandtl-Ishlinskii (P-I) model is used to describe the characteristics of unknown hysteresis. The challenge addressed here is to fuse the generalized P-I model with controller design without constructing a hysteresis inverse. The Nussbaum-type function is used to solve the problem of unknown control directions and the high-order neural network approximate method is used to overcome the computational complexity. The global stability of the closed-loop system is achieved, and the effectiveness of the proposed control approach is demonstrated through simulation example. ©2007 IEEE.|
|Source Title:||Proceedings of the IEEE Conference on Decision and Control|
|Appears in Collections:||Staff Publications|
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