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- W2149486803 abstract "In this paper, we investigate the feasibility of an approximate feedback linearization (AFL) approach combined with probabilistic robustness analysis and design (PRAD) for a kind of constrained nonlinear systems with parameter uncertainties. The AFL approach uses an integral observer to observe and compensate the nonlinear dynamics, uncertainties, external disturbances and saturation constraints of a system. The parameters of the controller are searched by genetic algorithms to minimize a probabilistic robustness cost function, which can directly address the designing objectives. To verify the performance and usefulness of the proposed control method, an application to a simple nonlinear control problem is performed." @default.
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- W2149486803 date "2007-05-01" @default.
- W2149486803 modified "2023-09-24" @default.
- W2149486803 title "Approximate Feedback Linearization Control of Nonlinear Systems with Parameter Uncertainties and Input Constraints" @default.
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- W2149486803 doi "https://doi.org/10.1109/icca.2007.4376654" @default.
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