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- W2039852063 abstract "Neural networks and T-S fuzzy systems have been widely used in nonlinear system control. Standard neural network model (SNNM) can be used to describe intelligent systems composed of neural networks or T-S fuzzy models, and so provides a common controller synthesis framework for these kinds of systems. This paper investigates robust output feedback controller synthesis of discrete-time nonlinear systems based on SNNM. A new output feedback controller design technique for discrete-time SNNM in terms of linear matrix inequality is proposed. The aforementioned intelligent systems can be transformed into SNNM for controller synthesis in a unified way. The numerical example and simulation result show that the presented method is effective and provide a new approach to the nonlinear system controller synthesis." @default.
- W2039852063 created "2016-06-24" @default.
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- W2039852063 date "2010-08-01" @default.
- W2039852063 modified "2023-09-25" @default.
- W2039852063 title "Robust output feedback controller for discrete-time nonlinear systems based on standard neural network model" @default.
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- W2039852063 doi "https://doi.org/10.1109/iwaci.2010.5585169" @default.
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