Journal of Systems Engineering and Electronics ›› 2008, Vol. 19 ›› Issue (1): 141-147.
• CONTROL THEORY AND APPLICATION • Previous Articles Next Articles
Luan Xiaoli & Liu Fei
Online:
Published:
Abstract:
A novel H∞ design methodology for a neural network-based nonlinear filtering scheme is addressed. Firstly, neural networks are employed to approximate the nonlinearities. Next, the nonlinear dynamic system is represented by the mode-dependent linear difference inclusion (LDI). Finally, based on the LDI model, a neural network-based nonlinear filter (NNBNF) is developed to minimize the upper bound of H∞ gain index of the estimation error under some linear matrix inequality (LMI) constraints. Compared with the existing nonlinear filters, NNBNF is time-invariant and numerically tractable. The validity and applicability of the proposed approach are successfully demonstrated in an illustrative example.
Luan Xiaoli & Liu Fei. Neural network-based H∞ filtering for nonlinear systems with time-delays[J]. Journal of Systems Engineering and Electronics, 2008, 19(1): 141-147.
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