Neural network-based H∞ filtering for nonlinear systems with time-delays

作者：Luan Xiaoli^*; Liu Fei

来源：Journal of Systems Engineering and Electronics, 2008, 19(1): 141-147.

• H-infinity filtering
• nonlinear system
• time-delay
• neural network
• linear matrix inequality

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 (LDT). Finally, based on the LDI model, a neural network-based nonlinear filter (NNBNF) is developed to minimize the upper bound of H-infinity 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.

• 出版日期2008-2
• 单位江南大学