ZHU Ruijun, CHAI Tianyou, FU Jingdan, HU Weili. ROBUST OBSERVER DESIGN FOR A CLASS OF UNCERTAIN NONLINEAR SYSTEMS USING RECURRENT DYNAMIC NEURAL NETWORKS[J]. INFORMATION AND CONTROL, 1998, 27(6): 423-426.
Citation:
ZHU Ruijun, CHAI Tianyou, FU Jingdan, HU Weili. ROBUST OBSERVER DESIGN FOR A CLASS OF UNCERTAIN NONLINEAR SYSTEMS USING RECURRENT DYNAMIC NEURAL NETWORKS[J]. INFORMATION AND CONTROL, 1998, 27(6): 423-426.
ZHU Ruijun, CHAI Tianyou, FU Jingdan, HU Weili. ROBUST OBSERVER DESIGN FOR A CLASS OF UNCERTAIN NONLINEAR SYSTEMS USING RECURRENT DYNAMIC NEURAL NETWORKS[J]. INFORMATION AND CONTROL, 1998, 27(6): 423-426.
Citation:
ZHU Ruijun, CHAI Tianyou, FU Jingdan, HU Weili. ROBUST OBSERVER DESIGN FOR A CLASS OF UNCERTAIN NONLINEAR SYSTEMS USING RECURRENT DYNAMIC NEURAL NETWORKS[J]. INFORMATION AND CONTROL, 1998, 27(6): 423-426.
ROBUST OBSERVER DESIGN FOR A CLASS OF UNCERTAIN NONLINEAR SYSTEMS USING RECURRENT DYNAMIC NEURAL NETWORKS
In this paper, a novel robust observer is proposed for a class of uncertain nonlinear systems using recurrent neural networks, in which no off-line training phase, persistence excitation and output matched condition is required. The effectiveness of the presented methods is demonstrated by simulation results.
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