کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
755735 | 896057 | 2014 | 12 صفحه PDF | دانلود رایگان |
• A new complex neural network model with fuzzy logic, parameter switching and time delay is proposed.
• The estimator design with guaranteed performance is given.
• A sufficient condition is obtained to analyze such a complex system.
This paper investigates the state estimation with guaranteed performance for a class of switching fuzzy neural networks. A switching-type fuzzy neural networks (STFNNs) model is proposed which captures external disturbances, sensor nonlinearities, and mode switching phenomenon of the fuzzy neural networks without the Markovian process assumption. For such a model, a state estimation problem is formulated to achieve the guaranteed performance: the estimation error system is exponentially stable with certain decay rate and a prescribed H∞ disturbance attenuation level. A novel sufficient condition for this problem is established using the Lyapunov functional method and the average dwell time approach, and the estimator parameters are explicitly given. A numerical example is presented to show the effectiveness of the developed results.
Journal: Communications in Nonlinear Science and Numerical Simulation - Volume 19, Issue 7, July 2014, Pages 2160–2171