In this paper, based on the sampled-data observer and the deterministic learning theory, a
rapid dynamical pattern recognition approach is proposed for univariate time series …

In this paper, an improved identification method based on sinusoidal echo state network
(SESN) is proposed to identify a class of periodic discrete-time dynamic nonlinear systems …

A unified approach is proposed to design sampled-data observers for a certain type of
unknown nonlinear systems undergoing recurrent motions based on deterministic learning …

In this article, we propose a design and evaluation framework of granular neural networks
realized in the presence of information granules. Neural networks realized in this manner …

Fuzzy Counter Propagation Neural Network (FCPN) controller design is developed, for a
class of nonlinear dynamical systems. In this process, the weight connecting between the …

Rapid development and exploration in deepwater field increase the use of the marine riser.
Vortex Induced Vibration (VIV) is a phenomenon where fluid flow cross flow bluff structure …

Fuzzy Counter Propagation Neural Network (FCPN) controller design is developed, for a
class of nonlinear dynamical systems. In this process, the weight connecting between the …