Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Informatics and computer science intelligent systems applications
State-Space Recurrent Fuzzy Neural Networks for Nonlinear System Identification
Neural Processing Letters
PD Control of robot with velocity estimation and uncertainties compensation
International Journal of Robotics and Automation
Neural Processing Letters
System identification using hierarchical fuzzy neural networks with stable learning algorithm
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Nonlinear Systems Identification via Two Types of Recurrent Fuzzy CMAC
Neural Processing Letters
On-line fuzzy modeling via clustering and support vector machines
Information Sciences: an International Journal
Adaptive Tracking Control for the Output PDFs Based on Dynamic Neural Networks
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Recurrent Fuzzy CMAC for Nonlinear System Modeling
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Function approximation based augmented backstepping control for an induction machine
WSEAS Transactions on Systems and Control
Online fuzzy modeling with structure and parameter learning
Expert Systems with Applications: An International Journal
Passivity Analysis of a General Form of Recurrent Neural Network with Multiple Delays
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Global robust stabilizing control for a dynamic neural network system
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Adaptive statistic tracking control based on two-step neural networks with time delays
IEEE Transactions on Neural Networks
Stable Fourier neural networks with application to modeling lettuce growth
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Particle filter based neural network modeling of nonlinear systems for state space estimation
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
System identification using hierarchical fuzzy CMAC neural networks
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
PD control of overhead crane systems with neural compensation
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Two Types of Haar Wavelet Neural Networks for Nonlinear System Identification
Neural Processing Letters
Robust adaptive control via neural linearization and compensation
Journal of Control Science and Engineering - Special issue on Dynamic Neural Networks for Model-Free Control and Identification
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Nonlinear system online identification via dynamic neural networks is studied in this paper. The main contribution of the paper is that the passivity approach is applied to access several new stable properties of neuro identification. The conditions for passivity, stability, asymptotic stability, and input-to-state stability are established in certain senses. We conclude that the gradient descent algorithm for weight adjustment is stable in an L∞ sense and robust to any bounded uncertainties