Using a New Model of Recurrent Neural Network for Control
Neural Processing Letters
Neural Control of the Movements of a Wheelchair
Journal of Intelligent and Robotic Systems
Fuzzy Sets and Systems - Fuzzy systems
Comparative Study of Neural Network Controllers for Nonlinear Dynamic Systems
AI '00 Proceedings of the 13th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
IBERAMIA-SBIA '00 Proceedings of the International Joint Conference, 7th Ibero-American Conference on AI: Advances in Artificial Intelligence
Control of a Robotic Wheelchair Using Recurrent Networks
Autonomous Robots
Design of Adaptive Robot Control System Using Recurrent Neural Network
Journal of Intelligent and Robotic Systems
A simulated annealing-based learning algorithm for block-diagonal recurrent neural networks
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
Information Sciences: an International Journal
Locally recurrent neural networks for wind speed prediction using spatial correlation
Information Sciences: an International Journal
Nonlinear active noise control using EKF-based recurrent fuzzy neural networks
International Journal of Hybrid Intelligent Systems
Adjoint EKF learning in recurrent neural networks for nonlinear active noise control
Applied Soft Computing
Stable Learning Algorithm of Global Neural Network for Identification of Dynamic Complex Systems
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Nonlinear systems control using self-constructing wavelet networks
Applied Soft Computing
Engineering Applications of Artificial Intelligence
A Hybrid Recurrent Neural Network for Machining Process Modeling
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Expert Systems with Applications: An International Journal
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Expert Systems with Applications: An International Journal
A neural network approach to multiobjective and multilevel programming problems
Computers & Mathematics with Applications
Nonlinear predictive control for oxygen supply of a fuel cell system
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Diagonal recurrent neural network as an on-line identifier of a nonlinear energy system
MS '08 Proceedings of the 19th IASTED International Conference on Modelling and Simulation
Standalone CMAC control system with online learning ability
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Robust air/fuel ratio control with adaptive DRNN model and AD tuning
Engineering Applications of Artificial Intelligence
PCA based pressure control of a gas mixing chamber
ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
An evolutionary neural network based tracking control of a human arm in the sagittal plane
ISICA'07 Proceedings of the 2nd international conference on Advances in computation and intelligence
Nonlinear identification based on diagonal recurrent neural network and particle filter
ICNC'09 Proceedings of the 5th international conference on Natural computation
Quality modeling of chemical product based on a new chaotic Elman neural network
ICNC'09 Proceedings of the 5th international conference on Natural computation
Identification of finite state automata with a class of recurrent neural networks
IEEE Transactions on Neural Networks
New stability criteria for recurrent neural networks with a time-varying delay
International Journal of Automation and Computing
An adaptive control for AC servo system using recurrent fuzzy neural network
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Neurocontroller via adaptive learning rates for stable path tracking of mobile robots
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Dynamic soft-sensing model by combining diagonal recurrent neural network with levinson predictor
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
A new learning algorithm for diagonal recurrent neural network
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Adaptive control scheme based on the least squares support vector machine network
International Journal of Applied Mathematics and Computer Science
Precision control of magnetostrictive actuator using dynamic recurrent neural network with hysteron
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Fault tolerant control of nonlinear processes with adaptive diagonal recurrent neural network model
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
A recurrent neural network modeling for automotive magnetorheological fluid shock absorber
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
A system identification using DRNN based on swarm intelligence
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part II
Journal of Control Science and Engineering - Special issue on Dynamic Neural Networks for Model-Free Control and Identification
Expert Systems: The Journal of Knowledge Engineering
A context layered locally recurrent neural network for dynamic system identification
Engineering Applications of Artificial Intelligence
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
| Hi-index | 0.01 |
A new neural paradigm called diagonal recurrent neural network (DRNN) is presented. The architecture of DRNN is a modified model of the fully connected recurrent neural network with one hidden layer, and the hidden layer comprises self-recurrent neurons. Two DRNN's are utilized in a control system, one as an identifier called diagonal recurrent neuroidentifier (DRNI) and the other as a controller called diagonal recurrent neurocontroller (DRNC). A controlled plant is identified by the DRNI, which then provides the sensitivity information of the plant to the DRNC. A generalized dynamic backpropagation algorithm (DBP) is developed and used to train both DRNC and DRNI. Due to the recurrence, the DRNN can capture the dynamic behavior of a system. To guarantee convergence and for faster learning, an approach that uses adaptive learning rates is developed by introducing a Lyapunov function. Convergence theorems for the adaptive backpropagation algorithms are developed for both DRNI and DRNC. The proposed DRNN paradigm is applied to numerical problems and the simulation results are included