Name
Title | ||
|---|---|---|
Nonlinear Model Predictive Control Based on a Self-Organizing Recurrent Neural Network. |
Abstract | ||
|---|---|---|
A nonlinear model predictive control (NMPC) scheme is developed in this paper based on a self-organizing recurrent radial basis function (SR-RBF) neural network, whose structure and parameters are adjusted concurrently in the training process. The proposed SR-RBF neural network is represented in a general nonlinear form for predicting the future dynamic behaviors of nonlinear systems. To improve t... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TNNLS.2015.2465174 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Neurons,Biological neural networks,Recurrent neural networks,Nonlinear systems,Predictive models,Feedforward neural networks | Gradient method,Feedforward neural network,Computer science,Model predictive control,Recurrent neural network,Lyapunov stability,Artificial intelligence,Control system,Artificial neural network,Optimization problem,Machine learning | Journal |
Volume | Issue | ISSN |
27 | 2 | 2162-237X |
Citations | PageRank | References |
17 | 0.64 | 34 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hong-Gui Han | 1 | 476 | 39.06 |
| Lu Zhang | 2 | 163 | 40.09 |
| Ying Hou | 3 | 40 | 3.43 |
| Jun-Fei Qiao | 4 | 798 | 74.56 |