Name
Title | ||
|---|---|---|
Neural Network Based Online Simultaneous Policy Update Algorithm for Solving the HJI Equation in Nonlinear H Control. |
Abstract | ||
|---|---|---|
It is well known that the nonlinear H∞ state feedback control problem relies on the solution of the Hamilton-Jacobi-Isaacs (HJI) equation, which is a nonlinear partial differential equation that has proven to be impossible to solve analytically. In this paper, a neural network (NN)-based online simultaneous policy update algorithm (SPUA) is developed to solve the HJI equation, in which knowledge o... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TNNLS.2012.2217349 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Equations,Mathematical model,Approximation methods,Artificial neural networks,Convergence,Optimal control,Cost function | Convergence (routing),Nonlinear system,Control theory,Computer science,Artificial intelligence,Fixed point,Artificial neural network,Reinforcement learning,Newton's method,Mathematical optimization,Optimal control,Algorithm,Partial differential equation,Machine learning | Journal |
Volume | Issue | ISSN |
23 | 12 | 2162-237X |
Citations | PageRank | References |
53 | 1.84 | 19 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huai-Ning Wu | 1 | 2104 | 98.52 |
| Biao Luo | 2 | 554 | 23.80 |