Name
Title | ||
|---|---|---|
Optimal Control for Unknown Discrete-Time Nonlinear Markov Jump Systems Using Adaptive Dynamic Programming. |
Abstract | ||
|---|---|---|
In this paper, we develop and analyze an optimal control method for a class of discrete-time nonlinear Markov jump systems (MJSs) with unknown system dynamics. Specifically, an identifier is established for the unknown systems to approximate system states, and an optimal control approach for nonlinear MJSs is developed to solve the Hamilton-Jacobi-Bellman equation based on the adaptive dynamic pro... |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TNNLS.2014.2305841 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Optimal control,Performance analysis,Equations,Neural networks,Convergence,Nonlinear systems,Markov processes | Dynamic programming,Mathematical optimization,Nonlinear system,Optimal control,Computer science,Control theory,Markov chain,Markov decision process,System dynamics,Discrete time and continuous time,Artificial neural network | Journal |
Volume | Issue | ISSN |
25 | 12 | 2162-237X |
Citations | PageRank | References |
49 | 1.15 | 33 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiangnan Zhong | 1 | 346 | 16.35 |
| Haibo He | 2 | 3653 | 213.96 |
| H Zhang | 3 | 7027 | 358.18 |
| Zhanshan Wang | 4 | 2194 | 106.95 |