Name
Abstract | ||
|---|---|---|
This paper presents a combined identification/ Q-function fitting methodology that involves identification of a Takagi–Sugeno model, computation of (sub)optimal controllers from linear matrix inequalities (LMIs), and subsequent data-based fitting of the Q-function via monotonic optimization. The LMI-based initialization provides a conservative solution, but it is a sensible starting point to avoid convergence/local-minima issues in raw data-based fitted Q-iteration or Bellman residual minimization. An inverted-pendulum experimental case study illustrates the approach. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TCST.2018.2885689 | IEEE Transactions on Control Systems and Technology |
Keywords | Field | DocType |
Mathematical model,Optimal control,Proposals,Linear matrix inequalities,Optimization,Minimization,Indexes | Convergence (routing),Applied mathematics,Residual,Matrix (mathematics),Control theory,Maxima and minima,Minification,Q-function,Initialization,Mathematics,Computation | Journal |
Volume | Issue | ISSN |
28 | 2 | 1063-6536 |
Citations | PageRank | References |
0 | 0.34 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Henry Díaz | 1 | 0 | 0.34 |
| Leopoldo Armesto | 2 | 157 | 19.88 |
| A. Sala | 3 | 562 | 33.44 |