Solving Optimal Control Problems With State Constraints Using Nonlinear Programming and Simulation Tools
Bibliographic Data
| ID | 20295685 |
|---|---|
| Authors | Victor M Becerra (0000-0002-3790-4236, University of Reading, corresponding author) |
| Year | 2004 |
| Volume | 47 |
| Issue | 3 |
| Pages | 377-384 |
| Publication date | 2004-08-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | IEEE Transactions on Education (JOURNAL) |
| Journal identifiers | ISSN: 0018-9359 • E-ISSN: 1557-9638 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) (PUBLISHER) |
| DOI | 10.1109/te.2004.825925 |
| OpenAlex | W2136802860 |
| Language | EN |
| Citations received | 2 |
| References cited | 9 |
This paper illustrates how nonlinear programming and simulation tools, which are available in packages such as MATLAB and SIMULINK, can easily be used to solve optimal control problems with state- and/or input-dependent inequality constraints. The method presented is illustrated with a model of a single-link manipulator. The method is suitable to be taught to advanced undergraduate and Master's level students in control engineering
Algorithm · Control (management) · Control engineering · Control theory (sociology) · Mathematical optimization · MATLAB · Nonlinear programming · Nonlinear system · Optimal control · Programming language · State (computer science) · Aerospace Engineering and Control Systems · Artificial Intelligence · Computer Science · Engineering · Mathematics · Space Satellite Systems and Control · Spacecraft Dynamics and Control
| Citations per year | 0.1 |
|---|---|
| Citation span | 2006 - 2011 (6) |
| Highly cited | No |