Abstract
This study demonstrates the integration of Improved Grey Wolf Optimization (IGWO) Algorithm with Inverse Optimal Control Methodology. In inverse optimal control technique, a parametric Lyapunov function is defined and then the optimal values of the parameters are determined. In this work, the optimization problem is formulated with two objective functions to be simultaneously minimized. These objective functions are combined with scaling factors and IGWO is implemented to obtain the optimal values of the parameter matrix. The performance of the proposed method is evaluated with simulations on a discrete, nonlinear benchmark problem. After the optimal values of the parameter matrix are obtained, system states and control input signal are illustrated.
| Original language | English |
|---|---|
| Title of host publication | 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 47-51 |
| Number of pages | 5 |
| ISBN (Electronic) | 9786050114379 |
| DOIs | |
| Publication status | Published - 2021 |
| Event | 13th International Conference on Electrical and Electronics Engineering, ELECO 2021 - Virtual, Bursa, Turkey Duration: 25 Nov 2021 → 27 Nov 2021 |
Publication series
| Name | 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021 |
|---|
Conference
| Conference | 13th International Conference on Electrical and Electronics Engineering, ELECO 2021 |
|---|---|
| Country/Territory | Turkey |
| City | Virtual, Bursa |
| Period | 25/11/21 → 27/11/21 |
Bibliographical note
Publisher Copyright:© 2021 Chamber of Turkish Electrical Engineers.
Keywords
- Improved Grey Wolf Optimization
- Inverse Optimal Control
- Multi-objective Control
- Nonlinear Systems