Optimal control problems under incomplete information, particularly in pursuit-evasion scenarios, present significant mathematical challenges. This study extends a basic time-optimal pursuit-evasion game by introducing a time-dependent observer parameter, $\lambda(t)$, which enhances the model's realism without altering the fundamental control strategy. We derive an optimal control law for the pursuer, based on current observations, and explicitly calculate the minimum capture time for a piecewise constant $\lambda(t)$. This work provides an analytical framework for managing uncertainty in dynamic environments, with direct applications in robotics, autonomous navigation, and search-and-rescue operations.
| Primary Language | English |
|---|---|
| Subjects | Applied Mathematics (Other) |
| Journal Section | Research Article |
| Authors | |
| Early Pub Date | October 2, 2025 |
| Publication Date | December 13, 2025 |
| Submission Date | July 15, 2025 |
| Acceptance Date | September 15, 2025 |
| Published in Issue | Year 2025 Volume: 8 Issue: 4 |
Journal of Mathematical Sciences and Modelling
The published articles in JMSM are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.