DOAJ Open Access 2025

A Stackelberg Game Approach to Model Reference Adaptive Control for Spacecraft Pursuit–Evasion

Gena Gan Ming Chu Huayu Zhang Shaoqi Lin

Abstrak

A Stackelberg equilibrium–based Model Reference Adaptive Control (MSE) method is proposed for spacecraft Pursuit–Evasion (PE) games with incomplete information and sequential decision making under a non–zero–sum framework. First, the spacecraft PE dynamics under <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>J</mi><mn>2</mn></msub></semantics></math></inline-formula> perturbation are mapped to a dynamic Stackelberg game model. Next, the Riccati equation solves the equilibrium problem, deriving the evader’s optimal control strategy. Finally, a model reference adaptive algorithm enables the pursuer to dynamically adjust its control gains. Simulations show that the MSE strategy outperforms Nash Equilibrium (NE) and Single–step Prediction Stackelberg Equilibrium (SSE) methods, achieving 25.46% faster convergence than SSE and 39.11% lower computational cost than NE.

Penulis (4)

G

Gena Gan

M

Ming Chu

H

Huayu Zhang

S

Shaoqi Lin

Format Sitasi

Gan, G., Chu, M., Zhang, H., Lin, S. (2025). A Stackelberg Game Approach to Model Reference Adaptive Control for Spacecraft Pursuit–Evasion. https://doi.org/10.3390/aerospace12070613

Akses Cepat

PDF tidak tersedia langsung

Cek di sumber asli →
Lihat di Sumber doi.org/10.3390/aerospace12070613
Informasi Jurnal
Tahun Terbit
2025
Sumber Database
DOAJ
DOI
10.3390/aerospace12070613
Akses
Open Access ✓