Work

Iterative Stackelberg equilibrium finding for linear quadratic differential games

Year: 2025

Type: article

Abstract: We propose two iterative methods to determine a linear feedback Stackelberg equilibrium solution in two-player linear quadratic differential games between a leader and a follower. The update laws involve the solution of Lyapunov or Riccati equations. Conditions for recursive feasibility and local convergence of the update laws are analysed and illustrated via numerical examples.

Source: Automatica

DOI: 10.1016/j.automatica.2025.112648

Authors: Benita Nortmann, Pranoy Das, Vijay Gupta, Thulasi Mylvaganam

Institutions: Imperial College London, Swiss Federal Laboratories for Materials Science and Technology, Purdue University West Lafayette

Language: English

Topic: Advanced Control Systems Optimization

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $3,760

Funders: National Science Foundation, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, NCCR Catalysis