Sequential Linear-Quadratic Method for Differential Games with Air Combat Applications
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Summary
This work presents a numerical method for computing a local Nash (saddle-point) solution to a zero-sum differential game for a nonlinear system and demonstrates experimentally that the solution estimates converge to aLocal Nash (Saddle) solution of the original game.
- Type
- article
- Published
- 2003-03-20
- Cited by
- 10
- References
- 10
- OpenAlex
- https://openalex.org/W76452979
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:29181905
Keywords
Saddle point, Mathematics, Saddle, Differential game, Nash equilibrium
References
- Stochastic and differential games : theory and numerical methods
- Topics in Control Theory
- Optimization by Vector Space Methods
- Dynamic Noncooperative Game Theory
- Game-theoretic linear quadratic method for air mission control
- Sequential quadratic methods for differential games
- Foundations of optimal control theory
- Applied Optimal Control
- Optimal Control
- Differential Games
- Differential Games
- Differential games
Cited by
- Estimation for Air Combat Games with Unknown Enemy Inputs
- Solution of a Differential Game Formulation of Military Air Operations by the Method of Characteristics
- Multinomial Selection in the Presence of Infinite Alternatives
- An Air Combat Decision Learning System Based on a Brain-Like Cognitive Mechanism
- Learning System for Air Combat Decision Inspired by Cognitive Mechanisms of the Brain
- Engagement Decision Support for Beyond Visual Range Air Combat
- UAV Air Game Maneuver Decision-Making Using Dueling Double Deep Q Network with Expert Experience Storage Mechanism
- Decision-Making Method of Multi-UAV Cooperate Air Combat Under Uncertain Environment
- Solution of a Differential Game Formulation of Military Air Operations by the Method of Characteristics
- Trajectory Optimization for Cooperative Air Combat Engagement Based on Receding Horizon Control
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