This invention discloses a multi-agent cooperative control method for cross-domain unmanned swarms across land, sea, air, and space, comprising the following steps: S1: Constructing a decoupling model to separate the complexity of cooperative control along three dimensions: hierarchical, frequency-based, and domain-based; S2: Based on the decoupling model, designing a unified cooperative strategy, which generates personalized control objectives adapted to the dynamics and roles of agents in different dimensions according to a dynamically updated cross-domain cooperative situation map; S3: Introducing an event-triggered distributed
reinforcement learning mechanism for each agent, ensuring that the agent triggers only when preset triggering conditions are met. This invention, through a hierarchical-frequency-domain triple decoupling model, separates the extreme complexity of cross-domain cooperation along three orthogonal dimensions:
task level, control frequency, and
physical space, and defines a standard interface to encapsulate the dynamics of heterogeneous platforms, reducing the complexity of
system design and analysis.