Multi-agent dynamic system with swarm behavior: algorithm and theory (Matlab implementation)
In multi-agent systems, swarm behavior is an important research area. Swarm behavior refers to a group of intelligent agents forming a coordinated collective behavior through collaboration and interaction. This behavior has applications in many fields, such as robotics, collaborative control of drones, traffic flow, etc. In this article, we will introduce some common algorithms and theories of cluster behavior and provide source code examples implemented using Matlab.
- Reynolds Boids model
The Reynolds Boids model is one of the classic models in cluster behavior research. This model describes the interaction and coordination behavior between agents by simulating the behavior of a flock of birds. In this model, each agent (called a Boid) adjusts its movement according to three basic rules: separation, alignment, and aggregation. The separation rule makes the agent avoid getting too close to nearby agents, the alignment rule makes the agent move in a direction consistent with the average direction of its surrounding agents, and the aggregation rule makes the agent tend to move in a direction consistent with the average position of its surrounding agents. Position moves.
The following is sample code for implementing the Reynolds Boids model using Matlab:
% 参数设置
num_agents = 50; % 智能体数量
max_speed = 2; % 最大速度
neighb