搜索资源列表
untitled100
- 一个简单实用的二阶多智能体系统一致性的simulink仿真框图，可以进行修改，做实验-A simple and practical second-order multi-agent system consistency simulink simulation block diagram can be modified to do experiments, etc.
untitled123
- 一个简单实用的二阶多智能体系统一致性的仿真框图，适合于初学者和大学生，可以进行修改，做实验-A simple and practical second-order multi-agent system consistency simulink simulation block diagram can be modified to do experiments, etc.
untitled
- 一个简单实用的二阶多智能体系统一致性的仿真框图，适合于初学者和大学生，可以进行修改，做实验-A simple and practical simulation block diagram of the second-order multi-agent system consistency, suitable for both beginners and college students, can be modified to do experiments, etc.
formationcontrol
- 实现多智能体的编队控制，对程序稍加修改就可以实现多个多智能体的队形控制，包括直线型、三角形等各种队形。-Formation of multi-agent control, can be slightly modified the program to achieve a number of multi-agent formation control, including linear, triangles and other formations.
discreteconsensus
- 多个体协调控制,可以实现多个个体的状态在切换拓扑下达到一致-multi-agent system coorination
TileWorld1
- a solution of tillword problem with obstacles on Netlogo , multi-agent programmation
tp7_question-3-1
- tp de netlogo systeme multi-agent
square_3D
- 根据多智能体一致性理论，通过多智能体系统的拓扑结构定义了邻接矩阵，控制系统内多个智能体从分散的初始位置最后达到一个确定队形的编队运动。-Based on multi-agent theory, the adjacency matrix is defined by the topology of multi-agent systems, multiple agent control system from dispersed initial position last reached a cert
src
- It is used for multi agent systems
h1
- 关于多智能体系统一致性的程序，解微分方程-Consistency of multi-agent systems program
2dflocking
- 在没有虚拟领导者的情况下能够实现多智能体编队，并能够避免智能体之间的碰撞-Under no circumstances can the virtual leader of the multi-agent formation, and the ability to avoid collisions between agent
napping
- 非参数政策梯度的napping机制的java代码参考文献：Qing Da, Yang Yu, and Zhi-Hua Zhou. Napping for Functional Representation of Policy. In: Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 14), Paris, France, 2014.-This
pso
- 粒子群优化算法(Particle Swarm optimization,PSO)又翻译为粒子群算法、微粒群算法、或微粒群优化算法。是通过模拟鸟群觅食行为而发展起来的一种基于群体协作的随机搜索算法。通常认为它是群集智能 (Swarm intelligence, SI) 的一种。它可以被纳入多主体优化系统(Multiagent Optimization System, MAOS).粒子群优化算法是由Eberhart博士和kennedy博士发明。-PSO (Particle Swarm optimiz
PSOaMAPSO-reactive-power-opti
- 标准14节点的无功优化，粒子群算法和多智能体粒子群算法的实现，需要放到matpowe里。-ieee14 nodes system reactive optimized to achieve PSO and Multi-Agent particle swarm algorithm, need to put matpower environment.
Intelligent-control
- 资料包含三个部分： 1：多智能体系统一致性迭代学习控制的理论和算法 2：运用Hopfield神经网络求解优化问题 3：模糊系统设计的原理和算法-Theory and algorithms of multi-agent system consistency Iterative Learning Control 2:: Data consists of three parts: a use of Hopfield neural networks for solving optimizat
Coverage_Nemati
- Coverage Algorithm for a mobile robots in a multi agent control systems
flock-simulation
- 基于matlab的二阶微分动力学的智能体flocking数值模拟，其中每个智能体的动力学用微分方程来描述，给出每个个体组后的最后位置与运动方向。-a matlab code for second-order differential multi-agent flocking simulation, each agent s dynamics is described by using differential equation. it gives the figure of all agents
foryang
- 地面多个体系统循环追踪运动的简单实现，基于循环追踪算法，实现地面多个体系统的运动稳定-cyclic pursuit of multi-agent system
CBBA
- 该CBBA(Consensus-Based Bundle Algorithm)算法可以解决带有任务属性、任务价值、任务时间窗等多种约束下的任务分配问题，结果以图形化展示，便于理解。-CBBA is a decentralized market-based protocol that provides provably good approximate solutions for multi-agent multi-task allocation problems over networks of
OptimalPConsensusPObstacle-Avoidance
- 文件包里包含了多智能体最优一致性避障算法研究文章一篇及Matlab仿真源程序。-File package contains a multi-agent avoidance algorithm for optimal consistency an article and Matlab simulation source.