一致性ADMM的MATLAB代码
时间: 2024-04-14 19:01:57 浏览: 169
以下是一致性ADMM的MATLAB代码示例:
```matlab
function [x_global] = consensus_ADMM(x_local, z, rho, neighbors, max_iter, tol)
for i = 1:max_iter
x_local_new = local_update(x_local, z, rho);
received_info = exchange_info(x_local_new, neighbors);
x_global = sync_variables(x_local_new, received_info);
z = z + rho * (x_global - x_local_new);
% 判断收敛条件
if norm(x_local_new - x_local) < tol
break;
end
x_local = x_local_new;
end
end
function [x_local_new] = local_update(x_local, z, rho)
% 执行局部变量更新
x_local_new = (z + rho * x_local) / (1 + rho);
end
function [received_info] = exchange_info(x_local, neighbors)
% 与邻居节点交换信息
received_info = {};
for i = 1:numel(neighbors)
received_info{i} = send_info(neighbors{i}, x_local);
end
end
function [received_info] = send_info(neighbor, x_local)
% 模拟发送信息给邻居节点,并返回接收到的信息
received_info = x_local;
end
function [x_global] = sync_variables(x_local, received_info)
% 同步变量
received_info = [x_local; received_info];
x_global = mean(cell2mat(received_info), 1);
end
% 示例使用,定义一个节点类
classdef Node < handle
properties
id
neighbors
end
methods
function self = Node(id)
self.id = id;
self.neighbors = {};
end
function add_neighbor(self, neighbor)
self.neighbors{end+1} = neighbor;
end
function received_info = send_info(self, x_local)
% 模拟发送信息给邻居节点,并返回接收到的信息
received_info = x_local;
end
end
end
% 创建节点
node1 = Node(1);
node2 = Node(2);
node3 = Node(3);
% 设置节点之间的邻居关系
node1.add_neighbor(node2);
node1.add_neighbor(node3);
node2.add_neighbor(node1);
node2.add_neighbor(node3);
node3.add_neighbor(node1);
node3.add_neighbor(node2);
% 初始化参数
x_local = [1, 2, 3];
z = [0, 0, 0];
rho = 0.1;
max_iter = 100;
tol = 1e-4;
% 运行一致性ADMM算法
x_global = consensus_ADMM(x_local, z, rho, {node2, node3}, max_iter, tol);
disp('全局变量:');
disp(x_global);
```
请注意,上述代码仅提供了一种简单的MATLAB实现示例,实际应用中可能需要根据具体问题进行适当的修改和扩展。
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