debugging comms constraints
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@@ -18,7 +18,7 @@ function [obj] = constrainMotion(obj)
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nAAPairs = nchoosek(size(obj.agents, 1), 2); % unique agent/agent pairs
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nAOPairs = size(obj.agents, 1) * size(obj.obstacles, 1); % unique agent/obstacle pairs
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nADPairs = size(obj.agents, 1) * 5; % agents x (4 walls + 1 ceiling)
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nLNAPairs = sum(obj.constraintAdjacencyMatrix) - size(obj.agents, 1);
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nLNAPairs = sum(obj.constraintAdjacencyMatrix, 'all') - size(obj.agents, 1);
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total = nAAPairs + nAOPairs + nADPairs + nLNAPairs;
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kk = 1;
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A = zeros(total, 3 * size(obj.agents, 1));
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@@ -98,14 +98,22 @@ function [obj] = constrainMotion(obj)
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% Add communication network constraints
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hComms = NaN(size(obj.agents, 1));
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hComms(logical(eye(size(obj.agents, 1)))) = 0; % self value is 0
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hComms(logical(eye(size(obj.agents, 1)))) = 0;
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for ii = 1:(size(obj.agents, 1) - 1)
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for jj = (ii + 1):size(obj.agents, 1)
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if obj.constraintAdjacencyMatrix(ii, jj)
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hComms(ii, jj) = (agents(ii).commsGeometry.radius + agents(jj).commsGeometry.radius)^2 - norm(agents(ii).pos - agents(jj).pos)^2;
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hComms(jj, ii) = hComms(ii, jj);
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% d = agents(ii).pos - agents(jj).pos;
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% h = agents(ii).commsGeometry.radius^2 - dot(d,d);
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%
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% A(kk, (3*ii-2):(3*ii)) = 2*d;
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% A(kk, (3*jj-2):(3*jj)) = -2*d;
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% b(kk) = obj.barrierGain * h^3;
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%
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% kk = kk + 1;
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A(kk, (3 * ii - 2):(3 * ii)) = -2 * (agents(ii).pos - agents(jj).pos);
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hComms(ii, jj) = agents(ii).commsGeometry.radius^2 - norm(agents(ii).pos - agents(jj).pos)^2;
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A(kk, (3 * ii - 2):(3 * ii)) = 2 * (agents(ii).pos - agents(jj).pos);
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A(kk, (3 * jj - 2):(3 * jj)) = -A(kk, (3 * ii - 2):(3 * ii));
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b(kk) = obj.barrierGain * hComms(ii, jj)^3;
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kk = kk + 1;
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@@ -119,8 +127,12 @@ function [obj] = constrainMotion(obj)
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f = -2 * vhat;
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% Update solution based on constraints
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assert(size(A,2) == size(H,1))
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assert(size(A,1) == size(b,1))
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assert(size(H,1) == length(f))
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opt = optimoptions('quadprog', 'Display', 'off');
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[vNew, ~, exitflag] = quadprog(sparse(H), double(f), A, b, [],[], [], [], [], opt);
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[vNew, ~, exitflag, m] = quadprog(sparse(H), double(f), A, b, [],[], [], [], [], opt);
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assert(exitflag == 1, sprintf('quadprog failure... %s%s', newline, m.message));
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vNew = reshape(vNew, 3, size(obj.agents, 1))';
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if exitflag <= 0
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@@ -21,12 +21,8 @@ function obj = lesserNeighbor(obj)
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% indexed agent provides connectivity already
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for jj = 1:(ii - 1)
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for kk = 1:(jj - 1)
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% Check if a connection between the two lesser agents
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% already exists
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if constraintAdjacencyMatrix(jj, kk)
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constraintAdjacencyMatrix(jj, kk) = false;
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constraintAdjacencyMatrix(kk, jj) = false;
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end
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constraintAdjacencyMatrix(ii, kk) = false;
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constraintAdjacencyMatrix(kk, ii) = false;
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end
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end
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end
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@@ -18,12 +18,12 @@ function obj = updateAdjacency(obj)
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continue;
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end
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% Check that agents do not have their line of sight obstructed
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for kk = 1:size(obj.obstacles, 1)
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if obj.obstacles{kk}.containsLine(obj.agents{jj}.pos, obj.agents{ii}.pos)
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A(ii, jj) = false;
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end
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end
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% % Check that agents do not have their line of sight obstructed
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% for kk = 1:size(obj.obstacles, 1)
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% if obj.obstacles{kk}.containsLine(obj.agents{jj}.pos, obj.agents{ii}.pos)
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% A(ii, jj) = false;
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% end
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% end
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end
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end
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@@ -507,7 +507,7 @@ classdef test_miSim < matlab.unittest.TestCase
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geometry1 = spherical;
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geometry2 = geometry1;
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geometry1 = geometry1.initialize(tc.domain.center - d + [0, radius * 1.5, 0], radius, REGION_TYPE.COLLISION, sprintf("Agent %d collision volume", 1));
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geometry2 = geometry2.initialize(tc.domain.center - d - [0, radius * 1.5, 0] - [0, 1, 0], radius, REGION_TYPE.COLLISION, sprintf("Agent %d collision volume", 1));
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geometry2 = geometry2.initialize(tc.domain.center - d - [0, radius * 1.5, 0], radius, REGION_TYPE.COLLISION, sprintf("Agent %d collision volume", 1));
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% Initialize agent sensor model
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sensor = sigmoidSensor;
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@@ -516,8 +516,8 @@ classdef test_miSim < matlab.unittest.TestCase
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% Initialize agents
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tc.agents = {agent; agent;};
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tc.agents{1} = tc.agents{1}.initialize(tc.domain.center - d + [0, radius * 1.5, 0], zeros(1,3), 0, 0, geometry1, sensor, @gradientAscent, 4, 1, sprintf("Agent %d", 1), false, false);
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tc.agents{2} = tc.agents{2}.initialize(tc.domain.center - d - [0, radius * 1.5, 0] - [0, 1, 0], zeros(1,3), 0, 0, geometry2, sensor, @gradientAscent, 4, 2, sprintf("Agent %d", 2), false, false);
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tc.agents{1} = tc.agents{1}.initialize(tc.domain.center - d + [0, radius * 1.5, 0], zeros(1,3), 0, 0, geometry1, sensor, @gradientAscent, 10, 1, sprintf("Agent %d", 1), false, false);
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tc.agents{2} = tc.agents{2}.initialize(tc.domain.center - d - [0, radius * 1.5, 0], zeros(1,3), 0, 0, geometry2, sensor, @gradientAscent, 10, 2, sprintf("Agent %d", 2), false, false);
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% Initialize obstacles
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obstacleLength = 1;
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