updated plotting org
This commit is contained in:
@@ -1,4 +1,4 @@
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function [obj, f] = initialize(obj, domain, objective, agents, timestep, partitoningFreq, maxIter, obstacles)
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function obj = initialize(obj, domain, objective, agents, timestep, partitoningFreq, maxIter, obstacles)
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arguments (Input)
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obj (1, 1) {mustBeA(obj, 'miSim')};
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domain (1, 1) {mustBeGeometry};
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@@ -11,7 +11,6 @@ function [obj, f] = initialize(obj, domain, objective, agents, timestep, partito
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end
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arguments (Output)
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obj (1, 1) {mustBeA(obj, 'miSim')};
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f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
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end
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% Define simulation time parameters
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@@ -38,5 +37,5 @@ function [obj, f] = initialize(obj, domain, objective, agents, timestep, partito
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obj = obj.partition();
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% Set up plots showing initialized state
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[obj, f] = obj.plot();
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obj = obj.plot();
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end
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@@ -13,14 +13,19 @@ classdef miSim
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adjacency = NaN; % Adjacency matrix representing communications network graph
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sensorPerformanceMinimum = 1e-6; % minimum sensor performance to allow assignment of a point in the domain to a partition
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partitioning = NaN;
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performance = NaN; % current cumulative sensor performance
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end
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properties (Access = private)
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% Plot objects
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f = firstPlotSetup(); % main plotting tiled layout figure
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connectionsPlot; % objects for lines connecting agents in spatial plots
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graphPlot; % objects for abstract network graph plot
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partitionPlot; % objects for partition plot
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fPerf = figure; % performance plot figure
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performancePlot; % objects for sensor performance plot
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% Indicies for various plot types in the main tiled layout figure
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spatialPlotIndices = [6, 4, 3, 2];
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objectivePlotIndices = [6, 4];
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@@ -29,15 +34,15 @@ classdef miSim
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end
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methods (Access = public)
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[obj, f] = initialize(obj, domain, objective, agents, timestep, partitoningFreq, maxIter, obstacles);
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[obj, f] = run(obj, f);
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[obj] = partition(obj);
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[obj] = updateAdjacency(obj);
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[obj, f] = plot(obj);
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[obj, f] = plotConnections(obj, ind, f);
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[obj, f] = plotPartitions(obj, ind, f);
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[obj, f] = plotGraph(obj, ind, f);
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[obj, f] = updatePlots(obj, f, updatePartitions);
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[obj] = initialize(obj, domain, objective, agents, timestep, partitoningFreq, maxIter, obstacles);
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[obj] = run(obj);
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[obj] = partition(obj);
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[obj] = updateAdjacency(obj);
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[obj] = plot(obj);
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[obj] = plotConnections(obj);
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[obj] = plotPartitions(obj);
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[obj] = plotGraph(obj);
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[obj] = updatePlots(obj, updatePartitions);
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end
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methods (Access = private)
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[v] = setupVideoWriter(obj);
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@@ -15,6 +15,9 @@ function obj = partition(obj)
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% Get highest performance value at each point
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[~, idx] = max(agentPerformances, [], 3);
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% Current total performance
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obj.performance = sum(max(agentPerformances(:, :, 1:(end - 1)), [], 3), 'all');
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% Collect agent indices in the same way
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agentInds = cellfun(@(x) x.index * ones(size(obj.objective.X)), obj.agents, 'UniformOutput', false);
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agentInds{end + 1} = zeros(size(agentInds{end})); % index for no assignment
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@@ -1,41 +1,40 @@
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function [obj, f] = plot(obj)
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function obj = plot(obj)
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arguments (Input)
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obj (1, 1) {mustBeA(obj, 'miSim')};
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end
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arguments (Output)
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obj (1, 1) {mustBeA(obj, 'miSim')};
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f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
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end
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% Plot domain
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[obj.domain, f] = obj.domain.plotWireframe(obj.spatialPlotIndices);
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[obj.domain, obj.f] = obj.domain.plotWireframe(obj.spatialPlotIndices);
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% Plot obstacles
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for ii = 1:size(obj.obstacles, 1)
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[obj.obstacles{ii}, f] = obj.obstacles{ii}.plotWireframe(obj.spatialPlotIndices, f);
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[obj.obstacles{ii}, obj.f] = obj.obstacles{ii}.plotWireframe(obj.spatialPlotIndices, obj.f);
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end
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% Plot objective gradient
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f = obj.domain.objective.plot(obj.objectivePlotIndices, f);
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obj.f = obj.domain.objective.plot(obj.objectivePlotIndices, obj.f);
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% Plot agents and their collision geometries
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for ii = 1:size(obj.agents, 1)
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[obj.agents{ii}, f] = obj.agents{ii}.plot(obj.spatialPlotIndices, f);
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[obj.agents{ii}, obj.f] = obj.agents{ii}.plot(obj.spatialPlotIndices, obj.f);
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end
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% Plot communication links
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[obj, f] = obj.plotConnections(obj.spatialPlotIndices, f);
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obj = obj.plotConnections();
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% Plot abstract network graph
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[obj, f] = obj.plotGraph(obj.networkGraphIndex, f);
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obj = obj.plotGraph();
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% Plot domain partitioning
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[obj, f] = obj.plotPartitions(obj.partitionGraphIndex, f);
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obj = obj.plotPartitions();
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% Enforce plot limits
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for ii = 1:size(obj.spatialPlotIndices, 2)
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xlim(f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(1), obj.domain.maxCorner(1)]);
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ylim(f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(2), obj.domain.maxCorner(2)]);
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zlim(f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(3), obj.domain.maxCorner(3)]);
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xlim(obj.f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(1), obj.domain.maxCorner(1)]);
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ylim(obj.f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(2), obj.domain.maxCorner(2)]);
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zlim(obj.f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(3), obj.domain.maxCorner(3)]);
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end
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end
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@@ -1,12 +1,9 @@
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function [obj, f] = plotConnections(obj, ind, f)
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function obj = plotConnections(obj)
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arguments (Input)
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obj (1, 1) {mustBeA(obj, 'miSim')};
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ind (1, :) double = NaN;
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f (1, 1) {mustBeA(f, 'matlab.ui.Figure')} = figure;
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end
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arguments (Output)
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obj (1, 1) {mustBeA(obj, 'miSim')};
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f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
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end
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% Iterate over lower triangle off-diagonal region of the
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@@ -24,20 +21,20 @@ function [obj, f] = plotConnections(obj, ind, f)
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X = X'; Y = Y'; Z = Z';
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% Plot the connections
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if isnan(ind)
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hold(f.CurrentAxes, "on");
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o = plot3(f.CurrentAxes, X, Y, Z, 'Color', 'g', 'LineWidth', 2, 'LineStyle', '--');
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hold(f.CurrentAxes, "off");
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if isnan(obj.spatialPlotIndices)
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hold(obj.f.CurrentAxes, "on");
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o = plot3(obj.f.CurrentAxes, X, Y, Z, 'Color', 'g', 'LineWidth', 2, 'LineStyle', '--');
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hold(obj.f.CurrentAxes, "off");
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else
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hold(f.Children(1).Children(ind(1)), "on");
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o = plot3(f.Children(1).Children(ind(1)), X, Y, Z, 'Color', 'g', 'LineWidth', 2, 'LineStyle', '--');
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hold(f.Children(1).Children(ind(1)), "off");
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hold(obj.f.Children(1).Children(obj.spatialPlotIndices(1)), "on");
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o = plot3(obj.f.Children(1).Children(obj.spatialPlotIndices(1)), X, Y, Z, 'Color', 'g', 'LineWidth', 2, 'LineStyle', '--');
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hold(obj.f.Children(1).Children(obj.spatialPlotIndices(1)), "off");
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end
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% Copy to other plots
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if size(ind, 2) > 1
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for ii = 2:size(ind, 2)
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o = [o, copyobj(o(:, 1), f.Children(1).Children(ind(ii)))];
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if size(obj.spatialPlotIndices, 2) > 1
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for ii = 2:size(obj.spatialPlotIndices, 2)
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o = [o, copyobj(o(:, 1), obj.f.Children(1).Children(obj.spatialPlotIndices(ii)))];
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end
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end
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@@ -1,29 +1,26 @@
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function [obj, f] = plotGraph(obj, ind, f)
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function obj = plotGraph(obj)
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arguments (Input)
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obj (1, 1) {mustBeA(obj, 'miSim')};
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ind (1, :) double = NaN;
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f (1, 1) {mustBeA(f, 'matlab.ui.Figure')} = figure;
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end
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arguments (Output)
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obj (1, 1) {mustBeA(obj, 'miSim')};
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f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
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end
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% Form graph from adjacency matrix
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G = graph(obj.adjacency, 'omitselfloops');
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% Plot graph object
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if isnan(ind)
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hold(f.CurrentAxes, 'on');
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o = plot(f.CurrentAxes, G, 'LineStyle', '--', 'EdgeColor', 'g', 'NodeColor', 'k', 'LineWidth', 2);
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hold(f.CurrentAxes, 'off');
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if isnan(obj.networkGraphIndex)
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hold(obj.f.CurrentAxes, 'on');
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o = plot(obj.f.CurrentAxes, G, 'LineStyle', '--', 'EdgeColor', 'g', 'NodeColor', 'k', 'LineWidth', 2);
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hold(obj.f.CurrentAxes, 'off');
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else
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hold(f.Children(1).Children(ind(1)), 'on');
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o = plot(f.Children(1).Children(ind(1)), G, 'LineStyle', '--', 'EdgeColor', 'g', 'NodeColor', 'k', 'LineWidth', 2);
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hold(f.Children(1).Children(ind(1)), 'off');
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if size(ind, 2) > 1
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hold(obj.f.Children(1).Children(obj.networkGraphIndex(1)), 'on');
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o = plot(obj.f.Children(1).Children(obj.networkGraphIndex(1)), G, 'LineStyle', '--', 'EdgeColor', 'g', 'NodeColor', 'k', 'LineWidth', 2);
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hold(obj.f.Children(1).Children(obj.networkGraphIndex(1)), 'off');
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if size(obj.networkGraphIndex, 2) > 1
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for ii = 2:size(ind, 2)
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o = [o; copyobj(o(1), f.Children(1).Children(ind(ii)))];
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o = [o; copyobj(o(1), obj.f.Children(1).Children(obj.networkGraphIndex(ii)))];
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end
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end
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end
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@@ -1,25 +1,22 @@
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function [obj, f] = plotPartitions(obj, ind, f)
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function obj = plotPartitions(obj)
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arguments (Input)
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obj (1, 1) {mustBeA(obj, 'miSim')};
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ind (1, :) double = NaN;
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f (1, 1) {mustBeA(f, 'matlab.ui.Figure')} = figure;
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end
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arguments (Output)
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obj (1, 1) {mustBeA(obj, 'miSim')};
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f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
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end
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if isnan(ind)
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hold(f.CurrentAxes, 'on');
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o = imagesc(f.CurrentAxes, obj.partitioning);
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hold(f.CurrentAxes, 'off');
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if isnan(obj.partitionGraphIndex)
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hold(obj.f.CurrentAxes, 'on');
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o = imagesc(obj.f.CurrentAxes, obj.partitioning);
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hold(obj.f.CurrentAxes, 'off');
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else
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hold(f.Children(1).Children(ind(1)), 'on');
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o = imagesc(f.Children(1).Children(ind(1)), obj.partitioning);
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hold(f.Children(1).Children(ind(1)), 'on');
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if size(ind, 2) > 1
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hold(obj.f.Children(1).Children(obj.partitionGraphIndex(1)), 'on');
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o = imagesc(obj.f.Children(1).Children(obj.partitionGraphIndex(1)), obj.partitioning);
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hold(obj.f.Children(1).Children(obj.partitionGraphIndex(1)), 'on');
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if size(obj.partitionGraphIndex, 2) > 1
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for ii = 2:size(ind, 2)
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o = [o, copyobj(o(1), f.Children(1).Children(ind(ii)))];
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o = [o, copyobj(o(1), obj.f.Children(1).Children(obj.partitionGraphIndex(ii)))];
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end
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end
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end
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13
@miSim/run.m
13
@miSim/run.m
@@ -1,16 +1,11 @@
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function [obj, f] = run(obj, f)
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function [obj] = run(obj)
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arguments (Input)
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obj (1, 1) {mustBeA(obj, 'miSim')};
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f (1, 1) {mustBeA(f, 'matlab.ui.Figure')} = figure;
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end
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arguments (Output)
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obj (1, 1) {mustBeA(obj, 'miSim')};
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f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
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end
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% Create axes if they don't already exist
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f = firstPlotSetup(f);
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% Set up times to iterate over
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times = linspace(0, obj.timestep * obj.maxIter, obj.maxIter+1)';
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partitioningTimes = times(obj.partitioningFreq:obj.partitioningFreq:size(times, 1));
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@@ -37,13 +32,13 @@ function [obj, f] = run(obj, f)
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end
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% Update adjacency matrix
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obj = obj.updateAdjacency;
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obj = obj.updateAdjacency();
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% Update plots
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[obj, f] = obj.updatePlots(f, updatePartitions);
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obj = obj.updatePlots(updatePartitions);
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% Write frame in to video
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I = getframe(f);
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I = getframe(obj.f);
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v.writeVideo(I);
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end
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@@ -1,12 +1,10 @@
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function [obj, f] = updatePlots(obj, f, updatePartitions)
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function [obj] = updatePlots(obj, updatePartitions)
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arguments (Input)
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obj (1, 1) {mustBeA(obj, 'miSim')};
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f (1, 1) {mustBeA(f, 'matlab.ui.Figure')} = figure;
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updatePartitions (1, 1) logical = false;
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end
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arguments (Output)
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obj (1, 1) {mustBeA(obj, 'miSim')};
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f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
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end
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% Update agent positions, collision geometries
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@@ -20,23 +18,23 @@ function [obj, f] = updatePlots(obj, f, updatePartitions)
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% Update agent connections plot
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delete(obj.connectionsPlot);
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[obj, f] = obj.plotConnections(obj.spatialPlotIndices, f);
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obj = obj.plotConnections();
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% Update network graph plot
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delete(obj.graphPlot);
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[obj, f] = obj.plotGraph(obj.networkGraphIndex, f);
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obj = obj.plotGraph();
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% Update partitioning plot
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if updatePartitions
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delete(obj.partitionPlot);
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[obj, f] = obj.plotPartitions(obj.partitionGraphIndex, f);
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obj = obj.plotPartitions();
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end
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% reset plot limits to fit domain
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for ii = 1:size(obj.spatialPlotIndices, 2)
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xlim(f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(1), obj.domain.maxCorner(1)]);
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ylim(f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(2), obj.domain.maxCorner(2)]);
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zlim(f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(3), obj.domain.maxCorner(3)]);
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xlim(obj.f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(1), obj.domain.maxCorner(1)]);
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ylim(obj.f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(2), obj.domain.maxCorner(2)]);
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zlim(obj.f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(3), obj.domain.maxCorner(3)]);
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end
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drawnow;
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