implemented basic gradient ascent
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25
agent.m
25
agent.m
@@ -6,6 +6,7 @@ classdef agent
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% Sensor
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sensingFunction = @(r) 0.5; % probability of detection as a function of range
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sensingLength = 0.05; % length parameter used by sensing function
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% State
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pos = NaN(1, 3);
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@@ -20,14 +21,15 @@ classdef agent
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end
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methods (Access = public)
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function obj = initialize(obj, pos, vel, cBfromC, collisionGeometry, sensingFunction, comRange, index, label)
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function obj = initialize(obj, pos, vel, cBfromC, collisionGeometry, sensingFunction, sensingLength, comRange, index, label)
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arguments (Input)
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obj (1, 1) {mustBeA(obj, 'agent')};
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pos (1, 3) double;
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vel (1, 3) double;
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cBfromC (3, 3) double {mustBeDcm};
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collisionGeometry (1, 1) {mustBeGeometry};
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sensingFunction (1, 1) {mustBeA(sensingFunction, 'function_handle')}
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sensingFunction (1, 1) {mustBeA(sensingFunction, 'function_handle')} = @(r) 0.5;
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sensingLength (1, 1) double = NaN;
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comRange (1, 1) double = NaN;
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index (1, 1) double = NaN;
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label (1, 1) string = "";
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@@ -40,10 +42,29 @@ classdef agent
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obj.vel = vel;
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obj.cBfromC = cBfromC;
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obj.collisionGeometry = collisionGeometry;
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obj.sensingFunction = sensingFunction;
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obj.sensingLength = sensingLength;
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obj.comRange = comRange;
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obj.index = index;
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obj.label = label;
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end
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function obj = run(obj, objectiveFunction)
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arguments (Input)
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obj (1, 1) {mustBeA(obj, 'agent')};
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objectiveFunction (1, 1) {mustBeA(objectiveFunction, 'function_handle')};
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end
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arguments (Output)
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obj (1, 1) {mustBeA(obj, 'agent')};
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end
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% Do sensing to determine target position
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nextPos = obj.sensingFunction(objectiveFunction, obj.pos, obj.sensingLength);
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% Move to next position
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% (dynamics not modeled at this time)
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obj.pos = nextPos;
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end
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function f = plot(obj, f)
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arguments (Input)
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obj (1, 1) {mustBeA(obj, 'agent')};
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