To create a reproducible time series with specific constraints on the gradient between consecutive values, you can generate the series iteratively. You need to ensure that each new value falls within the specified gradient range relative to the previous value. Here's how you can modify your code to achieve this:
% Clear workspace
clear all;
% Define parameters
val.n = 2000; % Number of values
val.min = 0; % Minimum value
val.max = 100; % Maximum value
grad.min = -5; % Minimum gradient between consecutive values
grad.max = 5; % Maximum gradient between consecutive values
% Set random seed for reproducibility
rng(0, 'twister');
% Initialize the time series array
r = zeros(val.n, 1);
% Start with a random initial value within the specified range
r(1) = (val.max - val.min) * rand() + val.min;
% Generate the time series
for i = 2:val.n
% Calculate potential next value with the gradient constraints
next_min = max(val.min, r(i-1) + grad.min);
next_max = min(val.max, r(i-1) + grad.max);
% Ensure the next value is within the specified min and max limits
r(i) = (next_max - next_min) * rand() + next_min;
end
% Display the first few values of the time series
disp(r(1:10));
