Can you simulate the following article?(Only the first formula: malaria epidemic dynamics) article name: Control of malaria outbreak using a nonlinear robust strategy with adaptive gains
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Can you simulate the following article?(Only the first formula: malaria epidemic dynamics)
article name: Control of malaria outbreak using a nonlinear robust strategy with adaptive gains

3 Kommentare
Walter Roberson
am 30 Dez. 2020
Some things like
still look to be missing, and it has not been clarified whether the derivative is with respect to t or not.
Knowing the exact values of the constants such as
is not important to answer the question asked, which was whether I could simulate that formula. I offerered an extra answer as well, namely that you could simulate the system using ode45() . I recommend you read the documentation on that.
Antworten (1)
Walter Roberson
am 1 Jan. 2021
P.R_h = rand; %unknown value, unknown unit
P.t = randn() * 10; %unknown value, unknown unit
P.lambda_h = 0.2; %per day
P.kappa = 0.7902; %per day
P.Beta_m = 0.8333; %probability
P.u_h = 0.00004; %per day
tspan = [0 10];
Sh0 = rand; %unknown initial condition
[x, Sh] = ode45(@(x,Sh)Sh_fun(x,Sh,P), tspan, Sh0 );
plot(x, Sh);
function dS_h = Sh_fun(x, S_h, P)
dS_h = P.lambda_h + P.kappa .* P.R_h - (1-u_1(P.t)).*P.Beta_m .* S_h - P.u_h .* S_h;
end
function u1t = u_1(t)
u1t = sin(t*7*pi).^2 - exp(-t); %function u_1 is not defined so make something up
end
Notice that the t being passed to u_1 has nothing to do with the integration: it is just some parameter whose value you did not specify. t is not the variable of integration of S_h -- if it were then there would have had to have been a
in the definition of 
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