DiffEq result for a dynamical system differs from wolframalpha

I want to solve this differential equation:

(d^2 y(t))/(dt^2) = -0.1×(dy(t))/(dt) + 0.5 y(t) - 2 y(t)^3 + 2 cos(2.4 t)

How I tried to solve it using DiffEq:

using DifferentialEquations
using Plots

function duffing!(du,u,p,t)
    du[1]=u[2]
    du[2]=-p[1]*u[2] + 2*p[2] * u[1] - 4*p[3]*(u[1])^3 + p[4] * cos(p[5]*t)
end

function Duffing(x0,xx0,F0,ω,γ,max_k=5000,m=1,a=0.25,b=0.5)
    u0=[x0,xx0]
    tspan=(0.0,max_k*2*pi/ω)
    p=[γ,a,b,F0,ω]
    prob=ODEProblem(duffing!,u0,tspan,p)
    return solve(prob,DPRKN6(),saveat=pi/ω)
end

function plotter(x0,xx0,F0,ω,γ,max_k)
    closeall()
    sol=Duffing(x0,xx0,F0,ω,γ,max_k)
    x_arr=[];xx_arr=[];
    period=2*pi/ω
    for k=0:max_k
        pair=sol(k*period)
        x_arr=push!(x_arr,pair[1])
        xx_arr=push!(xx_arr,pair[2])
    end
    scatter(x_arr,xx_arr,markersize=0.8,label="")
    #savefig("img.png")
end



However, what I get looks like a big clump rather than what wolframalpha gives out. It doesn’t look like my system is chaotic but rather goes towards a fixed point.

EDIT:What the Book says I should get for the same conditions as the figure above

We have an example of the stroboscopic map of the duffing system in the DynamicalSystems.jl documentation, and it shows the chaotic attractor without a problem: Orbit Diagrams & PSOS · DynamicalSystems.jl

And the way we define the dynamical rule is as follows:

https://github.com/JuliaDynamics/DynamicalSystemsBase.jl/blob/master/src/continuous_famous_systems.jl#L380

(trajectory is just a wrapper around solve that explicitly gives saveat)

my equations are slightly different than yours, because I use the out of place form (recommended for small systems). I also use slightly different parameters, but that shouldn’t matter. Perhaps check your code for typos? Also, does DPRKN6() allow interpolation? (since the syntaxx sol(some_time) interpolates)

Yes

It appears the problem is solved if I change the constants. Perhaps the book is wrong (Thijssen Comp. Phys.).