Problem finding maximum of a nonlinear problem

I have the following problem.

Minimize subject to and

I am trying to use fmincon to find this point.

My attempt as solutuion is as follows:

close all
clear
clc

fun = @(x) x(1)+x(2)+x(3); %minimize

lb = [];
ub=[];
x0 = [1 1 1];
A = [];
b=[];

Aeq=[];
beq=[];

x = fmincon(fun,x0,A,b, Aeq, beq, lb, ub, @constraints)

Local minimum found that satisfies the constraints.

Optimization completed because the objective function is non-decreasing in 
feasible directions, to within the value of the optimality tolerance,
and constraints are satisfied to within the value of the constraint tolerance.

x = 1×3

-1.4142 0.2929 -0.7071

function [c,ceq] = constraints(x)
    c=[0 0];
    c(1) = (x(2)-1).^2+x(3).^2-1; % <=0
    c(2) = x(1).^2+(x(2)-1).^2+x(3).^2-3;
    ceq = [];
end

Unfortunately, this does not work, since I get as a result

x =

1.0e+52 *

-8.2469 -0.0000 -0.0000

I know that the solution should be but I cannot see what I am doing wrong. Can someone please help me?

Best regards.

[Torsten]

I changed your code above appropriately.

[Jaime De La Mota Sanchis]

@Torsten So, are you telling me that all the problem is that I had a typho on the statement of my problem? Anyway, thanks for the help.

[Torsten]

Yes, x^3 produces negative values if x is negative. This makes your problem unbounded.