« Previous « Start » Next »
28 Curve Area Maximization
On smooth optimal control determination, Ilya Ioslovich and Per-Olof Gutman, Technion, Israel Institute of Technology.
Example 3: Maximal area under a curve of given length
28.1 Problem Description
Find u over t in [0; 1 ] to minimize:
subject to:
Reference: [17]
28.2 Problem setup
toms t
p = tomPhase('p', t, 0, 1, 20);
setPhase(p);
tomStates x1 x2
tomControls u
x0 = {icollocate({x1 == 1, x2 == t*pi/3})};
% Boundary constraints
cbnd = {initial({x1 == 0; x2 == 0})
final({x1 == 0; x2 == pi/3})};
% ODEs and path constraints
ceq = collocate({dot(x1) == u
dot(x2) == sqrt(1+u.^2)});
% Objective
objective = -integrate(x1);
28.3 Solve the problem
options = struct;
options.name = 'Curve Area Maximization';
solution = ezsolve(objective, {cbnd, ceq}, x0, options);
Problem type appears to be: lpcon
Starting numeric solver
===== * * * =================================================================== * * *
TOMLAB - Tomlab Optimization Inc. Development license 999001. Valid to 2010-02-05
=====================================================================================
Problem: --- 1: Curve Area Maximization f_k -0.090586074415901760
sum(|constr|) 0.000000015585645031
f(x_k) + sum(|constr|) -0.090586058830256735
f(x_0) -0.999999999999997560
Solver: snopt. EXIT=0. INFORM=1.
SNOPT 7.2-5 NLP code
Optimality conditions satisfied
FuncEv 1 ConstrEv 80 ConJacEv 80 Iter 49 MinorIter 89
CPU time: 0.109375 sec. Elapsed time: 0.109000 sec.
28.4 Plot result
t = subs(collocate(t),solution);
x1 = subs(collocate(x1),solution);
figure(1);
plot(t,x1,'*-');
xlabel('t')
ylabel('x1')
« Previous « Start » Next »
TOMLAB
