# Singular Control 4

ITERATIVE DYNAMIC PROGRAMMING, REIN LUUS

10.2.3 Example 4

CHAPMAN & HALL/CRC Monographs and Surveys in Pure and Applied Mathematics

## Problem Formulation

Find u over t in [0; 5 ] to minimize subject to:    The initial condition are:  % Copyright (c) 2007-2008 by Tomlab Optimization Inc.


## Problem setup

toms t
p = tomPhase('p', t, 0, 5, 100);
setPhase(p)

tomStates x1 x2 x3 x4
tomControls u

% Initial guess
x0 = {icollocate({x1 == 1; x2 == 0
x3 == 0; x4 == 0})
collocate(u == 0)};

% Box constraints
cbox = {-1 <= collocate(u) <= 1};

% Boundary constraints
cbnd = initial({x1 == 1; x2 == 0
x3 == 0; x4 == 0});

% ODEs and path constraints
ceq = collocate({dot(x1) == x2; dot(x2) == x3
dot(x3) == u; dot(x4) == x1.^2});

% Objective
objective = final(x4);


## Solve the problem

options = struct;
options.name = 'Singular Control 4';
solution = ezsolve(objective, {cbox, cbnd, ceq}, x0, options);
t = subs(collocate(t),solution);
u = subs(collocate(u),solution);

Problem type appears to be: lpcon
===== * * * =================================================================== * * *
TOMLAB - Tomlab Optimization Inc. Development license  999001. Valid to 2010-02-05
=====================================================================================
Problem: ---  1: Singular Control 4             f_k       1.252389645383048800
sum(|constr|)      0.000000063930978757
f(x_k) + sum(|constr|)      1.252389709314027500
f(x_0)      0.000000000000000000

Solver: snopt.  EXIT=0.  INFORM=1.
SNOPT 7.2-5 NLP code
Optimality conditions satisfied

FuncEv    1 ConstrEv   92 ConJacEv   92 Iter   89 MinorIter  772
CPU time: 5.125000 sec. Elapsed time: 5.235000 sec.


## Plot result

figure(1)
plot(t,u,'+-');
legend('u');
title('Singular Control 4 control'); 