Singular Control 4
ITERATIVE DYNAMIC PROGRAMMING, REIN LUUS
10.2.3 Example 4
CHAPMAN & HALL/CRC Monographs and Surveys in Pure and Applied Mathematics
Contents
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');