Code covered by the BSD License

Download apps, toolboxes, and other File Exchange content using Add-On Explorer in MATLAB.

### Highlights from Optimal Control Using Control Vector Parameterization

5.0
5.0 | 1 rating Rate this file 26 Downloads (last 30 days) File Size: 108 KB File ID: #39516 Version: 1.0

# Optimal Control Using Control Vector Parameterization

### Chang Duan (view profile)

An example of using control vector parameterization to solve an optimal control problem

File Information
Description

File to run: mainproc.m

Control vector parameterization, also known as direct sequential method,
is one of the direct optimization methods for solving optimal control problems. The basic idea of direct optimization methods is to discretize the control problem, and then apply nonlinear programming (NLP) techniques to the resulting finite-dimensional optimization problem.

The problem is that you wish to steer from point $A=(0,0)$ at time $t = 0$ to close to point $B=(4,4)$ at time T. The motion takes place in the $x_1, x_2$ plane. Your control variables are thrust $u$ and angle of thrust $\theta$. The angle $\theta$ is measured from the $x_1$ axis. To make life interesting there is large mass at (3,0) that exerts a force proportional to the inverse of the square of the distance you are from the mass. (See published code for details)

* The problem is from a Optimal Control course (by Dr. Stephen Campbell) at NCSU.

Required Products Optimization Toolbox
MATLAB
MATLAB release MATLAB 7.12 (R2011a)
Other requirements Need Global Optimization Toolbox to run main_multistart.m
Tags for This File   Please login to tag files.