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PROPT

PROPT is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand PROPT rather than just read about it. In short: The PROPT MATLAB Optimal Control Software is a new generation platform for solving applied optimal control (with ODE or DAE formulation) and parameters estimation problems. The platform was developed by MATLAB Programming Contest Winner, Per Rutquist in 2008.

Key takeaways

  • PROPT belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect PROPT to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of PROPT from memory before moving on to harder problems.

Reference excerpt

The PROPT MATLAB Optimal Control Software is a new generation platform for solving applied optimal control (with ODE or DAE formulation) and parameters estimation problems. The platform was developed by MATLAB Programming Contest Winner, Per Rutquist in 2008. The most recent version has support for binary and integer variables as well as an automated scaling module.

Description PROPT is a combined modeling, compilation and solver engine, built upon the TomSym modeling class, for generation of highly complex optimal control problems. PROPT uses a pseudospectral Collocation method (with Gauss or Chebyshev points) for solving optimal control problems. This means that the solution takes the form of a Polynomial, and this polynomial satisfies the DAE and the path constraints at the collocation points. In general PROPT has the following main functions:

Computation of the constant matrices used for the differentiation and integration of the polynomials used to approximate the solution to the Trajectory optimization problem. Source transformation to turn user-supplied expressions into MATLAB code for the cost function f {\displaystyle f} and constraint function c {\displaystyle c} that are passed to a Nonlinear programming solver in TOMLAB. The source transformation package TomSym automatically generates first and second order derivatives. Functionality for plotting and computing a variety of information for the solution to the problem. Automatic detection of the following: Linear and quadratic objective. Simple bounds, linear and nonlinear constraints. Non-optimized expressions. Integrated support for non-smooth (hybrid) optimal control problems. Module for automatic scaling of difficult space related problem. Support for binary and integer variables, controls or states.

Modeling The PROPT system uses the TomSym symbolic source transformation engine to model optimal control problems. It is possible to define independent variables, dependent functions, scalars and constant parameters:

States and controls States and controls only differ in the sense that states need be continuous between phases.

Boundary, path, event and integral constraints A variety of boundary, path, event and integral constraints are shown below:

Single-phase optimal control example Van der Pol Oscillator Minimize:

J x , t = x 3 ( t f ) {\displaystyle {\begin{matrix}J_{x,t}&=&x_{3}(t_{f})\\\end{matrix}}}

Subject to:

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with PROPT

Start with the simplest possible case. Write down what PROPT claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to PROPT before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about PROPT ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of PROPT

In research
PROPT appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses PROPT in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
PROPT is common in secondary-school and first-year university syllabi. It links to neighbouring topics Mathematical optimization software, Numerical software, Optimal control, so understanding it makes those chapters shorter.
In everyday life
Look for PROPT outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study PROPT in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what PROPT means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain PROPT out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is PROPT in simple terms?

The PROPT MATLAB Optimal Control Software is a new generation platform for solving applied optimal control (with ODE or DAE formulation) and parameters estimation problems. The platform was developed by MATLAB Programming Contest Winner, Per Rutquist in 2008.

Why does PROPT matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study PROPT?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on PROPT.

Tags

  • Mathematical optimization software
  • Numerical software
  • Optimal control

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