Detail publikace

# HEURISTIC APPROACHES TO STOCHASTIC QUADRATIC ASSIGNMENT PROBLEM: VAR AND CVAR CASES

Originální název

HEURISTIC APPROACHES TO STOCHASTIC QUADRATIC ASSIGNMENT PROBLEM: VAR AND CVAR CASES

Anglický název

HEURISTIC APPROACHES TO STOCHASTIC QUADRATIC ASSIGNMENT PROBLEM: VAR AND CVAR CASES

Jazyk

en

Originální abstrakt

One of the crucial problems in the dynamics and automatic control theory is balancing of an inverted pendulum robot by moving a cart along a horizontal path. This task is often used as a benchmark for di erent method comparison. In the practical use of the LQR method, the key problem is how to choose weight matrices Q and R correctly. To obtain satisfying results the experiments should be repeated many times with di erent parameters of weight matrices. These LQR parameters can be tuned by a Genetic Algorithm (GA) technique for getting better results.

Anglický abstrakt

One of the crucial problems in the dynamics and automatic control theory is balancing of an inverted pendulum robot by moving a cart along a horizontal path. This task is often used as a benchmark for di erent method comparison. In the practical use of the LQR method, the key problem is how to choose weight matrices Q and R correctly. To obtain satisfying results the experiments should be repeated many times with di erent parameters of weight matrices. These LQR parameters can be tuned by a Genetic Algorithm (GA) technique for getting better results.

BibTex

``````
@article{BUT147367,
author="Radomil {Matoušek} and Pavel {Popela} and Jakub {Kůdela}",
title="HEURISTIC APPROACHES TO STOCHASTIC QUADRATIC ASSIGNMENT PROBLEM: VAR AND CVAR CASES",
annote="One of the crucial problems in the dynamics and automatic control theory is balancing of an inverted
pendulum robot by moving a cart along a horizontal path. This task is often used as a benchmark for dierent
method comparison. In the practical use of the LQR method, the key problem is how to choose weight matrices
Q and R correctly. To obtain satisfying results the experiments should be repeated many times with dierent
parameters of weight matrices. These LQR parameters can be tuned by a Genetic Algorithm (GA) technique
for getting better results.",