Automatic Generation of Nonlinear Optimal Control Laws for Broom Balancing using Evolutionary Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{chellapilla:1998:agnoclbbEP,

• author = "Kumar Chellapilla",
• title = "Automatic Generation of Nonlinear Optimal Control Laws for Broom Balancing using Evolutionary Programming",
• booktitle = "Proceedings of the 1998 IEEE World Congress on Computational Intelligence",
• year = "1998",
• pages = "195--200",
• address = "Anchorage, Alaska, USA",
• month = "5-9 " # may,
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming, 3D broom balancing problem, automatic nonlinear optimal control law generation, bang-bang force direction, bang-bang type control laws, broom balancing, evolutionary computation methods, evolutionary programming, inverted pendulum problem, mutation operators, state variables, time optimal nonlinear control strategy, unseen input states, bang-bang control, nonlinear control systems, optimal control, optimisation",
• ISBN = "0-7803-4869-9",
• file = "c034.pdf",
• DOI = "doi:10.1109/ICEC.1998.699500",
• size = "6 pages",
• abstract = "This paper explores the use of mutation operators with evolutionary programming (EP) to automatically generate time optimal 'bang-bang' type control laws for the three dimensional broom balancing (inverted pendulum) problem. EP produces a time optimal nonlinear control strategy that takes the state variables as input and determines the direction of the 'bang-bang' force to be applied. Preliminary results indicate that the control laws generated are capable of generalising over previously unseen input states and compare well with nonlinear control laws that were generated using other evolutionary computation methods.",
• notes = "ICEC-98 Held In Conjunction With WCCI-98 --- 1998 IEEE World Congress on Computational Intelligence. Comparison with \cite{koza:book} results. Also known as \cite{699500}",

}

Genetic Programming entries for Kumar Chellapilla

Citations