Revisiting Classical Controller Design and Tuning with Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7778

@Article{garcia:2023:Sensors,

• author = "Carlos A. Garcia and Manel Velasco and Cecilio Angulo and Pau Marti and Antonio Camacho",
• title = "Revisiting Classical Controller Design and Tuning with Genetic Programming",
• journal = "Sensors",
• year = "2023",
• volume = "23",
• number = "24",
• pages = "Article No. 9731",
• keywords = "genetic algorithms, genetic programming",
• ISSN = "1424-8220",
• URL = "https://www.mdpi.com/1424-8220/23/24/9731",
• DOI = "doi:10.3390/s23249731",
• abstract = "This paper introduces the application of a genetic programming (GP)-based method for the automated design and tuning of process controllers, representing a noteworthy advancement in artificial intelligence (AI) within the realm of control engineering. In contrast to already existing work, our GP-based approach operates exclusively in the time domain, incorporating differential operations such as derivatives and integrals without necessitating intermediate inverse Laplace transformations. This unique feature not only simplifies the design process but also ensures the practical implementability of the generated controllers within physical systems. Notably, the GP's functional set extends beyond basic arithmetic operators to include a rich repertoire of mathematical operations, encompassing trigonometric, exponential, and logarithmic functions. This broad set of operations enhances the flexibility and adaptability of the GP-based approach in controller design. To rigorously assess the efficacy of our GP-based approach, we conducted an extensive series of tests to determine its limits and capabilities. In summary, our research establishes the GP-based approach as a promising solution for automating the controller design process, offering a transformative tool to address a spectrum of control problems across various engineering applications.",
• notes = "also known as \cite{s23249731}",

}

Genetic Programming entries for Carlos A Garcia Manel Velasco Garcia Cecilio Angulo Pau Marti Antonio Camacho Gonzalez

Citations