Intelligent control: a taxonomy

Callum Wilson; Francesco Marchetti; Marilena Di Carlo; Annalisa Riccardi; Edmondo Minisci

doi:10.1109/ICSC47195.2019.8950603

Intelligent control: a taxonomy

Callum Wilson, Francesco Marchetti, Marilena Di Carlo, Annalisa Riccardi, Edmondo Minisci

Mechanical And Aerospace Engineering

Research output: Contribution to conference › Proceeding › peer-review

3 Citations (Scopus)

137 Downloads (Pure)

Abstract

In this paper we highlight the stages of development towards intelligent control and define it based on literature. Furthermore, we propose a novel taxonomy of intelligent control methods which categorises these based on their level of uncertainty in three areas: the environment, the control system, and the goals. These areas are consistent with the key elements of intelligent control present in existing definitions. Using this taxonomy, we present some example intelligent control methods and their classifications to illustrate the applicability of the taxonomy.

Original language	English
Pages	333-339
Number of pages	7
DOIs	https://doi.org/10.1109/ICSC47195.2019.8950603
Publication status	Published - 9 Jan 2020
Event	8th International Conference on Systems and Control - Faculty of sciences Semlalia, Cadi Ayyad University, Marrakesh, Morocco Duration: 23 Oct 2019 → 25 Oct 2019 Conference number: 8 http://lias.labo.univ-poitiers.fr/icsc/icsc2019/

Conference

Conference	8th International Conference on Systems and Control
Abbreviated title	ICSC 2019
Country/Territory	Morocco
City	Marrakesh
Period	23/10/19 → 25/10/19
Internet address	http://lias.labo.univ-poitiers.fr/icsc/icsc2019/

Keywords

intelligent control
taxonomy
artificial intelligence

Access to Document

10.1109/ICSC47195.2019.8950603

Wilson-etal-ICSC-2019-Intelligent-control-a-taxonomyAccepted author manuscript, 565 KB

Cite this

@conference{cddc555ad1e6405cbe5ba55b24d19334,

title = "Intelligent control: a taxonomy",

abstract = "In this paper we highlight the stages of development towards intelligent control and define it based on literature. Furthermore, we propose a novel taxonomy of intelligent control methods which categorises these based on their level of uncertainty in three areas: the environment, the control system, and the goals. These areas are consistent with the key elements of intelligent control present in existing definitions. Using this taxonomy, we present some example intelligent control methods and their classifications to illustrate the applicability of the taxonomy.",

keywords = "intelligent control, taxonomy, artificial intelligence",

author = "Callum Wilson and Francesco Marchetti and {Di Carlo}, Marilena and Annalisa Riccardi and Edmondo Minisci",

note = "{\textcopyright} 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; 8th International Conference on Systems and Control, ICSC 2019 ; Conference date: 23-10-2019 Through 25-10-2019",

year = "2020",

month = jan,

day = "9",

doi = "10.1109/ICSC47195.2019.8950603",

language = "English",

pages = "333--339",

url = "http://lias.labo.univ-poitiers.fr/icsc/icsc2019/",

}

TY - CONF

T1 - Intelligent control

T2 - 8th International Conference on Systems and Control

AU - Wilson, Callum

AU - Marchetti, Francesco

AU - Di Carlo, Marilena

AU - Riccardi, Annalisa

AU - Minisci, Edmondo

N1 - Conference code: 8

PY - 2020/1/9

Y1 - 2020/1/9

N2 - In this paper we highlight the stages of development towards intelligent control and define it based on literature. Furthermore, we propose a novel taxonomy of intelligent control methods which categorises these based on their level of uncertainty in three areas: the environment, the control system, and the goals. These areas are consistent with the key elements of intelligent control present in existing definitions. Using this taxonomy, we present some example intelligent control methods and their classifications to illustrate the applicability of the taxonomy.

AB - In this paper we highlight the stages of development towards intelligent control and define it based on literature. Furthermore, we propose a novel taxonomy of intelligent control methods which categorises these based on their level of uncertainty in three areas: the environment, the control system, and the goals. These areas are consistent with the key elements of intelligent control present in existing definitions. Using this taxonomy, we present some example intelligent control methods and their classifications to illustrate the applicability of the taxonomy.

KW - intelligent control

KW - taxonomy

KW - artificial intelligence

UR - http://ieeecss.org/event/8th-international-conference-systems-and-control

U2 - 10.1109/ICSC47195.2019.8950603

DO - 10.1109/ICSC47195.2019.8950603

M3 - Proceeding

SP - 333

EP - 339

Y2 - 23 October 2019 through 25 October 2019

ER -

Intelligent control: a taxonomy

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

8th International Conference on Systems and Control