國立高雄大學圖資館 |

Language: English

Back

Proceedings of the 16th International Conference on Modelling, Identification and Control (ICMIC2024)

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of the 16th International Conference on Modelling, Identification and Control (ICMIC2024)edited by Qiang Chen ... [et al.].
remainder title:	ICMIC2024
other author:	Chen, Qiang.
corporate name:
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xi, 672 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Simulation methodsCongresses.
Online resource:	https://doi.org/10.1007/978-981-96-1777-7
ISBN:	9789819617777$q(electronic bk.)

Proceedings of the 16th International Conference on Modelling, Identification and Control (ICMIC2024)
Proceedings of the 16th International Conference on Modelling, Identification and Control (ICMIC2024)[electronic resource] /ICMIC2024edited by Qiang Chen ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xi, 672 p. :ill. (some col.), digital ;24 cm. - Lecture notes in electrical engineering,13151876-1119 ;. - Lecture notes in electrical engineering ;v.132..

System Identification -- Data-driven Modeling and Control -- Adaptive Control -- Linear/Nonlinear Control Systems -- Predictive Control -- Optimization and Optimal Control -- Process Modeling and Process Control -- Cooperative Control Systems -- Networked Control Systems -- Intelligent Systems -- Soft Computing Techniques -- Signal Processing and Information Fusion -- Fault Diagnosis and Reliable Control -- Vibration Analysis -- Noise Measuring and Control -- Condition Monitoring -- Structural Dynamics -- Pattern Recognition -- Machine Learning and Artificial Intelligence.

This book includes original, peer-reviewed research papers from the 16th International Conference on Modelling, Identification and Control (ICMIC2024), held in Datong, Shanxi, China on Aug.9-11, 2024. The topics covered include but are not limited to: System Identification, Linear/Nonlinear Control Systems, Data-driven Modelling and Control, Process Modelling and Process Control, Fault Diagnosis and Reliable Control, Intelligent Systems, and Machine Learning and Artificial Intelligence. The papers showcased here share the latest findings on methodologies, algorithms and applications in modelling, identification, and control, integrated with Artificial Intelligence (AI), making the book an asset for researchers, engineers, and university students alike.

ISBN: 9789819617777$q(electronic bk.)

Standard No.: 10.1007/978-981-96-1777-7doiSubjects--Topical Terms:

567257
Simulation methods
--Congresses.

LC Class. No.: T57.62

Dewey Class. No.: 003.3

Proceedings of the 16th International Conference on Modelling, Identification and Control (ICMIC2024)
LDR:02533nmm a2200361 a 4500 001 680267
003 DE-He213
005 20250302115227.0
006 m d
007 cr nn 008maaau
008 251110s2025 si s 0 eng d
020 $a 9789819617777$q(electronic bk.)
020 $a 9789819617760$q(paper)
024 7 $a 10.1007/978-981-96-1777-7 $2 doi
035 $a 978-981-96-1777-7
040 $a GP $c GP
041 0 $a eng
050 4 $a T57.62
072 7 $a TJFM $2 bicssc
072 7 $a GPFC $2 bicssc
072 7 $a TEC007000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 003.3 $2 23
090 $a T57.62 $b .I61 2024
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Proceedings of the 16th International Conference on Modelling, Identification and Control (ICMIC2024) $h [electronic resource] / $c edited by Qiang Chen ... [et al.].
246 3 $a ICMIC2024
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xi, 672 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in electrical engineering, $x 1876-1119 ; $v 1315
505 0 $a System Identification -- Data-driven Modeling and Control -- Adaptive Control -- Linear/Nonlinear Control Systems -- Predictive Control -- Optimization and Optimal Control -- Process Modeling and Process Control -- Cooperative Control Systems -- Networked Control Systems -- Intelligent Systems -- Soft Computing Techniques -- Signal Processing and Information Fusion -- Fault Diagnosis and Reliable Control -- Vibration Analysis -- Noise Measuring and Control -- Condition Monitoring -- Structural Dynamics -- Pattern Recognition -- Machine Learning and Artificial Intelligence.
520 $a This book includes original, peer-reviewed research papers from the 16th International Conference on Modelling, Identification and Control (ICMIC2024), held in Datong, Shanxi, China on Aug.9-11, 2024. The topics covered include but are not limited to: System Identification, Linear/Nonlinear Control Systems, Data-driven Modelling and Control, Process Modelling and Process Control, Fault Diagnosis and Reliable Control, Intelligent Systems, and Machine Learning and Artificial Intelligence. The papers showcased here share the latest findings on methodologies, algorithms and applications in modelling, identification, and control, integrated with Artificial Intelligence (AI), making the book an asset for researchers, engineers, and university students alike.
650 0 $a Simulation methods $v Congresses. $3 567257
650 0 $a Automatic control $v Congresses. $3 387184
650 0 $a Identification $x Data processing $v Congresses. $3 443186
650 1 4 $a Control and Systems Theory. $3 825946
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Control, Robotics, Automation. $3 914981
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Complex Systems. $3 558544
650 2 4 $a Electrical Power Engineering. $3 919410
700 1 $a Chen, Qiang. $3 839495
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in electrical engineering ; $v v.132. $3 545003
856 4 0 $u https://doi.org/10.1007/978-981-96-1777-7
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)