Optimization of Pid controllers using machine learning techniques (Record no. 23195)
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| fixed length control field | a |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250730114419.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250730b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 26884 |
| Author | Mehta, Priya |
| 245 ## - TITLE STATEMENT | |
| Title | Optimization of Pid controllers using machine learning techniques |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol.9(2), Jul-Dec |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Ghaziabad |
| Name of publisher, distributor, etc. | Mantech Publications |
| Year | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pagination | 70-78p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | PID (Proportional-Integral-Derivative) controllers are widely used in industrial control systems, but tuning these controllers can be a complex and time-consuming process. This paper investigates the application of machine learning techniques to optimize PID controller parameters for various industrial processes. The proposed methods include genetic algorithms, neural networks, and reinforcement learning, which aim to automate the tuning process and improve controller performance. Case studies in process control and robotics demonstrate the effectiveness of these machine learning-driven optimizations. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 22401 |
| Topical term or geographic name entry element | Artificial Intelligence & Machine Learning |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 26886 |
| Co-Author | Gupta, Suresh |
| 773 0# - HOST ITEM ENTRY | |
| Title | Journal of artificial intelligence, machine learning and soft computing |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| URL | https://admin.mantechpublications.com/index.php/JoAIMLSC/issue/view/7643 |
| Link text | Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Articles Abstract Database |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | School of Engineering & Technology | School of Engineering & Technology | Archieval Section | 30/07/2025 | 2025-1202 | 30/07/2025 | 30/07/2025 | Articles Abstract Database |