Bio-Inspired Algorithms in PID Controller Optimization - Info and Reading Options
By Jagatheesan Kallannan, Anand Baskaran, Nilanjan Dey and Amira S. Ashour
"Bio-Inspired Algorithms in PID Controller Optimization" was published by Taylor & Francis Group in 2018 - Boca Raton, FL, it has 1 pages and the language of the book is English.
“Bio-Inspired Algorithms in PID Controller Optimization” Metadata:
- Title: ➤ Bio-Inspired Algorithms in PID Controller Optimization
- Authors: Jagatheesan KallannanAnand BaskaranNilanjan DeyAmira S. Ashour
- Language: English
- Number of Pages: 1
- Publisher: Taylor & Francis Group
- Publish Date: 2018
- Publish Location: Boca Raton, FL
“Bio-Inspired Algorithms in PID Controller Optimization” Subjects and Themes:
- Subjects: ➤ Interconnected electric utility systems - Automation - Electric power systems - Load dispatching - Mathematics - Mathematical optimization - Nature-inspired algorithms - Cogeneration of electric power and heat - PID controllers - Réseaux électriques d'interconnexion - Automatisation - Réseaux électriques (Énergie) - Répartition des charges - Mathématiques - Optimisation mathématique - Algorithmes inspirés par la nature - Cogénération de chaleur et d'électricité - Régulateurs PID - Cogeneration plants - TECHNOLOGY & ENGINEERING / Mechanical
Edition Specifications:
- Weight: 0.327
- Pagination: 76
Edition Identifiers:
- The Open Library ID: OL34634514M - OL25220314W
- ISBN-13: 9781138598164 - 9780429943362
- All ISBNs: 9781138598164 - 9780429943362
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"Bio-Inspired Algorithms in PID Controller Optimization" Description:
Open Data:
chapter 1 ◾ Introduction -- chapter 2 ◾ Load Frequency Control of Single Area Thermal Power System with Biogeography-Based Optimization Technique -- chapter 3 ◾ Automatic Generation Control with Superconducting Magnetic Energy Storage Unit and Ant Colony Optimization-PID Controller in Multiarea Interconnected Thermal Power System -- chapter 4 ◾ Flower Pollination Algorithm Optimized PID Controller for Performance Improvement of Multiarea Interconnected Thermal Power System with Nonlinearities -- chapter 5 ◾ Challenges and Future Perspectives
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