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{ "item_title" : "Swarm Intelligence to Robust Control Design", "item_author" : [" Hazem I. Ali "], "item_description" : "The ultimate goal of this book is to design simplified structure and low order robust control algorithms for different dynamic systems with wide range of system parameters variation. These algorithms are based on QFT, H2, H-infinity and interval tools which represent the most popular and well developed robust techniques. The swarm intelligence methods which adopt the collective behaviour of an organized group of animals, as they strive to survive are used to simplify the robust design procedure and obtain the optimal values of the controller parameters. These optimization methods will be used to find the optimal controllers subject to QFT, H2, H-infinity and interval tools constraints. More specifically, the algorithms inspired by birds and ants which are the Particle Swarm Optimization (PSO) method and the Ant Colony Optimization (ACO) methods are used in this book.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/72/786/479/1727864794_b.jpg", "price_data" : { "retail_price" : "65.00", "online_price" : "65.00", "our_price" : "65.00", "club_price" : "65.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Swarm Intelligence to Robust Control Design|Hazem I. Ali

Swarm Intelligence to Robust Control Design

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Overview

The ultimate goal of this book is to design simplified structure and low order robust control algorithms for different dynamic systems with wide range of system parameters variation. These algorithms are based on QFT, H2, H-infinity and interval tools which represent the most popular and well developed robust techniques. The swarm intelligence methods which adopt the collective behaviour of an organized group of animals, as they strive to survive are used to simplify the robust design procedure and obtain the optimal values of the controller parameters. These optimization methods will be used to find the optimal controllers subject to QFT, H2, H-infinity and interval tools constraints. More specifically, the algorithms inspired by birds and ants which are the Particle Swarm Optimization (PSO) method and the Ant Colony Optimization (ACO) methods are used in this book.

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Details

  • ISBN-13: 9781727864793
  • ISBN-10: 1727864794
  • Publisher: Createspace Independent Publishing Platform
  • Publish Date: October 2018
  • Dimensions: 11 x 8.5 x 0.57 inches
  • Shipping Weight: 1.39 pounds
  • Page Count: 270

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