menu
{ "item_title" : "Identification, Knowledge Engineering and Digital Modeling for Adaptive and Intelligent Control", "item_author" : [" Natalia Bakhtadze", "Igor Yadykin", "Andrei Torgashov "], "item_description" : "The Special Issue aims to bring together scientists working in various branches of control theory to discuss manufacturing control problems that include the following: enterprise control and digital ecosystem creation; the development of identification theory and methodology, and related mathematical problems; parameter, nonparametric, and structure identification and expert analysis; problems regarding selection and data analysis; control systems with an identifier; modeling in intelligent systems; simulation procedures and software; digital identification; reinforcement learning; quantum modeling; intelligent model predictive control; predictive cognitive issues; problems with software quality for complex systems; and global network resources for support processes of modeling and control.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/03/658/060/3036580603_b.jpg", "price_data" : { "retail_price" : "88.92", "online_price" : "88.92", "our_price" : "88.92", "club_price" : "88.92", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Identification, Knowledge Engineering and Digital Modeling for Adaptive and Intelligent Control|Natalia Bakhtadze

Identification, Knowledge Engineering and Digital Modeling for Adaptive and Intelligent Control

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

The Special Issue aims to bring together scientists working in various branches of control theory to discuss manufacturing control problems that include the following: enterprise control and digital ecosystem creation; the development of identification theory and methodology, and related mathematical problems; parameter, nonparametric, and structure identification and expert analysis; problems regarding selection and data analysis; control systems with an identifier; modeling in intelligent systems; simulation procedures and software; digital identification; reinforcement learning; quantum modeling; intelligent model predictive control; predictive cognitive issues; problems with software quality for complex systems; and global network resources for support processes of modeling and control.

Details

  • ISBN-13: 9783036580609
  • ISBN-10: 3036580603
  • Publisher: Mdpi AG
  • Publish Date: July 2023
  • Dimensions: 9.61 x 6.69 x 0.88 inches
  • Shipping Weight: 1.68 pounds
  • Page Count: 260

Related Categories

You May Also Like...

    1

BAM Customer Reviews