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{ "item_title" : "Soft-Computing-Based Nonlinear Control Systems Design", "item_author" : [" Uday Pratap Singh", "Akhilesh Tiwari", "Rajeev Kumar Singh "], "item_description" : "A critical part of ensuring that systems are advancing alongside technology without complications is problem solving. Practical applications of problem-solving theories can model conflict and cooperation and aid in creating solutions to real-world problems. Soft-Computing-Based Nonlinear Control Systems Design is a critical scholarly publication that examines the practical applications of control theory and its applications in problem solving to fields including economics, environmental management, and financial modelling. Featuring a wide range of topics, such as fuzzy logic, nature-inspired algorithms, and cloud computing, this book is geared toward academicians, researchers, and students seeking relevant research on control theory and its practical applications.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/52/253/531/1522535314_b.jpg", "price_data" : { "retail_price" : "245.00", "online_price" : "245.00", "our_price" : "245.00", "club_price" : "245.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Soft-Computing-Based Nonlinear Control Systems Design|Uday Pratap Singh

Soft-Computing-Based Nonlinear Control Systems Design

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Overview

A critical part of ensuring that systems are advancing alongside technology without complications is problem solving. Practical applications of problem-solving theories can model conflict and cooperation and aid in creating solutions to real-world problems. Soft-Computing-Based Nonlinear Control Systems Design is a critical scholarly publication that examines the practical applications of control theory and its applications in problem solving to fields including economics, environmental management, and financial modelling. Featuring a wide range of topics, such as fuzzy logic, nature-inspired algorithms, and cloud computing, this book is geared toward academicians, researchers, and students seeking relevant research on control theory and its practical applications.

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Details

  • ISBN-13: 9781522535317
  • ISBN-10: 1522535314
  • Publisher: Engineering Science Reference
  • Publish Date: February 2018
  • Dimensions: 11 x 8.5 x 0.94 inches
  • Shipping Weight: 2.75 pounds
  • Page Count: 415

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