Soft Numerical Computing in Uncertain Dynamic Systems
  • Author : Tofigh Allahviranloo
  • Release Date : 01 September 2020
  • Publisher : Academic Press
  • Genre : Computers
  • Pages : 388
  • ISBN 13 : 9780128229941

Soft Numerical Computing in Uncertain Dynamic Systems Book Summary

Soft Numerical Computing in Uncertain Dynamic Systems is intended for system specialists interested in dynamic systems that operate at different time scales. The book discusses several types of errors and their propagation, covering numerical methods—including convergence and consistence properties and characteristics—and proving of related theorems within the setting of soft computing. Several types of uncertainty representation like interval, fuzzy, type 2 fuzzy, granular, and combined uncertain sets are discussed in detail. The book can be used by engineering students in control and finite element fields, as well as all engineering, applied mathematics, economics, and computer science students. One of the important topics in applied science is dynamic systems and their applications. The authors develop these models and deliver solutions with the aid of numerical methods. Since they are inherently uncertain, soft computations are of high relevance here. This is the reason behind investigating soft numerical computing in dynamic systems. If these systems are involved with complex-uncertain data, they will be more practical and important. Real-life problems work with this type of data and most of them cannot be solved exactly and easily—sometimes they are impossible to solve. Clearly, all the numerical methods need to consider error of approximation. Other important applied topics involving uncertain dynamic systems include image processing and pattern recognition, which can benefit from uncertain dynamic systems as well. In fact, the main objective is to determine the coefficients of a matrix that acts as the frame in the image. One of the effective methods exhibiting high accuracy is to use finite differences to fill the cells of the matrix. Explores dynamic models, how time is fundamental to the structure of the model and data, and how a process unfolds Investigates the dynamic relationships between multiple components of a system in modeling using mathematical models and the concept of stability in uncertain environments Exposes readers to many soft numerical methods to simulate the solution function’s behavior

Soft Numerical Computing in Uncertain Dynamic Systems

Soft Numerical Computing in Uncertain Dynamic Systems

Author : Tofigh Allahviranloo,Witold Pedrycz
Publisher : Academic Press
Genre : Computers
Total View : 2818 Views
File Size : 51,5 Mb
Get Book

Soft Numerical Computing in Uncertain Dynamic Systems is intended for system specialists interested in dynamic systems that operate at different time scales. The book discusses several types of errors and their propagation, covering numerical methods—including convergence and consistence properties and characteristics—and proving of related theorems within the setting ...

Soft Computing Approach for Mathematical Modeling of Engineering Problems

Soft Computing Approach for Mathematical Modeling of Engineering Problems

Author : Ali Ahmadian,Soheil Salahshour
Publisher : CRC Press
Genre : Computers
Total View : 2737 Views
File Size : 45,9 Mb
Get Book

This book describes different mathematical modeling and soft computing techniques used to solve practical engineering problems. It gives an overview of the current state of soft computing techniques and describes the advantages and disadvantages of soft computing compared to traditional hard computing techniques. Through examples and case studies the editors ...

Mathematical Methods in Interdisciplinary Sciences

Mathematical Methods in Interdisciplinary Sciences

Author : Snehashish Chakraverty
Publisher : John Wiley & Sons
Genre : Mathematics
Total View : 8511 Views
File Size : 47,7 Mb
Get Book

Brings mathematics to bear on your real-world, scientific problems Mathematical Methods in Interdisciplinary Sciences provides a practical and usable framework for bringing a mathematical approach to modelling real-life scientific and technological problems. The collection of chapters Dr. Snehashish Chakraverty has provided describe in detail how to bring mathematics, statistics, and ...

Handbook of Research on Novel Soft Computing Intelligent Algorithms

Handbook of Research on Novel Soft Computing Intelligent Algorithms

Author : Pandian Vasant
Publisher : IGI Global
Genre : Technology & Engineering
Total View : 3478 Views
File Size : 48,5 Mb
Get Book

"This book explores emerging technologies and best practices designed to effectively address concerns inherent in properly optimizing advanced systems, demonstrating applications in areas such as bio-engineering, space exploration, industrial informatics, information security, and nuclear and renewable energies"--Provided by publisher....

Soft Computing Based Nonlinear Control Systems Design

Soft Computing Based Nonlinear Control Systems Design

Author : Singh, Uday Pratap,Tiwari, Akhilesh,Singh, Rajeev Kumar
Publisher : IGI Global
Genre : Computers
Total View : 4587 Views
File Size : 54,6 Mb
Get Book

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 ...

Affine Arithmetic Based Solution of Uncertain Static and Dynamic Problems

Affine Arithmetic Based Solution of Uncertain Static and Dynamic Problems

Author : Snehashish Chakraverty,Saudamini Rout
Publisher : Springer Nature
Genre : Mathematics
Total View : 9044 Views
File Size : 41,8 Mb
Get Book

Uncertainty is an inseparable component of almost every measurement and occurrence when dealing with real-world problems. Finding solutions to real-life problems in an uncertain environment is a difficult and challenging task. As such, this book addresses the solution of uncertain static and dynamic problems based on affine arithmetic approaches. Affine ...

Artificial Intelligence and Soft Computing

Artificial Intelligence and Soft Computing

Author : Leszek Rutkowski,Rafał Scherer,Marcin Korytkowski,Witold Pedrycz,Ryszard Tadeusiewicz,Jacek M. Zurada
Publisher : Springer
Genre : Computers
Total View : 3327 Views
File Size : 42,9 Mb
Get Book

The two-volume set LNCS 11508 and 11509 constitutes the refereed proceedings of of the 18th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2019, held in Zakopane, Poland, in June 2019. The 122 revised full papers presented were carefully reviewed and selected from 333 submissions. The papers included in the first volume are organized in ...