[PDF] Soft Numerical Computing In Uncertain Dynamic Systems Book Downl

Author : Tofigh Allahviranloo
Publsiher : Academic Press
Release : 01 September 2020
ISBN : 0128229942
Pages : 388 pages
Rating : 4/5 from 21 reviews

GET THIS BOOK

Read or download book entitled Soft Numerical Computing in Uncertain Dynamic Systems written by Tofigh Allahviranloo which was release on 01 September 2020, this book published by Academic Press. Available in PDF, EPUB and Kindle Format. Book excerpt: 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

Scientific and Technical Aerospace Reports

STAR an Abstract Journal

Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems

Computer Control Abstracts

Proceedings of the ASME Dynamic Systems and Control Division

The Bulletin of Mathematics Books

Archives of Acoustics

Artificial intelligence and soft computing

Computational Intelligence and Applications

International Aerospace Abstracts

Mathematical and Computational Modeling and Simulation

Analysis and Design of Intelligent Systems Using Soft Computing Techniques

AIAA Journal

Mathematical Methods in Interdisciplinary Sciences