Long J Neural Dynamics for Time-varying Problems Advances and Applications 2025
General:
Name: Long J Neural Dynamics for Time-varying Problems Advances and Applications 2025
Format: pdf
Size: 26.28 MB
Book:
Title: Neural Dynamics for Time-varying Problems
Author: Long Jin, Lin Wei, Xin Lv
Language: polski
Year: 2024
Subjects: Computers, Science & Technology, Engineering, Technology, Artificial Intelligence (AI), Robotics & Artificial Intelligence, Artificial Intelligence – General
Publisher: Springer-Verlag New York, LLC
ISBN: 9783031685941
Total pages: 213
Description:
This book mainly presents methods based on neural dynamics for the time-varying problems with applications, together with the corresponding theoretical analysis, simulative examples, and physical experiments. Based on these methods, their applications include motion planning of redundant manipulators, filter design, winner-take-all operation, multiple-input multiple-output system configuration, multi-linear tensor equation solving, and manipulability optimization are also presented. In this book, we present the design, proposal, development, analysis, modeling, and simulation of various neural dynamic models, along with their respective applications including motion planning of redundant manipulators, filter design, winner-take-all operation, multiple-input multiple-output system configuration, multi-linear tensor equation solving, and manipulability optimization. Specifically, starting from the top-level considerations of hardware implementation, we integrate computational intelligence methods and control theory to design a series of dynamic and noise-resistant discrete neural dynamic methods. The research work not only owns the theoretical guarantee on its convergence, noise resistance, and accuracy, but demonstrate the effectiveness and robustness in solving various optimization and equation solving problems, particularly in handling time-varying problems and noise perturbations. Moreover, by reducing complexity and avoiding matrix inversion operations, the models’ feasibility and practicality are further enhanced.
Download from RapidGator
https://rapidgator.net/file/5e326685a564c9e35f927b36506ba224/zhviz9b43ys55g80em21a7.pdf