Description: Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Kasra Esfandiari, Farzaneh Abdollahi, Heidar A. Talebi Format: Hardback Publisher: Springer Nature Switzerland AG, Switzerland Imprint: Springer Nature Switzerland AG ISBN-13: 9783030731359, 978-3030731359 Synopsis The focus of this book is the application of artificial neural networks in uncertain dynamical systems. It explains how to use neural networks in concert with adaptive techniques for system identification, state estimation, and control problems. The authors begin with a brief historical overview of adaptive control, followed by a review of mathematical preliminaries. In the subsequent chapters, they present several neural network-based control schemes. Each chapter starts with a concise introduction to the problem under study, and a neural network-based control strategy is designed for the simplest case scenario. After these designs are discussed, different practical limitations ([url] saturation constraints and unavailability of all system states) are gradually added, and other control schemes are developed based on the primary scenario. Through these exercises, the authors present structures that not only provide mathematical tools for navigating control problems, but also supply solutions that are pertinent to real-life systems.
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Book Title: Neural Network-Based Adaptive Control of Uncertain Nonlinear S...
Subject Area: Electrical Engineering
Item Height: 235 mm
Item Width: 155 mm
Author: Farzaneh Abdollahi, Kasra Esfandiari, Heidar A. Talebi
Publication Name: Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems
Format: Hardcover
Language: English
Publisher: Springer Nature Switzerland A&G
Subject: Computer Science, Mathematics
Publication Year: 2021
Type: Textbook
Item Weight: 458 g
Number of Pages: 163 Pages