Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Nonlinear Pinning Control Of Complex Dynamical Networks: Analysis And ApplicationsISBN13:9781032020877ISBN10:1032020873Author:Sanchez, Edgar N. (Author), Vega, Carlos J. (Author), Suarez, Oscar J. (Author)Description:This Book Presents Two Nonlinear Control Strategies For Complex Dynamical Networks First, Sliding-Mode Control Is Used, And Then The Inverse Optimal Control Approach Is Employed For Both Cases, Model-Based Is Considered In Chapter 3 And Chapter 5; Then, Chapter 4 And Chapter 6 Are Based On Determining A Model For The Unknow System Using A Recurrent Neural Network, Using On-Line Extended Kalman Filtering For Learning The Book Is Organized In Four Sections The First One Covers Mathematical Preliminaries, With A Brief Review For Complex Networks, And The Pinning Methodology Additionally, Sliding-Mode Control And Inverse Optimal Control Are Introduced Neural Network Structures Are Also Discussed Along With A Description Of The High-Order Ones The Second Section Presents The Analysis And Simulation Results For Sliding-Mode Control For Identical As Well As Non-Identical Nodes The Third Section Describes Analysis And Simulation Results For Inverse Optimal Control Considering Identical Or Non-Identical Nodes Finally, The Last Section Presents Applications Of These Schemes, Using Gene Regulatory Networks And Microgrids As Examples Binding:Hardcover, HardcoverPublisher:CRC PressPublication Date:2021-08-20Weight:0 lbsDimensions:Number of Pages:232Language:English
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Location: USA
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Book Title: Nonlinear Pinning Control of Complex Dynamical Networks
Item Length: 9.2in.
Item Width: 6.1in.
Author: Guanrong Chen, Edgar N. Sanchez, Carlos J. Vega, Oscar J. Suarez
Format: Hardcover
Language: English
Topic: Mechanical, Electrical
Publisher: Taylor & Francis Group
Publication Year: 2021
Genre: Technology & Engineering
Item Weight: 20.5 Oz
Number of Pages: 202 Pages