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CRC Press Nonlinear Pinning Control of Complex Networks Book

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Description

Explore advanced control strategies for complex dynamical networks with this technical volume from CRC Press. This book provides a deep analysis of two specific nonlinear control methods: sliding-mode control and the inverse optimal control approach. Readers can examine model-based strategies in Chapters 3 and 5, alongside innovative techniques in Chapters 4 and 6 that utilize recurrent neural networks to determine models for unknown systems. These chapters integrate on-line extended Kalman filtering for effective learning. Organized into four distinct sections, the text begins with mathematical preliminaries, a review of complex networks, and the pinning methodology, making it a structured resource for automation and control engineering research.

Key Features

CRC Press provides an academic analysis of nonlinear pinning control strategies for complex dynamical networks.

The text covers sliding-mode control and the inverse optimal control approach for network management.

Chapters 4 and 6 detail methods for determining models of unknown systems using recurrent neural networks.

On-line extended Kalman filtering is utilized within the book to assist in the learning process.

The content is organized into four sections including mathematical preliminaries and pinning methodology.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
20 August 2021
Listed Since
02 February 2021

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No barcode data available

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