£91.56

Springer Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems

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£115.22 £85.28 £91.81 £98.34 £104.88 £111.41 £117.94 09 June 2024 15 November 2024 24 April 2025 30 September 2025 09 March 2026

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Description

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 (i.e., 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.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
19 June 2021
Listed Since
09 March 2021

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