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Название: Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems
Автор: Kasra Esfandiari, Farzaneh Abdollahi
Издательство: Springer
Год: 2022
Страниц: 181
Язык: английский
Формат: pdf (true), epub
Размер: 23.2 MB
The focus of this book is the application of artificial neural networks (ANN) 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.
Автор: Kasra Esfandiari, Farzaneh Abdollahi
Издательство: Springer
Год: 2022
Страниц: 181
Язык: английский
Формат: pdf (true), epub
Размер: 23.2 MB
The focus of this book is the application of artificial neural networks (ANN) 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.