Fault Diagnosis and Fault-Tolerant Control of Nonlinear Systems with Higher System Input Powers Fault Diagnosis and Fault-Tolerant Control of Nonlinear Systems with Higher System Input Powers
Intelligent Control and Learning Systems

Fault Diagnosis and Fault-Tolerant Control of Nonlinear Systems with Higher System Input Powers

    • €119.99
    • €119.99

Publisher Description

This book provides recent theoretical results and applications of the fault diagnosis and fault-tolerant control for the nonlinear systems with higher input powers. Combining adaptive control technique, fuzzy logic systems, neural networks, Observer-based methods with the other control technique or approaches, this book investigates the fault diagnosis and fault-tolerant control problem of the nonlinear systems with higher input powers and proposes the corresponding diagnostic mechanisms, Fault estimation algorithm and fault-tolerant control schemes. This book intends to provide the readers a good understanding on fault diagnosis and fault-tolerant control of the nonlinear systems with higher input powers based on adaptive control technology. This book can serve as a reference for the main research issues and results on nonlinear systems with higher input powers for researchers devoting to various areas of fault-tolerant control theory, as well as a material for graduate and undergraduate students interested in nonlinear system control, especially fault diagnosis and fault-tolerant control, and their applications. Some prerequisites for reading this book include nonlinear system theory, matrix theory, mathematics, basic graph theory, and so on.

GENRE
Professional & Technical
RELEASED
2025
19 March
LANGUAGE
EN
English
LENGTH
207
Pages
PUBLISHER
Springer Nature Singapore
PROVIDER INFO
Springer Science & Business Media LLC
SIZE
11.9
MB
Distributed Fault-Tolerant Consensus Control of Leader-Following Systems Distributed Fault-Tolerant Consensus Control of Leader-Following Systems
2023
Fault Diagnosis and Fault-Tolerant Control Based on Adaptive Control Approach Fault Diagnosis and Fault-Tolerant Control Based on Adaptive Control Approach
2017
Dynamic Neural Networks for Motion Control of Redundant Manipulators Dynamic Neural Networks for Motion Control of Redundant Manipulators
2025
Robust Iterative Learning Control of Industrial Batch Systems Robust Iterative Learning Control of Industrial Batch Systems
2025
Discrete-Time Adaptive Iterative Learning Control Discrete-Time Adaptive Iterative Learning Control
2022
Data-Driven Iterative Learning Control for Discrete-Time Systems Data-Driven Iterative Learning Control for Discrete-Time Systems
2022
Data-Driven Fault Detection and Reasoning for Industrial Monitoring Data-Driven Fault Detection and Reasoning for Industrial Monitoring
2022
Complex-Valued Neural Networks Systems with Time Delay Complex-Valued Neural Networks Systems with Time Delay
2022