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Complex Dynamic System Modelling, Identification and Control

The study of complex dynamic systems has become increasingly important in recent years due to its wide range of applications in fields such as engineering, physics, economics, and biology. These systems are characterized by their interconnectedness, nonlinearities, and feedback loops, which make the...

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Bibliographic Details
Main Author: Zhu, Quanmin
Other Authors: Fusco, Giuseppe, Na, Jing, Zhang, Weicun
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Constrained Systems
Accident Causality Network
Chaos Synchronization
Adaptive Fixed-time
Constrained Parameter Estimation
Multi-agent Systems
Variational Mode Decomposition
Robot Joints
Permission
History Of Engineering & Technology / Bicssc
Internal Model Control (imc)
Multi-sensor System
U-model
Flexible Spacecraft
X-ray Pulsar
Mimo
Technology: General Issues / Bicssc
Static Detection
Local Unknown Input
Robust Control
Parameter Estimation
Deep Convolutional Neural Network
Adaptive Fixed-time Control
Fault Tolerance
Big Measurement Data
Improved Wavelet Threshold
Fault Diagnosis
Active Diagnosis
Invariance Entropy
Dynamic Inversion
Impulsive Control
Global Reconstrucability
Meteorological Data
Strict-feedback High-order Nonlinear Systems
Nonlinear Interconnected Systems
Critical Hazard Identification
Cobalt Removal Process
Railway Accident Prevention
Actuator Fault
Series Causality Analysis
Qpso
Neural Network Control
Sensor Fault
Robust Estimator
Gain Adjustment
Local Reconstrucability
Two-degree-of-freedom Imc (tdf-imc)
Feeding Composition
N/a
Data Reconciliation
Mpe
Bifurcation
Spectral Damping
Dfa
Deep Fusion Predictor
Prevent Oscillations
Pso
Active Reconfiguration
Stochastic Disturbances
Interpolation Control
Chaos Theory
Linear Programming
Stabilization
Interconnected System
Rolling Bearing Fault
Multiplicative Adaptation
Mechanistic Kinetic Model
Automatic Control
Flowdroid
Structured Control
Robust Controller
Chi-square Test
Integer Programming
Reduce-order Uncertain Observer
Coupling
Ceemdan
Cdm
Bayesian Lstm
Svm
Impulse Time Windows
U-model-based Control (u-control)
Gross Error Detection
Measurement Noise
Cluster-delay Mean Square Consensus
Robust Stability
Signal Denoising
Neural Network
Mutual Information
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:The study of complex dynamic systems has become increasingly important in recent years due to its wide range of applications in fields such as engineering, physics, economics, and biology. These systems are characterized by their interconnectedness, nonlinearities, and feedback loops, which make them difficult to understand and control. As a result, there has been growing interest in developing tools and techniques for the modelling, identification, and control of complex dynamic systems.The aim of this reprint is to provide an overview of the state-of-the-art methods for the modelling, identification, and control of complex dynamic systems. This reprint covers a wide range of topics, including system identification, model-based control, adaptive control, nonlinear control, and predictive control. It also includes case studies and examples from different fields to demonstrate the practical application of these methods.This reprint is intended for researchers, graduate students, and practitioners in the field of control systems. It assumes a basic understanding of linear systems theory, calculus, and linear algebra. Overall, this reprint provides a comprehensive and up-to-date overview of the methods for the modelling, identification, and control of complex dynamic systems.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (352 p.)
ISBN:9783036576602
9783036576619
books978-3-0365-7660-2

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