Complex Systems: Spanning Control and Computational Cybernetics: Applications: Dedicated to Professor Georgi M. Dimirovski on his Anniversary (Studies in Systems, Decision and Control, 415)

✍ Scribed by Peng Shi (editor), Jovan Stefanovski (editor), Janusz Kacprzyk (editor)

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 551
• Category: Library

✦ Synopsis

This book, dedicated to Professor Georgi M. Dimirovski on his anniversary, contains new research directions, challenges, and many relevant applications related to many aspects within the broadly perceived areas of systems and control, including signal analysis and intelligent systems. The project comprises two volumes with papers written by well known and very active researchers and practitioners. The first volume is focused on more foundational aspects related to general issues in systems science and mathematical systems, various problems in control and automation, and the use of computational and artificial intelligence in the context of systems modeling and control. The second volume is concerned with a presentation of relevant applications, notably in robotics, computer networks, telecommunication, fault detection/diagnosis, as well as in biology and medicine, and economic, financial, and social systems too.

✦ Table of Contents

Preface
Contents
Professor Georgi M. Dimirovski
New Challenges in Modern Robotics Systems
Control of Unmanned Aerial Vehicle Using Vision System and Sensor Fusion for Wing Shape Deflection Measurement
1 Introduction
2 Deflection Calculation with Stereo Camera
3 Deflection Calculation Using Strain Gauge
4 Feature Matching and Tracking
5 Experiments with Camera Measurement System
6 Experimental Results and Analysis
6.1 Camera Calibration
6.2 Experimental Result
6.3 Result Verification
6.4 The Aerodynamic Results
7 Conclusion
References
Robotic Dance Modeling Methods
1 Introduction
2 Previous Works
2.1 Robot Synchronization
2.2 Dance of Robots
2.3 Petri Nets for Robotic Tasks
3 Theoretical Background
3.1 Synchronization and Dance Using Laban Notation
3.2 Modeling of Robot Movement Using Petri Nets
4 Experimental Results
4.1 Robot System
4.2 Bolero
4.3 Implementation with Modified Laban Notation
4.4 Petri Net Model for Bolero
5 Conclusion
References
A Review of Fuzzy Metaheuristics for Optimal Design of Fuzzy Controllers in Mobile Robotics
1 Introduction
2 Overview of Existing Works
3 Scientometric Analysis
4 Possible Future Research Trends
5 Conclusion
References
New Developments in Time Series Analysis, Prediction, and Fault Detection and Control
Time Series Prediction Using Time-Series Decomposition and Multi-reservoirs Echo State Network
1 Introduction
2 Multiple Reservoirs ESN (MRESN)
3 TSD Method
3.1 EMD
3.2 EEMD
3.3 CEEMD
3.4 VMD
4 Network Traffic Prediction Based on TSD-MRESN
5 Simulation Experiments
6 Conclusions
References
A Proposal for Improving Remaining Useful Life Prediction in Industrial Systems: A Deep Learning Approach
1 Introduction
2 Preprocessing
2.1 Data Labelling
2.2 Data Normalization
3 Performance Metrics
3.1 Proposed Performance Metric
4 Prognostic Model and Model Training
4.1 Prognostic Model
4.2 Model Training
5 Dataset Description
5.1 Preprocessing
5.2 Data Normalization
6 Experiments and Results
7 Conclusions and Future Work
References
Fault Diagnosis/Fault-Tolerant Control: A Survey of Results for Linear Systems Over Frequency Region in Presence of Disturbances
1 Introduction
2 Fault Detection
2.1 Solvability of Problem 1 in Terms of LMI. New KYP Lemma
2.2 All Solutions to Problem 1S with n Subscript normal r Baseline equals n Subscript normal fnr=nf, over the EIA
2.3 New Class of FD Filters with n Subscript normal r Baseline equals n Subscript normal fnr= nf
2.4 New Class of FD Filters with n Subscript normal r Baseline less than n Subscript normal fnr<nf, over the EIA
3 Fault Estimation
4 Passive Fault-Tolerant Control
4.1 FTC Based on Fault Reduction Effect in Respect to Disturbances
4.2 FTC Based on Fault Estimation
4.3 Generalization of the Result of Sect.4.2
4.4 FTC in presence of Disturbances and Un-Estimable Faults
5 Passive Fault-Tolerant Perfect Tracking
6 Conclusions
References
New Interval Observer-Based Fault Detection for Switched Systems
1 Introduction
2 Problem Statement
3 Interval Observer Design: TNL Structure
4 Residual Evaluation
5 Numerical Example
6 Conclusion
References
A Regularized Inverse Problem Approach for Robust Condition Monitoring in Industrial Systems
1 Introduction
2 Mathematical Foundation of the Robust Condition Monitoring
2.1 Theoretical Formulation
2.2 Fault Reconstruction in Actuators
2.3 Fault Reconstruction in Sensors
2.4 Reconstruction of Simultaneous Faults in the Actuator and Sensor
2.5 Tikhonov Regularization and Discrepancy Principle
3 Experiments and Results
3.1 A Case Study: CD Motor AMIRA DR300
3.2 Fault Reconstruction in the Actuator Without Noise
3.3 Fault Reconstruction in the Sensor
3.4 Fault Reconstruction in the Sensor and the Actuator
3.5 Comparison with Other Known Fault Diagnosis Approaches
4 Conclusions
References
On Robustification Based on Continuous Integral Sliding Modes
1 Introduction
2 Uncertain Linear Time Invariant Systems
2.1 State Based Robustification
2.2 Output Based Robustification
2.3 ULTIS Robustification Example
3 Switched Uncertain Linear Time Invariant Systems
3.1 State Based Robustification
3.2 Output Based Robustification
3.3 Cascade Structure Observer
3.4 SULTIS Robustification Example
4 Conclusions
References
Novel Applications in Human Communities and Economic Systems
Model Predictive Tumour Volume Control Using Nonlinear Optimization
1 Introduction
2 Materials and Methods
2.1 Applied Tumor Growth Model
2.2 Controller Design
2.3 Extended Kalman Filter
3 Results
4 Discussion
5 Conclusion
References
Detection of Epilepsy Using Adaptive Neuro-Fuzzy Inference System and Comparative Analysis
1 Introduction
2 Algorithm for Epilepsy Detection Using ANFIS Classifier
2.1 Input Data and De-Noising of the EEG Signals
2.2 The Use of Discrete Wavelet Transform for Feature Extraction
2.3 ANFIS for Classification of EEG Signals
3 Comparative Analysis for the Influence of the Different Tuning Parameters in the Algorithm for Epilepsy Detection Using ANFIS Classifier
3.1 Influence of the Training and Testing Data
3.2 Influence of the Different Wavelet Families
3.3 Different Types of Input Space Partitioning
3.4 The Effect of Normalization
3.5 The Effect of Using Different Number of Clusters, Different Radius of Coverage, and Different Types of Membership Functions
4 Algorithm for Epilepsy Detection Using ANFIS Classifier, Extended with PCA
5 Comparative Analysis for the Influence of the Different Data Splitting Methods, and Different Input Space Partitioning Methods, for the Both Algorithms
5.1 Comparative Analysis for the Influence of the Training and Testing Data, for the Both Algorithms
5.2 Influence of the Different Types of Input Space Partitioning
6 Conclusion
References
Improving Accuracy and Reducing Financial Risk When Forecasting Time Series of SIU0 Future Contracts Employing Neural Network with Word2vec Vector News
1 Introduction
1.1 Relevance and Practical Value
1.2 Artificial Intelligence System Bot-Advisor Based on Big Data Processing
1.3 The Skraper Program for Collecting and Counting Words from News Websites for BI Processing
1.4 Perceptron Neural Network for Forecasting the Closing Price of the SIU0 Futures Contract for the Next 15 min Based on BI from News Websites and Time Series Data
1.5 The Performance of the Perceptron Neural Network in Forecasting the SIU0 Closing Price
2 Methods
2.1 Neural Network Modeling
3 Results and Discussion
3.1 Neural Network Model for Time Series Forecasting
3.2 Risk Assessment When Forming a Time Series Forecast by the AI System
4 Conclusion
4.1 Neural Network Models Have Been Developed
4.2 The Theoretical Background Has Been Studied, the Calculation of the Logarithmic Return for a Unit Time Period Has Been Carried Out
4.3 The Financial Risk When Forecasting SIU0 Time Series Data Has Been Assessed
4.4 The Proposed Hypothesis Has Been Proved
References
A Fuzzy Multistage Control Model for Stable Sustainable Agricultural Regional Development
1 Introduction
2 Brief Introduction to Fuzzy Sets Theory
3 Multistage Decision Making and Control via Fuzzy Dynamic Programming
4 Sustainable Socioeconomic Regional Development Planning Under Fuzziness
5 Stability of Development
5.1 Stability of Development Policy
6 Concluding Remarks
References
Novel Applications in Infrastructure and Manufacturing Industry
Multicriteria Optimal Control of Industrial Thermal Processes with Distributed Parameters Under Variable Operational Conditions
1 Introduction
2 Problem Statement
3 Preliminary Considerations
4 Features of the Proposed Method
5 Simulation Results
6 Conclusions
References
Deep Learning Based Multimodal Information Fusion for Near-Miss Event Detection in Intelligent Traffic Monitoring Systems
1 Introduction
2 Video Analysis
2.1 Vehicle Detection
2.2 Object Classes and Database Compilation
2.3 Detection of the Front Part of the Vehicle
2.4 Object Classes and Database Compilation
2.5 Vehicle Trajectory Tracking and Parameters Estimation
3 Audio Analysis
3.1 Dataset
3.2 Pre-processing and Feature Extraction
3.3 Classification Model
4 Information Fusion
4.1 Class Parameters and Database Compilation
5 Results and Analysis
6 Conclusions
References
Modeling and Feedback Control for Development of Mobile Technologies in Virtual Education Environments
1 Introduction
2 Mobile Technologies in Virtual Learning Environments: Overview and Analytics
3 Feedback: Modeling and Management in Virtual Learning Environments
3.1 Feedback Control Technology
3.2 Robotic Mobile Technologies in Teaching
4 Deep Modeling Through Constraint Satisfaction in Virtual Learning Environments: Overview
5 Conclusions
References
Control of Power Consumption with Integrated System of Technology, Regulation and Consumer Behavior Management
1 Introduction
2 Basic Idea and Elements of the System ITSM
3 Model Analysis with Competitive Game Theory
4 Benefits Transfer via Cooperative Game Theory
5 Conclusions
References
Novel Applications in Computer Networks and Telecommunications
Double-Router TCP/AQM Network Systems: Backstepping Communication Control Design
1 Introduction
2 State Space Dynamics of Double Router TCP/AQM Network Systems
3 Backstepping Design of the Control Law
3.1 Step 1
3.2 Step 2
3.3 Step 3
3.4 Step 4
4 Simulation Analysis
5 Conclusions
References
Noise-Robust and Secure Communication Protocol for Industrial Networked Control Systems
1 Introduction
2 A Secure Communication Protocol Based on Coupling Functions
2.1 The Concept of the Protocol
2.2 Dynamical Bayesian Inference
3 Implementation of the Communication Protocol
3.1 Analogue Electronic Implementation
3.2 Signal Analysis
3.3 Influence of Low-Frequency Non-Gaussian Noise on the Information Transfer
3.4 Data Transmission Power and Energy Efficiency
4 Conclusion
References
Distributed Adaptive NN Finite-Time Congestion Control for Multiple TCP/AWM Networks
1 Introduction
2 Preliminaries
3 Distributed Cooperative Control of Multiple TCP/AWM Networks
3.1 Distributed Cooperative Controller Design
3.2 Stability Analysis
4 Simulation Results
5 Conclusion
References
Network Traffic Classification Using Supervised Machine Learning Algorithms in Systems with NFV Architecture
1 Introduction
2 Related Work
3 Experimental Setup and Dataset Creation
4 Results and Analysis
5 Concluding Remarks and Future Research
References
Manipulation of URL Addresses Using Machine Learning to Provide Better Cyber Security
1 Introduction
2 Related Work
3 ML-Based URL Detection
4 Performance Analysis
4.1 Malicious URL Detection
4.2 URL Classification Based on the Content Provided
5 Conclusion
References
Modelling of Priority Buffering Systems Applicable for Commercial Mobile Networks
1 Introduction
2 Previous Work
3 Analytical Model
4 Results
5 Conclusion
References