Network-Based Analysis of Dynamical Systems: Methods for Controllability and Observability Analysis, and Optimal Sensor Placement (SpringerBriefs in Computer Science)

Preface
Contents
Symbols and Acronyms
	Symbols
	Acronyms
1 Introduction
	1.1 Network Science-Based Analysis of Complex Systems
	1.2 Formalisation of the Network-Based Controllability and Observability Analysis
	1.3 Recent Trends in Network-Based Dynamical System Analysis
	1.4 Motivation and Outline of the Book
	References
2 Structural Controllability and Observability Analysis in Complex Networks
	2.1 Critical Evaluation of the Methodology
	2.2 Connections Between the State Variables and Their Effect on Controllability and Observability
	2.3 Benchmark Examples
	2.4 Effect of the Connection Types
	2.5 Discussion
	References
3 Reduction of Relative Degree by Optimal Control and Sensor Placement
	3.1 Problem of Sensor Placement
	3.2 Relative Degree-Based Cost Functions
	3.3 Fast and Robust Output Configuration Design
		3.3.1 Centrality Measures and Set Covering-Based Methods
		3.3.2 Simulated Annealing and Fuzzy Clustering-Based Methods
	3.4 Sensor Placement Case Studies
		3.4.1 Description of the Case Studies
		3.4.2 Performance of the Optimisation Algorithms
		3.4.3 Convergence Analysis
	3.5 Discussion
	References
4 Application to the Analysis of Heat Exchanger Networks
	4.1 Importance of Process Integration
	4.2 Network-Based Complexity and Operability Analysis of HENs
	4.3 Studied Benchmark Problems
		4.3.1 Analysis of the 9sp-al1 Problem
		4.3.2 Correlation Between Structural and Dynamical Properties
	4.4 Discussion
	References
5 The NOCAD MATLAB/Octave Toolbox Developed for the Analysis of Dynamical Systems
	5.1 Existing Tools for Network Analysis
	5.2 The Workflow Related to the Application of the Toolbox
	5.3 Structure of the Toolbox
	5.4 Use Cases
	5.5 Discussion
	References
6 Summary
	6.1 Conclusion
Appendix A Effect of Connection Types
A.1 The Path-Finding Method
A.2  The Studied Networks
A.3 Calculated Measures of the Benchmark Networks
Appendix B Reduction of Relative Degree by Additional Drivers and Sensors
B.1 Details of the Case Studies
B.2 Network Representations of the Case Studies
B.3 Convergence of the Solutions
Index