Mesh analysis is applicable only to those networks, which are planar. If it is possible to draw the diagram of a circuit on a plane surface in such a way that no branch passes over or under any other branch, then that circuit is said to be planar circuit. (Non-planar-circuit

Chapter 7: The Analysis of Price Determination Gang Gong Copyright Notes: This electronic file is only used as a lecture notes for the student in this class. It is not allowed to be used for presentation anywhere else without the permission from the author

Textures in different layers of superconductors based on YBGO system are analyzed using the methods of pole figure and conventional Φ scans. It is shown that the Φ scanning technology has only 1-dimensional description and could omit some information of 3-dimensional orientation distribution, which will in-fluence the superconductor quality. The pole figure method, in contrast, demonstrates the orientation distribution 2-dimensionally and gives a comprehensive view of thin film texture, which is a much better method for texture analysis in superconducting films,in which there is commonly an unique high sharpness texture com-ponent

1. Automatic Control System 1.1 Introduction 1.2 An example 1.3 Types of control system 2. Mathematical Foundation 2.1 The transfer function concept 2.2 The block diagram. 2.3 Signal flow graphs 2.4 Construction of signal flow graphs 2.5 General input-output gain transfer 3. Time-Domain Analysis Of Control System 3.1 Introduction 3.2 Typical test signals for time response of control systems 3.3 First –Order Systems 3.4 Performance of a Second-Order System 3.5 Concept of Stability 4. The Root Locus Techniques 4.1 Introduction 4.2 Root Locus Concept 4.3 The Root Locus Construction Procedure for General System 4.4 The zero-angle (negative) root locus 5. Frequency-Domain Analysis of Control System 5.1 Frequency Response 5.2 Bode Diagrams 5.3 Bode Stability Criteria 5.4 The Nyquist Stability Criterion 6. Control system design 6.1 Introduction 6.2 Cascade Lead Compensation 6.3 Properties of the Cascade Lead Compensator 6.4 Parameter Design by the Root Locus Method

Frequency response is the analysis of the response of systemswhen subjected to a sinusoidal change in input. When a linear system is subjected to a sinusoidal input, its ultimate response is also a sustained sinusoidal wave, with the same frequency. The figure below compares the output response of a system (solid line) with a sinusoidal input (dashed line) disturbing the system

1. Automatic Control System 1.1 Introduction 1.2 An example 1.3 Types of control system 2. Mathematical Foundation 2.1 The transfer function concept 2.2 The block diagram. 2.3 Signal flow graphs 2.4 Construction of signal flow graphs 2.5 General input-output gain transfer function 3. Time-Domain Analysis Of Control System 3.1 Introduction 3.2 Typical test signals for time response of control systems 3.3 First –Order Systems 3.4 Performance of a Second-Order System 3.5 Concept of Stability 4. The Root Locus Techniques 4.1 Introduction 4.2 Root Locus Concept 4.3 The Root Locus Construction Procedure for General System 4.4 The zero-angle (negative) root locus 5. Frequency-Domain Analysis of Control System 5.1 Frequency Response 5.2 Bode Diagrams 5.3 Bode Stability Criteria 5.4 The Nyquist Stability Criterion 6. Control system design 6.1 Introduction 6.2 Cascade Lead Compensation 6.3 Properties of the Cascade Lead Compensator 6.4 Parameter Design by the Root Locus Method

16.1 Introduction 16.2 FURTHER DATA ANALYSIS: (MEASURED V ATTRIBUTE) 16.3 HYPOTHESIS TEST 1 16.4 HYPOTHESIS TEST 2

15.1 INTRODUCTION 15.2 COMMON DATA-ANALYSIS METHODOLOGY 15.3 EXPLORING RELATIONSHIPS 1 15.4 WORKING WITH SAMPLE DATA 15.5 THE INITIAL DATA ANALYSIS AND MINITAB 15.6 SUMMARY

14.1 INTRODUCTION 14.2 WHAT IS DATA 14.3 DESCRIBING VARIABLES 14.4 THE CONCEPT OF A STATISTICAL DISTRIBUTION 14.5 SUMMARY 14.6 THE NATURE OF A SAMPLE 14.8 DESCRIBING SAMPLE DATA 14.7 DATA ANALYSIS USING SAMPLE DATA 14.9 INVESTIGATING RELATIONSHIPS BETWEEN VARIABLES

◼ Outlier and Outlier Analysis ◼ Outlier Detection Methods ◼ Statistical Approaches ◼ Proximity-Base Approaches ◼ Clustering-Base Approaches ◼ Classification Approaches ◼ Summary