constraint consensus

weixin_44930577 2019-04-17 06:08:20

求constraint consensus算法的讲解和matlab代码

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As the main building block of the smart grid systems, microgrid (MG) integrates a number of local distributed generation units, energy storage systems, and local loads to form a small-scale, low- and medium-voltage level power system. In gen- eral, an MG can operate in two modes, i.e., the grid-connected and islanded mode. Recently, in order to standardize its operation and functionality, hierarchical con- trol for islanded MG systems has been proposed. It divides the control structure into three layers, namely, primary, secondary, and tertiary control. The primary control is based on each local distributed generation (DG) controller and is realized in a de- centralized way. In the secondary layer, the frequency and voltage restoration control as well as the power quality enhancement is usually carried out. In the tertiary con- trol, economic dispatch and power flow optimization issues are considered. However, conventionally both the secondary and tertiary control are realized in a centralized way. There are certain drawbacks to such centralized control, such as high compu- tation and communication cost, poor fault tolerance ability, lack of plug-and-play properties, and so on. In order to overcome the above drawbacks, distributed control is proposed in the secondary control and tertiary optimization in this book. In the secondary control, restorations for both voltage and frequency in the droop- controlled inverter-based islanded MG are addressed. A distributed finite-time con- trol approach is used in the voltage restoration which enables the voltages at all the DGs to converge to the reference value in finite time, and thus, the voltage and frequency control design can be separated. Then, a consensus-based distributed fre- quency control is proposed for frequency restoration, subject to certain control input constraints. The proposed control strategy can restore both voltage and frequency to their respective reference values while having accurate real power shari

Type inheritance is that phenomenon according to which we can say, for example, that every square is also a rectangle, and so properties that apply to rectangles in general apply to squares in particular. In other words, squares are a subtype of rectangles, and rectangles are a supertype of squares. Recognizing and acting upon such subtype / supertype relationships provides numerous benefits: Certainly it can help in data modeling, and it can also provide for code reuse in applications. For these reasons, many languages, including the standard database language SQL, have long supported such relationships. However, there doesn’t seem to be any consensus in the community at large on a formal, rigorous, and abstract model of inheritance. This book proposes such a model, one that enjoys several advantages over other approaches, not the least of which it is that it’s fully compatible with the well known relational model of data. Topics the model covers include: Both single and multiple inheritance Scalar, tuple, and relation inheritance Type lattices and union and intersection types Polymorphism and substitutability Compile time and run time binding All of these topics are described in detail in the book, with numerous illustrative examples, exercises, and answers. The book also discusses several alternative approaches. In particular, it includes a detailed discussion and analysis of inheritance as supported in the SQL standard. Table of Contents PART I PRELIMINARIES Chapter 1 Background Chapter 2 Types without Inheritance Chapter 3 Types with Inheritance Chapter 4 The Inheritance Model PART II SCALAR TYPES, SINGLE INHERITANCE Chapter 5 Basic Definitions Chapter 6 Scalar Values with Inheritance Chapter 7 Scalar Variables with Inheritance Chapter 8 Specialization by Constraint etc. Chapter 9 Equality Comparisons etc. Chapter 10 Treating and Type Testing Chapter 11 Substitutability Chapter 12 Union and Dummy Types Chapter 13 Interlude: The S by C Controversy PART III SCALAR TYPES, MULTIPLE INHERITANCE Chapter 14 An Overview of Multiple Inheritance Chapter 15 IM Prescriptions 8 - 9 Revisited Chapter 16 IM Prescriptions 10 - 20 Revisited PART IV TUPLE AND RELATION INHERITANCE Chapter 17 Tuple / Relation Values with Inheritance Chapter 18 Tuple / Relation Values with Inheritance (cont.) Chapter 19 Tuple / Relation Maximal and Minimal Types etc. Chapter 20 Tuple / Relation Variables with Inheritance PART V OTHER APPROACHES Chapter 21 Structural Inheritance Chapter 22 Inheritance in SQL Appendix A Encapsulation Is a Red Herring Appendix B Persistence Not Orthogonal to Type Appendix C Glossary of Terms

研究了连续时间的异构多智能体系统在竞争网络下的分组一致性问题。系统由两类智能体组成——一阶智能体和二阶智能体。与现有研究不同的是，提出了一种新颖的分布式分组一致性控制协议，智能体之间互为竞争的关系。基于稳定性理论、频域方法，讨论了在无时间延迟和有时间延迟影响下的两种系统分组一致性的情形。此外，从理论上建立了实现分组一致性的可容忍的时间延迟上界。通过一系列的数值模拟验证了理论的研究。MATLAB源程序：请私信获取，请及时关注回复。，异构多智能体系统可实现渐近时间分组一致性。

图匹配论文《Deep Graph Matching under Quadratic Constraint》最新解读

随机采样一致分割法，从点云中分割出线、面等几何元素 #include <pcl/sample_consensus/method_types.h> #include <pcl/sample_consensus/model_types.h> #include <pcl/segmentation/sac_segmentation.h> // Creat...

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