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- Discrete Networked Dynamic Systems: Analysis and Performance, (Paperback)
Discrete Networked Dynamic Systems: Analysis and Performance, (Paperback)
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Discrete Networked Dynamic Systems: Analysis and Performance presents a systematic analysis of a general class of linear discrete-time dynamic systems interconnected over an information network.
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- Discrete Networked Dynamic Systems: Analysis and Performance provides a high-level treatment of a general class of linear discrete-time dynamic systems interconnected over an information network, exchanging relative state measurements or output measurements. It presents a systematic analysis of the material and provides an account to the math development in a unified way. The topics in this book are structured along four dimensions: Agent, Environment, Interaction, and Organization, while keeping global (system-centered) and local (agent-centered) viewpoints. The focus is on the wide-sense consensus problem in discrete networked dynamic systems. The authors rely heavily on algebraic graph theory and topology to derive their results. It is known that graphs play an important role in the analysis of interactions between multiagent/distributed systems. Graph-theoretic analysis provides insight into how topological interactions play a role in achieving coordination among agents. Numerous types of graphs exist in the literature, depending on the edge set of G. A simple graph has no self-loop or edges. Complete graphs are simple graphs with an edge connecting any pair of vertices. The vertex set in a bipartite graph can be partitioned into disjoint non-empty vertex sets, whereby there is an edge connecting every vertex in one set to every vertex in the other set. Random graphs have fixed vertex sets, but the edge set exhibits stochastic behavior modeled by probability functions. Much of the studies in coordination control are based on deterministic/fixed graphs, switching graphs, and random graphs.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | October, 2020 |
| Pages | 484 |
| Reading level | Professional & Vocational |
| Subgenre | Mechanical |
| Series title | No Series |
| Edition | 1 |
| Publisher | Elsevier Science |
| Original languages | English |
| Language | English |
| Edu focus | Robotics, Engineering |
| Educational level | General |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.00 x 0.97 x 9.00 in (15.2 x 2.5 x 22.9 cm) |
| Assembled product weight | 1.41 lb (640 grams) |
| Bisac subject heading | Technology & Engineering |
Who Should Buy?
-
Academic Researchers
Ideal for researchers seeking in-depth knowledge about dynamic systems and their performance metrics for academic publications.
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Graduate Students
Beneficial for graduate students studying control systems, providing foundational concepts and advanced analytical techniques.
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Industry Professionals
Useful for engineers and professionals working in networked control systems, offering practical applications and performance analysis.
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Beginners
Not suitable for individuals new to dynamic systems due to its advanced concepts and technical jargon.
Product Description
Customer Questions & Answers
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Question:
What is the main subject of this book?
Answer: The book focuses on the analysis and performance of linear discrete-time dynamic systems interconnected over information networks. -
Question:
How is the content organized?
Answer: The content is structured around four dimensions: Agent, Environment, Interaction, and Organization. -
Question:
What theoretical approaches does the book rely on?
Answer: The book heavily relies on algebraic graph theory and topology to derive its results.
Magdi S Mahmoud All Books Editorial Review
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STD 4822985
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Features & Benefits
- Comprehensive coverage of linear discrete-time dynamic systems.
- Focus on systems interconnected via information networks.
- Structured analysis along four key dimensions: Agent, Environment, Interaction, Organization.
- Emphasis on achieving wide-sense consensus in dynamic systems.
- Utilizes algebraic graph theory and topology for insights.
- Explains various types of graphs relevant to multiagent coordination.
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