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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.
- This book addresses advanced analytical tools for characterization control, estimation and design of networked dynamic systems over fixed, probabilistic and time-varying graphs
- Provides coherent results on adopting a set-theoretic framework for critically examining problems of the analysis, performance and design of discrete distributed systems over graphs
- Deals with both homogeneous and heterogeneous systems to guarantee the generality of design results
Senior undergraduate and graduate students in engineering and computer science; process engineers, technology developers and designers.
1. Mathematical background and examples
2. Structural and performance patterns
3. Consensus of systems over graphs
4. Energy-based cooperative control
5. Performance of consensus algorithms
6. Event-based coordination control
7. Advanced approaches to multiagent coordination
8. State estimation techniques
9. Advanced distributed filtering
- No. of pages:
- © Academic Press 2020
- 22nd October 2020
- Academic Press
- eBook ISBN:
- Paperback ISBN:
Magdi S. Mahmoud is Distinguished Professor at King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia. He is the recipient of two national, one regional, and several university prizes for outstanding research in engineering and applied mathematics. He is a fellow of the IEE, a senior member of the IEEE and the CEI (United Kingdom), and a registered consultant engineer of information engineering and systems (Egypt). He is currently actively engaged in teaching and research in the development of modern methods for distributed control and filtering, networked control systems, triggering mechanisms in dynamical systems, fault-tolerant systems, and information technology.
Distinguished Professor, Systems Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
Yuanqing Xia has worked in the Department of Automatic Control, Beijing Institute of Technology, Beijing, since 2004, first as an associate professor, and, since 2008, as a professor. He is a Yangtze River Scholar and Chair Professor of the Beijing Institute of Technology since 2016. His current research interests are in the fields of networked control systems, robust control, sliding mode control, active disturbance rejection control, biomedical signal processing, and cloud control systems.
Professor, School of Automation, Beijing Institute of Technology, Beijing, China
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