Description
Discrete Networked Dynamic Systems
Analysis and Performance
Authors: Mahmoud Magdi S., Xia Yuanqing
Language: EnglishSubjects for Discrete Networked Dynamic Systems:
Keywords
adversary; agreement protocol; asymptotic consensus; averaging algorithms; B8 filtering; connection topology; consensus prediction; consensus problem; convex optimization saturation; cooperative control; covariance intersection; delay systems; Discrete networked dynamic systems (DNDSs); Distributed estimation; diverse time delays; Dynamic consensus; eigenvalue spectra; event-triggered scheme; exponentially mean square stable; industrial utility boiler; Information matrix filter; Kalman-like particle filter; large delay sequences; model networks; Multiagent system; Multiagent systems; resilient consensus; robust output regulation; scalable consensus; stochastic complex dynamical networks; structural characteristics; time-varying delay; tracking control; uncertain multiagent systems; weighted covariance
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Add to cart the book of Mahmoud Magdi S., Xia Yuanqing484 p. · 15x22.8 cm · Broché
Résumé
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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.
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
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.
- 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