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ME-427: Networked control systems
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Lectures in this course (61)
Networked Control Systems: Consensus Algorithms in Digraphs
Explores consensus algorithms in digraphs, focusing on scenarios where the digraph is not strongly connected.
Networked Control Systems: Strongly Connected Components and Condensation Digraphs
Explores strongly connected components and condensation digraphs in networked control systems, demonstrating their practical implications.
Consensus Theorem for Communication Networks
Explores the consensus theorem for communication networks and the implications of various consensus properties in networked control systems.
Consensus with GR Nodes
Explores consensus with GR nodes in networked control systems, focusing on condensation digraphs and the main result.
Consensus in Networked Control Systems
Explores consensus in networked control systems through graph weight design and matrix properties.
Consensus Algorithms: Weight Assignment and Applications
Explores the design of graph weights for consensus and applications in sensor networks.
Distributed Algorithms for Networked Control Systems
Explores distributed algorithms for networked control systems, covering consensus, least-squares regression, and time-varying communication networks.
Distributed Computation: Consensus Algorithms in Networked Control Systems
Explores consensus algorithms in networked control systems, covering topics like Metropolis-Hasting models and distributed computation of Least-Squares regression.
Time-Varying Consensus Algorithms
Explores time-varying consensus algorithms in networked control systems and the Laplacian matrix's role in achieving average consensus.
Laplacian Matrix: Properties and Examples
Explores the Laplacian matrix, time-varying consensus theorems, and balanced graphs in networked control systems.
Laplacian Matrix in Networked Control Systems
Explores the Laplacian matrix in electric and mechanical networks, consensus, and properties of Laplacian matrices in networked control systems.
Networked Control Systems: Laplacian Matrix and Consensus
Explores the Laplacian matrix and consensus in networked control systems.
Networked Control Systems: Laplacian Matrix and Graph Association
Explores Laplacian matrices of graphs, graph-digraph association, and physical system examples.
Networked Control Systems: Consensus and Laplacian Flow
Explores the Laplacian flow and achieving consensus in networked control systems through examples and theorems.
Networked Control Systems: Laplacian Flow and Heat Equation
Explores Laplacian flow, heat equation analogies, and microgrid networked controllers.
Networked Control Systems: Properties of Laplacian Matrices
Explores Laplacian matrix properties in networked control systems and their relation to graph theory.
Networked Control Systems: Microgrid Controllers and Cybersecurity
Covers microgrid controllers, cybersecurity, consensus-based control, and cybersecurity vulnerabilities in networked control systems.
Networked Control Systems: Laplacian Matrix and Consensus in Continuous Time
Explores the Laplacian matrix properties and consensus in continuous time.
Networked Control Systems
Explores networked control systems, covering current injection, Laplacian flow, consensus states, and balanced digraph design.
Networked Control Systems: Laplacian Operators and Microgrids
Explores Laplacian operators on graphs and the model of DC microgrids.
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