Consensus-based distributed connectivity control in multi-agent systems
This paper addresses a distributed connectivity control problem in networked multi-agent
systems. The system communication topology is controlled through the algebraic …
systems. The system communication topology is controlled through the algebraic …
Topology learning of linear dynamical systems with latent nodes using matrix decomposition
In this article, we present a novel approach to reconstruct the topology of networked linear
dynamical systems with latent nodes. The network is allowed to have directed loops and bi …
dynamical systems with latent nodes. The network is allowed to have directed loops and bi …
Physics informed topology learning in networks of linear dynamical systems
Learning influence pathways in a network of dynamically related processes from
observations is of considerable importance in many disciplines. In this article, influence …
observations is of considerable importance in many disciplines. In this article, influence …
Data-driven identification of a thermal network in multi-zone building
System identification of smart buildings is necessary for their optimal control and application
in demand response. The thermal response of a building around an operating point can be …
in demand response. The thermal response of a building around an operating point can be …
Sparse network identification for consensus discrete-time systems
This paper investigates an identification problem of sparse topology among nodes for
consensus networked control systems. We suppose the system is modeled by a discrete …
consensus networked control systems. We suppose the system is modeled by a discrete …
Network Topology and Causal Structure Recovery in Linear Dynamical Systems
MS Veedu - 2024 - search.proquest.com
Modeling and representing complex systems by a network of interacting agents provide cost-
effective and efficient ways to simulate, design, and test the solutions to real-world problems …
effective and efficient ways to simulate, design, and test the solutions to real-world problems …
Network Topology And Causal Structure Recovery In Linear Dynamical Systems
M Shaikh Veedu - 2024 - conservancy.umn.edu
Modeling and representing complex systems by a network of interacting agents provide cost-
effective and efficient ways to simulate, design, and test the solutions to real-world problems …
effective and efficient ways to simulate, design, and test the solutions to real-world problems …
[图书][B] Representation and Reconstruction of Linear, Time-Invariant Networks
NS Woodbury - 2019 - search.proquest.com
Network reconstruction is the process of recovering a unique structured representation of
some dynamic system using input-output data and some additional knowledge about the …
some dynamic system using input-output data and some additional knowledge about the …
Topology Learning of Linear Dynamical Systems with Latent Nodes using Matrix Decomposition
H Doddi, MV Salapaka - arXiv preprint arXiv:1912.07152, 2019 - arxiv.org
In this article, we present a novel approach to reconstruct the topology of networked linear
dynamical systems with latent nodes. The network is allowed to have directed loops and bi …
dynamical systems with latent nodes. The network is allowed to have directed loops and bi …
Information Processing: Thermodynamics of Computations and Network Inference
S Talukdar - 2018 - search.proquest.com
The present times is seeing a surge in computing due to several applications like smart grid,
autonomous vehicles, social networks and many more directly touching our lives. A key …
autonomous vehicles, social networks and many more directly touching our lives. A key …