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Found 10 papers, 3 papers with code
Structured Deep Neural Networks-Based Backstepping Trajectory Tracking Control for Lagrangian Systems
In addition, improved control performance can be achieved by further optimizing neural network parameters.
Autoregressive GNN-ODE GRU Model for Network Dynamics
In this paper, we propose an Autoregressive GNN-ODE GRU Model (AGOG) to learn and capture the continuous network dynamics and realize predictions of node states at an arbitrary time in a data-driven manner.
Unsignalized Intersection Management Strategy for Mixed Autonomy Traffic Streams
Combined with the designed vehicle planning and control algorithm, the unsignalized intersection management strategy consists of two parts: the heuristic priority queues based right of way allocation (HPQ) algorithm, and the vehicle planning and control algorithm.
Controllability of Multilayer Networked Sampled-data Systems
This paper explores the state controllability of multilayer networked sampled-data systems with inter-layer couplings, where zero-order holders (ZOHs) are on the control and transmission channels.
Controllability of Networked Sampled-data Systems
The controllability of networked sampled-data systems with zero-order holders on the control and transmission channels is explored, where single- and multi-rate sampling patterns are considered, respectively.
Investigating and Modeling the Dynamics of Long Ties
Long ties, the social ties that bridge different communities, are widely believed to play crucial roles in spreading novel information in social networks.
Leader-Driven Opinion Dynamics in Signed Social Networks With Asynchronous Trust/Distrust Level Evolution
Trust and distrust are common in the opinion interactions among agents in social networks, and they are described by the edges with positive and negative weights in the signed digraph, respectively.
Go viral or go broadcast? Characterizing the virality and growth of cascades
Quantifying the virality of cascades is an important question across disciplines such as the transmission of disease, the spread of information and the diffusion of innovations.
Physics and Society Social and Information Networks
Approximate Computational Approaches for Bayesian Sensor Placement in High Dimensions
Then, sensors are placed where highest mutual information (lower bound) is achieved and QoI is inferred via Bayes rule given sensor measurements.
Feedback Control of Real-Time Display Advertising
In this paper, we propose a feedback control mechanism for RTB which helps advertisers dynamically adjust the bids to effectively control the KPIs, e. g., the auction winning ratio and the effective cost per click.
Computer Science and Game Theory Systems and Control
