Enregistré dans:
| Auteurs principaux: | Sato, Kazuhiro, Terasaki, Shun |
|---|---|
| Format: | Preprint |
| Publié: |
2022
|
| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2205.03032 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Controllability scores of linear time-varying network systems
par: Umezu, Kota, et autres
Publié: (2025)
par: Umezu, Kota, et autres
Publié: (2025)
Infinite-horizon controllability scores for linear time-invariant systems
par: Umezu, Kota, et autres
Publié: (2026)
par: Umezu, Kota, et autres
Publié: (2026)
Relationship Between Controllability Scoring and Optimal Experimental Design
par: Sato, Kazuhiro
Publié: (2026)
par: Sato, Kazuhiro
Publié: (2026)
Target Controllability Scores for Actuation-Constrained Network Intervention
par: Sato, Kazuhiro
Publié: (2025)
par: Sato, Kazuhiro
Publié: (2025)
Task-Dependent Weighted Average Energy Controllability Score for Network Intervention
par: Sato, Kazuhiro
Publié: (2026)
par: Sato, Kazuhiro
Publié: (2026)
Extension of Controllability Score to Infinite-Dimensional Systems
par: Nakabe, Yuito, et autres
Publié: (2025)
par: Nakabe, Yuito, et autres
Publié: (2025)
Uniqueness Analysis of Controllability Scores and Their Application to Brain Networks
par: Sato, Kazuhiro, et autres
Publié: (2024)
par: Sato, Kazuhiro, et autres
Publié: (2024)
Model-Free Design and Analysis of 2DOF PI Controller for Noisy LTI Systems
par: Kiyota, Taiga, et autres
Publié: (2025)
par: Kiyota, Taiga, et autres
Publié: (2025)
Data-Driven Regularized Time-Limited h2 Model Reduction from Noisy Impulse Responses
par: Sakamoto, Hiroki, et autres
Publié: (2026)
par: Sakamoto, Hiroki, et autres
Publié: (2026)
The Nearest Graph Laplacian in Frobenius Norm
par: Sato, Kazuhiro, et autres
Publié: (2024)
par: Sato, Kazuhiro, et autres
Publié: (2024)
Robust model predictive control for large-scale distributed parameter systems under uncertainty
par: Tao, Min, et autres
Publié: (2024)
par: Tao, Min, et autres
Publié: (2024)
Performance bound analysis of linear consensus algorithm on strongly connected graphs using effective resistance and reversiblization
par: Yonaiyama, Takumi, et autres
Publié: (2025)
par: Yonaiyama, Takumi, et autres
Publié: (2025)
NOMADS: Non-Markovian Optimization-based Modeling for Approximate Dynamics with Spatially-homogeneous Memory
par: Anzaki, Ryoji, et autres
Publié: (2024)
par: Anzaki, Ryoji, et autres
Publié: (2024)
Closed-loop training of static output feedback neural network controllers for large systems: A distillation case study
par: Turan, E. M., et autres
Publié: (2024)
par: Turan, E. M., et autres
Publié: (2024)
Fast and memory-efficient optimization for large-scale data-driven predictive control
par: Schmitz, Philipp, et autres
Publié: (2024)
par: Schmitz, Philipp, et autres
Publié: (2024)
Investigating the effect of edge modifications on networked control systems
par: Lindmark, Gustav, et autres
Publié: (2020)
par: Lindmark, Gustav, et autres
Publié: (2020)
Traffic signal optimization in large-scale urban road networks: an adaptive-predictive controller using Ising models
par: Inoue, Daisuke, et autres
Publié: (2024)
par: Inoue, Daisuke, et autres
Publié: (2024)
Constraint-adaptive MPC for large-scale systems: Satisfying state constraints without imposing them
par: Nouwens, S. A. N., et autres
Publié: (2024)
par: Nouwens, S. A. N., et autres
Publié: (2024)
Model selection for risk analysis of wastewater networks
par: Dunton, Aaron
Publié: (2023)
par: Dunton, Aaron
Publié: (2023)
Neural network based control of unknown nonlinear systems via contraction analysis
par: Yin, Hao, et autres
Publié: (2025)
par: Yin, Hao, et autres
Publié: (2025)
Stabilization of singularly perturbed networked control systems over a single channel
par: Wang, Weixuan, et autres
Publié: (2025)
par: Wang, Weixuan, et autres
Publié: (2025)
Accurately modeling long-term storage with minimum representative hours in large-scale renewable energy systems
par: Mannhardt, Jacob, et autres
Publié: (2025)
par: Mannhardt, Jacob, et autres
Publié: (2025)
Model reduction, machine learning based global optimisation for large-scale steady state nonlinear systems
par: Tao, Min, et autres
Publié: (2024)
par: Tao, Min, et autres
Publié: (2024)
Curse of scale-freeness: Intractability of large-scale optimization with multi-start methods
par: Masuyama, Hiroyuki, et autres
Publié: (2022)
par: Masuyama, Hiroyuki, et autres
Publié: (2022)
Optimization of inventory and capacity in large-scale assembly systems using extreme-value theory
par: Meijer, Mirjam S., et autres
Publié: (2021)
par: Meijer, Mirjam S., et autres
Publié: (2021)
Optimal selection of the most informative nodes for a noisy DeGroot model with stubborn agents
par: Raineri, Roberta, et autres
Publié: (2025)
par: Raineri, Roberta, et autres
Publié: (2025)
Data-driven h2 model reduction for linear discrete-time systems
par: Sakamoto, Hiroki, et autres
Publié: (2024)
par: Sakamoto, Hiroki, et autres
Publié: (2024)
Hierarchical clustering and dimensional reduction for optimal control of large-scale agent-based models
par: Monti, Angela, et autres
Publié: (2025)
par: Monti, Angela, et autres
Publié: (2025)
Beyond adaptive gradient: Fast-Controlled Minibatch Algorithm for large-scale optimization
par: Coppola, Corrado, et autres
Publié: (2024)
par: Coppola, Corrado, et autres
Publié: (2024)
A decomposition-based approach for large-scale pickup and delivery problems
par: Hiermann, G., et autres
Publié: (2024)
par: Hiermann, G., et autres
Publié: (2024)
A method for optimizing the structure of the software and hardware complex of a distributed process control system for large industrial enterprises
par: Zakirzyanov, Ruslan
Publié: (2026)
par: Zakirzyanov, Ruslan
Publié: (2026)
Variational integrators for a new Lagrangian approach to control affine systems with a quadratic Lagrange term
par: Konopik, Michael, et autres
Publié: (2025)
par: Konopik, Michael, et autres
Publié: (2025)
Generic controllability of equivariant systems and applications to particle systems and neural networks
par: Agrachev, Andrei, et autres
Publié: (2024)
par: Agrachev, Andrei, et autres
Publié: (2024)
A neural network-based approach to hybrid systems identification for control
par: Fabiani, Filippo, et autres
Publié: (2024)
par: Fabiani, Filippo, et autres
Publié: (2024)
Benders decomposition for the large-scale probabilistic set covering problem
par: Liang, Jie, et autres
Publié: (2025)
par: Liang, Jie, et autres
Publié: (2025)
Two-scale neural networks for optimal control of linear convection-dominated equations
par: Liu, Sijing, et autres
Publié: (2026)
par: Liu, Sijing, et autres
Publié: (2026)
Computational acceleration strategies for large-scale energy system optimization: a comparative study of GPU-accelerated and distributed-memory solvers
par: Zittel, Janina, et autres
Publié: (2026)
par: Zittel, Janina, et autres
Publié: (2026)
Control sets of linear control systems on $\R^2$. The real case
par: Ayala, Victor, et autres
Publié: (2024)
par: Ayala, Victor, et autres
Publié: (2024)
A mixed-integer framework for analyzing neural network-based controllers for piecewise affine systems with bounded disturbances
par: Teichrib, Dieter, et autres
Publié: (2025)
par: Teichrib, Dieter, et autres
Publié: (2025)
Efficient model predictive control for nonlinear systems modelled by deep neural networks
par: Lan, Jianglin
Publié: (2024)
par: Lan, Jianglin
Publié: (2024)
Documents similaires
-
Controllability scores of linear time-varying network systems
par: Umezu, Kota, et autres
Publié: (2025) -
Infinite-horizon controllability scores for linear time-invariant systems
par: Umezu, Kota, et autres
Publié: (2026) -
Relationship Between Controllability Scoring and Optimal Experimental Design
par: Sato, Kazuhiro
Publié: (2026) -
Target Controllability Scores for Actuation-Constrained Network Intervention
par: Sato, Kazuhiro
Publié: (2025) -
Task-Dependent Weighted Average Energy Controllability Score for Network Intervention
par: Sato, Kazuhiro
Publié: (2026)