Cover Image

Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shin, Sungho, Lin, Yiheng, Qu, Guannan, Wierman, Adam, Anitescu, Mihai
Format:	Preprint
Published:	2022
Subjects:	Optimization and Control Machine Learning Systems and Control Dynamical Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control
by: Na, Sen, et al.
Published: (2020)

Near-Optimal Performance of Stochastic Model Predictive Control
by: Shin, Sungho, et al.
Published: (2022)

Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions
by: Li, Tongxin, et al.
Published: (2021)

Online Actuator Selection and Controller Design for Linear Quadratic Regulation with Unknown System Model
by: Ye, Lintao, et al.
Published: (2022)

Safe and Near-Optimal Control with Online Dynamics Learning
by: Prajapat, Manish, et al.
Published: (2025)

Distributed Truncated Predictive Control for Networked Systems under Uncertainty: Stability and Near-Optimality Guarantee
by: Xu, Eric, et al.
Published: (2023)

Stability-Certified Learning of Control Systems with Quadratic Nonlinearities
by: Duff, Igor Pontes, et al.
Published: (2024)

Safe and Robust Domains of Attraction for Discrete-Time Systems: A Set-Based Characterization and Certifiable Neural Network Estimation
by: Serry, Mohamed, et al.
Published: (2026)

Online Optimization and Ambiguity-based Learning of Distributionally Uncertain Dynamic Systems
by: Li, Dan, et al.
Published: (2021)

Tsallis Entropy Regularization for Linearly Solvable MDP and Linear Quadratic Regulator
by: Hashizume, Yota, et al.
Published: (2024)

Learning Decentralized Linear Quadratic Regulators with $\sqrt{T}$ Regret
by: Ye, Lintao, et al.
Published: (2022)

Safely Learning Dynamical Systems
by: Ahmadi, Amir Ali, et al.
Published: (2023)

Identifiability of Differential-Algebraic Systems
by: Montanari, Arthur N., et al.
Published: (2024)

Learning Dissipative Neural Dynamical Systems
by: Xu, Yuezhu, et al.
Published: (2023)

Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems
by: Bhan, Luke, et al.
Published: (2024)

Sample Complexity of Linear Quadratic Regulator Without Initial Stability
by: Moghaddam, Amirreza Neshaei, et al.
Published: (2025)

Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning Lens
by: Moghaddam, Amirreza Neshaei, et al.
Published: (2024)

Model-Free Learning for the Linear Quadratic Regulator over Rate-Limited Channels
by: Ye, Lintao, et al.
Published: (2024)

Analysis of Thompson Sampling for Controlling Unknown Linear Diffusion Processes
by: Faradonbeh, Mohamad Kazem Shirani, et al.
Published: (2022)

A Convex Optimization Approach to Compute Trapping Regions for Lossless Quadratic Systems
by: Liao, Shih-Chi, et al.
Published: (2024)

Tradeoffs between convergence rate and noise amplification for momentum-based accelerated optimization algorithms
by: Mohammadi, Hesameddin, et al.
Published: (2022)

SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
by: Zolman, Nicholas, et al.
Published: (2024)

Data-driven Nonlinear Model Reduction using Koopman Theory: Integrated Control Form and NMPC Case Study
by: Schulze, Jan C., et al.
Published: (2024)

Stability properties of gradient flow dynamics for the symmetric low-rank matrix factorization problem
by: Mohammadi, Hesameddin, et al.
Published: (2024)

Observability conditions for neural state-space models with eigenvalues and their roots of unity
by: Gracyk, Andrew
Published: (2025)

From exponential to finite/fixed-time stability: Applications to optimization
by: Ozaslan, Ibrahim K., et al.
Published: (2024)

Near-optimal Closed-loop Method via Lyapunov Damping for Convex Optimization
by: Maier, Severin, et al.
Published: (2023)

Thinking Beyond Visibility: A Near-Optimal Policy Framework for Locally Interdependent Multi-Agent MDPs
by: DeWeese, Alex, et al.
Published: (2025)

Distributed Optimization via Energy Conservation Laws in Dilated Coordinates
by: Baranwal, Mayank, et al.
Published: (2024)

Dampening parameter distributional shifts under robust control and gain scheduling
by: Ramadan, Mohammad, et al.
Published: (2024)

Control of Medical Digital Twins with Artificial Neural Networks
by: Böttcher, Lucas, et al.
Published: (2024)

Overlapping Schwarz Scheme for Linear-Quadratic Programs in Continuous Time
by: Zhao, Hongli, et al.
Published: (2025)

Nonlinear Model Order Reduction of Dynamical Systems in Process Engineering: Review and Comparison
by: Schulze, Jan C., et al.
Published: (2025)

Interval Observer Design Using Observability Decomposition for Detectable Linear Systems
by: Tran, Gia Quoc Bao, et al.
Published: (2026)

Optimal Centered Active Excitation in Linear System Identification
by: Ito, Kaito, et al.
Published: (2026)

Mutual Information Optimal Control of Discrete-Time Linear Systems
by: Enami, Shoju, et al.
Published: (2025)

On Policy Stochasticity in Mutual Information Optimal Control of Linear Systems
by: Enami, Shoju, et al.
Published: (2025)

CLT-Optimal Parameter Error Bounds for Linear System Identification
by: Zhou, Yichen, et al.
Published: (2026)

Nonlinear Dynamics In Optimization Landscape of Shallow Neural Networks with Tunable Leaky ReLU
by: Liu, Jingzhou
Published: (2025)

Optimality of Linear Policies in Distributionally Robust Linear Quadratic Control
by: Taşkesen, Bahar, et al.
Published: (2025)