Image de couverture de livre

Mean Field Control by Stochastic Koopman Operator via a Spectral Method

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhao, Yuhan, Chen, Juntao, Lu, Yingdong, Zhu, Quanyan
Format:	Preprint
Publié:	2024
Sujets:	Optimization and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Polynomial Parametric Koopman Operators for Stochastic MPC
par: Iliakis, Efstathios, et autres
Publié: (2026)

Mean-Field Stochastic Linear-Quadratic Optimal Controls: Roles of Expectation and Conditional Expectation Operators
par: Wang, Hanxiao, et autres
Publié: (2025)

Point Convergence Analysis of the Accelerated Gradient Method for Multiobjective Optimization: Continuous and Discrete
par: Yin, Yingdong
Publié: (2025)

Dynamic Information Manipulation Game
par: Liu, Shutian, et autres
Publié: (2023)

A Data-Driven Prescribed-Time Control Framework via Koopman Operator and Adaptive Backstepping
par: Wu, Yue
Publié: (2025)

Time-certified Input-constrained NMPC via Koopman Operator
par: Wu, Liang, et autres
Publié: (2024)

A Global Stochastic Maximum Principle for Mean-Field Forward-Backward Stochastic Control Systems with Quadratic Generators
par: Buckdahn, Rainer, et autres
Publié: (2024)

A Games-in-Games Approach to Mosaic Command and Control Design of Dynamic Network-of-Networks for Secure and Resilient Multi-Domain Operations
par: Chen, Juntao, et autres
Publié: (2019)

Optimality Deviation using the Koopman Operator
par: Lin, Yicheng, et autres
Publié: (2025)

Least-Squares Multi-Step Koopman Operator Learning for Model Predictive Control
par: Wu, Liang, et autres
Publié: (2026)

Integrated Cyber-Physical Resiliency for Power Grids under IoT-Enabled Dynamic Botnet Attacks
par: Zhao, Yuhan, et autres
Publié: (2024)

Model Predictive Control of Nonlinear Dynamics Using Online Adaptive Koopman Operators
par: Uchida, Daisuke, et autres
Publié: (2024)

Data-driven Koopman Operator-based Prediction and Control Using Model Averaging
par: Uchida, Daisuke, et autres
Publié: (2024)

Mean-Field Generalisation Bounds for Learning Controls in Stochastic Environments
par: Baros, Boris, et autres
Publié: (2025)

Multiobjective Balanced Gradient Flow: A Dynamical Perspective on a Class of Optimization Algorithms
par: Yin, Yingdong
Publié: (2025)

Fare Game: A Mean Field Model of Stochastic Intensity Control in Dynamic Ticket Pricing
par: Aydin, Burak, et autres
Publié: (2025)

Time Scale Separation and Hierarchical Control with the Koopman Operator
par: Bakker, Craig
Publié: (2025)

Two Roads to Koopman Operator Theory for Control: Infinite Input Sequences and Operator Families
par: Haseli, Masih, et autres
Publié: (2025)

Optimal Control Operator Perspective and a Neural Adaptive Spectral Method
par: Feng, Mingquan, et autres
Publié: (2024)

A Unified Variational Design of Predictive Mirror Descent in Convex Games under Stochastic Feedback
par: Pan, Yunian, et autres
Publié: (2026)

\(H_2/H_\infty\) Control for Continuous-Time Mean-Field Stochastic Systems with Affine Terms
par: Fang, Xuling, et autres
Publié: (2025)

Deep Galerkin Method for Mean Field Control Problem
par: Sun, Jingruo
Publié: (2022)

A Bilevel Optimization Method for Inverse Mean-Field Games
par: Yu, Jiajia, et autres
Publié: (2024)

Multiobjective Accelerated Gradient-like Flow with Asymptotic Vanishing Normalized Gradient
par: Yin, Yingdong
Publié: (2025)

Fast Convergence of Multiobjective Inertial Gradient Systems with Time Scaling
par: Yin, Yingdong
Publié: (2025)

Occupation-Measure Mean-Field Control: Optimization over Measures and Frank-Wolfe Methods
par: Yu, Di, et autres
Publié: (2026)

Interpreting Reinforcement Learning Model Behavior via Koopman with Control
par: Redman, William T.
Publié: (2026)

Mean-Field Control for Diffusion Aggregation system with Coulomb Interaction
par: Chen, Li, et autres
Publié: (2024)

The Mean-Field Limit of Online Stochastic Vector Balancing
par: Fiedler, Christian, et autres
Publié: (2026)

A Spectral Perspective on Stochastic Control Barrier Functions
par: Jang, Inkyu, et autres
Publié: (2026)

Linear-Quadratic Mean-Field Game for Stochastic Systems with Partial Observation
par: Li, Min, et autres
Publié: (2024)

Optimality Robustness in Koopman-Based Control
par: Lin, Yicheng, et autres
Publié: (2026)

Mean Field Games of Control and Cryptocurrency Mining
par: Garcia, Nicolas, et autres
Publié: (2025)

A Mean-Field Analysis of Neural Stochastic Gradient Descent-Ascent for Functional Minimax Optimization
par: Zhu, Yuchen, et autres
Publié: (2024)

Disentangling Resilience from Robustness: Contextual Dualism, Interactionism, and Game-Theoretic Paradigms
par: Zhu, Quanyan, et autres
Publié: (2024)

Learning with Linear Function Approximations in Mean-Field Control
par: Bayraktar, Erhan, et autres
Publié: (2024)

Mean Field Game and Control for Switching Hybrid Systems
par: C., Tejaswi K., et autres
Publié: (2024)

Policy Iteration Reinforcement Learning Method for Continuous-Time Linear-Quadratic Mean-Field Control Problems
par: Li, Na, et autres
Publié: (2023)

Extracting Koopman Operators for Prediction and Control of Non-linear Dynamics Using Two-stage Learning and Oblique Projections
par: Uchida, Daisuke, et autres
Publié: (2023)

Koopman-Hopf Hamilton-Jacobi Reachability and Control
par: Sharpless, Will, et autres
Publié: (2023)