Image de couverture de livre

A Bayesian Interpretation of the Internal Model Principle

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Baltieri, Manuel, Biehl, Martin, Capucci, Matteo, Virgo, Nathaniel
Format:	Preprint
Publié:	2025
Sujets:	Optimization and Control Systems and Control Category Theory
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A "good regulator theorem" for embodied agents
par: Virgo, Nathaniel, et autres
Publié: (2025)

Modeling Model Predictive Control: A Category Theoretic Framework for Multistage Control Problems
par: Hanks, Tyler, et autres
Publié: (2023)

A Compositional Framework for First-Order Optimization
par: Hanks, Tyler, et autres
Publié: (2024)

Convex Duality Made Difficult
par: Rischel, Eigil Fjeldgren
Publié: (2026)

Compositional System Dynamics: The Higher Mathematics Underlying System Dynamics Diagrams & Practice
par: Li, Xiaoyan, et autres
Publié: (2025)

Composable Uncertainty in Symmetric Monoidal Categories for Design Problems (Extended Version)
par: Furter, Marius, et autres
Publié: (2025)

Hidden Markov Models and the Bayes Filter in Categorical Probability
par: Fritz, Tobias, et autres
Publié: (2024)

Self-Identifying Internal Model-Based Online Optimization
par: van Weerelt, Wouter J. A., et autres
Publié: (2025)

Formalising the intentional stance 2: a coinductive approach
par: McGregor, Simon, et autres
Publié: (2025)

Formalising the intentional stance 1: attributing goals and beliefs to stochastic processes
par: McGregor, Simon, et autres
Publié: (2024)

Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning
par: Bakirtzis, Georgios, et autres
Publié: (2024)

Least Squares Model Reduction: A Two-Stage System-Theoretic Interpretation
par: Padoan, Alberto
Publié: (2025)

Time-Reversal of Stochastic Maximum Principle
par: Taghvaei, Amirhossein
Publié: (2024)

On the Internal Stability of Diffusively Coupled Multi-Agent Systems and the Dangers of Cancel Culture
par: Barkai, Gal, et autres
Publié: (2022)

A Bayesian Perspective on the Data-Driven LQR
par: Schwaller, Thierry, et autres
Publié: (2026)

Communication over LQG Control Systems: A Convex Optimization Approach to Capacity
par: Rips, Aharon, et autres
Publié: (2025)

Semantic Communication in Multi-team Dynamic Games: A Mean Field Perspective
par: Aggarwal, Shubham, et autres
Publié: (2024)

Data-driven approximation of regions of attraction via an LP-based selection of PWA Lyapunov functions
par: Khattabi, Oumayma, et autres
Publié: (2026)

A Bundle-based Augmented Lagrangian Framework: Algorithm, Convergence, and Primal-dual Principles
par: Liao, Feng-Yi, et autres
Publié: (2025)

Interpretable Gradient Descent for Kalman Gain
par: Belabbas, M. A., et autres
Publié: (2025)

Categorical semantics of compositional reinforcement learning
par: Bakirtzis, Georgios, et autres
Publié: (2022)

An Optimal Control Interpretation of Augmented Distributed Optimization Algorithms
par: Hallinan, Liam, et autres
Publié: (2025)

Geometry of Distance Protection
par: Taylor, Josh A., et autres
Publié: (2025)

Rate-cost tradeoffs in continuous-time control with a biomolecular application
par: Nakahira, Yorie, et autres
Publié: (2025)

An Information-Theoretic Analysis of Discrete-Time Control and Filtering Limitations by the I-MMSE Relationships
par: Wan, Neng, et autres
Publié: (2023)

Stabilizing a linear system using phone calls when time is information
par: Khojasteh, Mohammad Javad, et autres
Publié: (2018)

Distributed adaptive estimation for stochastic large regression models
par: Gan, Die, et autres
Publié: (2026)

Rate-Cost Tradeoffs in Nonlinear Control
par: Atay, Eray Unsal, et autres
Publié: (2026)

Spectral Graph Theoretic Methods for Enhancing Network Robustness in Robot Localization
par: Somisetty, Neelkamal, et autres
Publié: (2024)

The optimizing mode classification stabilization of sampled stochastic jump systems via an improved hill-climbing algorithm based on Q-learning
par: Wang, Guoliang
Publié: (2024)

Towards a Compositional Framework for Convex Analysis (with Applications to Probability Theory)
par: Stein, Dario, et autres
Publié: (2023)

Distributed Offloading in Multi-Access Edge Computing Systems: A Mean-Field Perspective
par: Aggarwal, Shubham, et autres
Publié: (2025)

Converse Lyapunov Results for Switched Systems with Lower and Upper Bounds on Switching Intervals
par: Della Rossa, Matteo
Publié: (2024)

Feedback stabilization of switched systems under arbitrary switching: A convex characterization
par: Lima, Thiago Alves, et autres
Publié: (2025)

Model Predictive Path Planning in Navier-Stokes Flow with POD-Based Reduced-Order Models
par: Waterman, Adam, et autres
Publié: (2025)

A Framework for Time-Varying Optimization via Derivative Estimation
par: Marchi, Matteo, et autres
Publié: (2024)

Convex computation of regions of attraction from data using Sums-of-Squares programming
par: Khattabi, Oumayma, et autres
Publié: (2025)

Multiparametric continuous-time optimal control via Pontryagin's Maximum Principle: explicit solutions and comparisons with discrete-time formulations
par: Lamakani, Lida, et autres
Publié: (2026)

Inferring System and Optimal Control Parameters of Closed-Loop Systems from Partial Observations
par: Geadah, Victor, et autres
Publié: (2025)

Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces
par: Duan, Yaqi, et autres
Publié: (2024)