Image de couverture de livre

Circular Microalgae-Based Carbon Control for Net Zero

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zocco, Federico, García, Joan, Haddad, Wassim M.
Format:	Preprint
Publié:	2025
Sujets:	Dynamical Systems Machine Learning 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

CarboNet: A Finite-Time Combustion-Tolerant Compartmental Network for Tropospheric Carbon Control
par: Zocco, Federico, et autres
Publié: (2025)

Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems
par: Bhan, Luke, et autres
Publié: (2024)

On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control
par: Na, Sen, et autres
Publié: (2020)

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

SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
par: Zolman, Nicholas, et autres
Publié: (2024)

Stability-Certified Learning of Control Systems with Quadratic Nonlinearities
par: Duff, Igor Pontes, et autres
Publié: (2024)

Model-Based Reinforcement Learning Control of Reaction-Diffusion Problems
par: Schenk, Christina, et autres
Publié: (2024)

Safe and Robust Domains of Attraction for Discrete-Time Systems: A Set-Based Characterization and Certifiable Neural Network Estimation
par: Serry, Mohamed, et autres
Publié: (2026)

Safe and Near-Optimal Control with Online Dynamics Learning
par: Prajapat, Manish, et autres
Publié: (2025)

Reservoir Predictive Path Integral Control for Unknown Nonlinear Dynamics
par: Inoue, Daisuke, et autres
Publié: (2025)

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

Stability properties of gradient flow dynamics for the symmetric low-rank matrix factorization problem
par: Mohammadi, Hesameddin, et autres
Publié: (2024)

Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems
par: Shin, Sungho, et autres
Publié: (2022)

Learning Dissipative Neural Dynamical Systems
par: Xu, Yuezhu, et autres
Publié: (2023)

Tradeoffs between convergence rate and noise amplification for momentum-based accelerated optimization algorithms
par: Mohammadi, Hesameddin, et autres
Publié: (2022)

Safely Learning Dynamical Systems
par: Ahmadi, Amir Ali, et autres
Publié: (2023)

From exponential to finite/fixed-time stability: Applications to optimization
par: Ozaslan, Ibrahim K., et autres
Publié: (2024)

Identifiability of Differential-Algebraic Systems
par: Montanari, Arthur N., et autres
Publié: (2024)

Control of Medical Digital Twins with Artificial Neural Networks
par: Böttcher, Lucas, et autres
Publié: (2024)

Memorization and Regularization in Generative Diffusion Models
par: Baptista, Ricardo, et autres
Publié: (2025)

Analysis of Thompson Sampling for Controlling Unknown Linear Diffusion Processes
par: Faradonbeh, Mohamad Kazem Shirani, et autres
Publié: (2022)

Adaptive Neural-Operator Backstepping Control of a Benchmark Hyperbolic PDE
par: Lamarque, Maxence, et autres
Publié: (2024)

Convergence of optimizers implies eigenvalues filtering at equilibrium
par: Bolte, Jerome, et autres
Publié: (2025)

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

Learning Spatio-Temporal Dynamics via Operator-Valued RKHS and Kernel Koopman Methods
par: Withanachchi, Mahishanka
Publié: (2025)

Regularity and Stability Properties of Selective SSMs with Discontinuous Gating
par: Zubić, Nikola, et autres
Publié: (2025)

Momentum Further Constrains Sharpness at the Edge of Stochastic Stability
par: Andreyev, Arseniy, et autres
Publié: (2026)

Near-optimal Closed-loop Method via Lyapunov Damping for Convex Optimization
par: Maier, Severin, et autres
Publié: (2023)

Synchronization on circles and spheres with nonlinear interactions
par: Criscitiello, Christopher, et autres
Publié: (2024)

Too Sharp, Too Sure: When Calibration Follows Curvature
par: Morosini, Alessandro, et autres
Publié: (2026)

Zeroth-Order Optimization at the Edge of Stability
par: Song, Minhak, et autres
Publié: (2026)

The Global Empirical NTK: Self-Referential Bias and Dimensionality of Gradient Descent Learning
par: Hazelden, James, et autres
Publié: (2026)

Kernel Sum of Squares for Data Adapted Kernel Learning of Dynamical Systems from Data: A global optimization approach
par: Lengyel, Daniel, et autres
Publié: (2024)

Exact Computation of LTI Reach Set from Integrator Reach Set with Bounded Input
par: Haddad, Shadi, et autres
Publié: (2023)

Online Optimization and Ambiguity-based Learning of Distributionally Uncertain Dynamic Systems
par: Li, Dan, et autres
Publié: (2021)

Dynamic robotic cloth folding with efficient Koopman operator-based model predictive control
par: Caldarelli, Edoardo, et autres
Publié: (2026)

Evaluating the design space of diffusion-based generative models
par: Wang, Yuqing, et autres
Publié: (2024)

Dynamical Measure Transport and Neural PDE Solvers for Sampling
par: Sun, Jingtong, et autres
Publié: (2024)

Nonlinear Model Order Reduction of Dynamical Systems in Process Engineering: Review and Comparison
par: Schulze, Jan C., et autres
Publié: (2025)

Gain Scheduling with a Neural Operator for a Transport PDE with Nonlinear Recirculation
par: Lamarque, Maxence, et autres
Publié: (2024)