Guardado en:
| Autores principales: | Zheng, Tengjie, Mei, Jilan, Wu, Di, Cheng, Lin, Gong, Shengping |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2510.15390 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Recursive Gaussian Process State Space Model
por: Zheng, Tengjie, et al.
Publicado: (2024)
por: Zheng, Tengjie, et al.
Publicado: (2024)
Sparse Kalman Identification for Partially Observable Systems via Adaptive Bayesian Learning
por: Mei, Jilan, et al.
Publicado: (2025)
por: Mei, Jilan, et al.
Publicado: (2025)
Confidence-Aware Learning Optimal Terminal Guidance via Gaussian Process Regression
por: Wang, Han, et al.
Publicado: (2025)
por: Wang, Han, et al.
Publicado: (2025)
Learning-Based Stable Optimal Control for Infinite-Time Nonlinear Regulation Problems
por: Wang, Han, et al.
Publicado: (2025)
por: Wang, Han, et al.
Publicado: (2025)
State-Free Inference of State-Space Models: The Transfer Function Approach
por: Parnichkun, Rom N., et al.
Publicado: (2024)
por: Parnichkun, Rom N., et al.
Publicado: (2024)
A Deep State-Space Model Compression Method using Upper Bound on Output Error
por: Sakamoto, Hiroki, et al.
Publicado: (2025)
por: Sakamoto, Hiroki, et al.
Publicado: (2025)
Solar-Sail Deep Space Trajectory Optimization Using Successive Convex Programming
por: Song, Yu, et al.
Publicado: (2019)
por: Song, Yu, et al.
Publicado: (2019)
Benchmarking Recursive-Collapse Warning Claims Under Matched False-Positive Control
por: Mullett, David
Publicado: (2026)
por: Mullett, David
Publicado: (2026)
Distributed Model Predictive Control for Heterogeneous Platoons with Affine Spacing Policies and Arbitrary Communication Topologies
por: Shaham, Michael H., et al.
Publicado: (2024)
por: Shaham, Michael H., et al.
Publicado: (2024)
Online Learning of Kalman Filtering: From Output to State Estimation
por: Ye, Lintao, et al.
Publicado: (2026)
por: Ye, Lintao, et al.
Publicado: (2026)
Layer-Adaptive State Pruning for Deep State Space Models
por: Gwak, Minseon, et al.
Publicado: (2024)
por: Gwak, Minseon, et al.
Publicado: (2024)
Fine-Tuned Language Models as Space Systems Controllers
por: Zucchelli, Enrico M., et al.
Publicado: (2025)
por: Zucchelli, Enrico M., et al.
Publicado: (2025)
Space-Filling Regularization for Robust and Interpretable Nonlinear State Space Models
por: Klein, Hermann, et al.
Publicado: (2025)
por: Klein, Hermann, et al.
Publicado: (2025)
Model-Free Output Feedback Stabilization via Policy Gradient Methods
por: Zhang, Ankang, et al.
Publicado: (2026)
por: Zhang, Ankang, et al.
Publicado: (2026)
Adversarial Robustness of Deep State Space Models for Forecasting
por: Anand, Sribalaji C., et al.
Publicado: (2026)
por: Anand, Sribalaji C., et al.
Publicado: (2026)
Uncertainty Quantification of Data-Driven Output Predictors in the Output Error Setting
por: Kaviani, Farzan, et al.
Publicado: (2024)
por: Kaviani, Farzan, et al.
Publicado: (2024)
AIRE-Prune: Asymptotic Impulse-Response Energy for State Pruning in State Space Models
por: Padhy, Apurba Prasad, et al.
Publicado: (2026)
por: Padhy, Apurba Prasad, et al.
Publicado: (2026)
Geometric SSM: LTI State Space Models for Selective Tasks
por: Casti, Umberto, et al.
Publicado: (2025)
por: Casti, Umberto, et al.
Publicado: (2025)
Systolic Array-based Accelerator for Structured State-Space Models
por: Raja, Shiva, et al.
Publicado: (2025)
por: Raja, Shiva, et al.
Publicado: (2025)
Learning Surrogate LPV State-Space Models with Uncertainty Quantification
por: Olucha, E. Javier, et al.
Publicado: (2026)
por: Olucha, E. Javier, et al.
Publicado: (2026)
Revolution-Spaced Output-Feedback Model Predictive Control for Station Keeping on Near-Rectilinear Halo Orbits
por: Shimane, Yuri, et al.
Publicado: (2025)
por: Shimane, Yuri, et al.
Publicado: (2025)
Robust Cooperative Output Regulation of Discrete-Time Heterogeneous Multi-Agent Systems
por: Gul, Kursad Metehan, et al.
Publicado: (2026)
por: Gul, Kursad Metehan, et al.
Publicado: (2026)
Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
por: Yang, Lujie, et al.
Publicado: (2024)
por: Yang, Lujie, et al.
Publicado: (2024)
Steady-State Error Compensation for Reinforcement Learning with Quadratic Rewards
por: Wang, Liyao, et al.
Publicado: (2024)
por: Wang, Liyao, et al.
Publicado: (2024)
Time-Varying Deep State Space Models for Sequences with Switching Dynamics
por: Karilanova, Sanja, et al.
Publicado: (2026)
por: Karilanova, Sanja, et al.
Publicado: (2026)
Learning Stable and Robust Linear Parameter-Varying State-Space Models
por: Verhoek, Chris, et al.
Publicado: (2023)
por: Verhoek, Chris, et al.
Publicado: (2023)
Recursively Feasible Probabilistic Safe Online Learning with Control Barrier Functions
por: Castañeda, Fernando, et al.
Publicado: (2022)
por: Castañeda, Fernando, et al.
Publicado: (2022)
Recursive Experiment Design for Closed-Loop Identification with Output Perturbation Limits
por: Hu, Jingwei, et al.
Publicado: (2025)
por: Hu, Jingwei, et al.
Publicado: (2025)
A Kolmogorov-Arnold Network for Interpretable Cyberattack Detection in AGC Systems
por: Jilan, Jehad, et al.
Publicado: (2025)
por: Jilan, Jehad, et al.
Publicado: (2025)
L1 Adaptive Output Feedback for Non-square Systems with Arbitrary Relative Degree
por: Lee, Hanmin, et al.
Publicado: (2019)
por: Lee, Hanmin, et al.
Publicado: (2019)
Neural Substitute Solver for Efficient Edge Inference of Power Electronic Hybrid Dynamics
por: Zheng, Jialin, et al.
Publicado: (2025)
por: Zheng, Jialin, et al.
Publicado: (2025)
Sparse Mamba: Introducing Controllability, Observability, And Stability To Structural State Space Models
por: Hamdan, Emadeldeen, et al.
Publicado: (2024)
por: Hamdan, Emadeldeen, et al.
Publicado: (2024)
Koopman Data-Driven Predictive Control with Robust Stability and Recursive Feasibility Guarantees
por: de Jong, Thomas, et al.
Publicado: (2024)
por: de Jong, Thomas, et al.
Publicado: (2024)
Inference and Learning of Nonlinear LFR State-Space Models
por: Floren, Merijn, et al.
Publicado: (2025)
por: Floren, Merijn, et al.
Publicado: (2025)
Predictability Enables Parallelization of Nonlinear State Space Models
por: Gonzalez, Xavier, et al.
Publicado: (2025)
por: Gonzalez, Xavier, et al.
Publicado: (2025)
Learning Dynamics under Environmental Constraints via Measurement-Induced Bundle Structures
por: Zheng, Dongzhe, et al.
Publicado: (2025)
por: Zheng, Dongzhe, et al.
Publicado: (2025)
Parameter Optimization in Trajectory Planning via Differentiable Convex Programming
por: Xu, Ziqi, et al.
Publicado: (2025)
por: Xu, Ziqi, et al.
Publicado: (2025)
Prescribed-time Cooperative Output Regulation of Linear Heterogeneous Multi-agent Systems
por: Zuo, Gewei, et al.
Publicado: (2024)
por: Zuo, Gewei, et al.
Publicado: (2024)
GMKF: Generalized Moment Kalman Filter for Polynomial Systems with Arbitrary Noise
por: Teng, Sangli, et al.
Publicado: (2024)
por: Teng, Sangli, et al.
Publicado: (2024)
Distributionally Robust Regret Optimal Control Under Moment-Based Ambiguity Sets
por: Taha, Feras Al, et al.
Publicado: (2025)
por: Taha, Feras Al, et al.
Publicado: (2025)
Ejemplares similares
-
Recursive Gaussian Process State Space Model
por: Zheng, Tengjie, et al.
Publicado: (2024) -
Sparse Kalman Identification for Partially Observable Systems via Adaptive Bayesian Learning
por: Mei, Jilan, et al.
Publicado: (2025) -
Confidence-Aware Learning Optimal Terminal Guidance via Gaussian Process Regression
por: Wang, Han, et al.
Publicado: (2025) -
Learning-Based Stable Optimal Control for Infinite-Time Nonlinear Regulation Problems
por: Wang, Han, et al.
Publicado: (2025) -
State-Free Inference of State-Space Models: The Transfer Function Approach
por: Parnichkun, Rom N., et al.
Publicado: (2024)