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Main Authors:	Klein, Hermann, Herkersdorf, Max Heinz, Nelles, Oliver
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Systems and Control
Online Access:	https://arxiv.org/abs/2507.07792
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Optimized Excitation Signal Design Employing Receding Horizon Control
by: Herkersdorf, Max Heinz, et al.
Published: (2024)

Optimized Excitation Signal Tailored to Pertinent Dynamic Process Characteristics
by: Herkersdorf, Max Heinz, et al.
Published: (2024)

State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification
by: Cruz, Gonçalo Granjal, et al.
Published: (2025)

Adversarial Robustness of Deep State Space Models for Forecasting
by: Anand, Sribalaji C., et al.
Published: (2026)

Learning Stable and Robust Linear Parameter-Varying State-Space Models
by: Verhoek, Chris, et al.
Published: (2023)

Predictability Enables Parallelization of Nonlinear State Space Models
by: Gonzalez, Xavier, et al.
Published: (2025)

Recursive Gaussian Process State Space Model
by: Zheng, Tengjie, et al.
Published: (2024)

Space-Filling Input Design for Nonlinear State-Space Identification
by: Kiss, Máté, et al.
Published: (2024)

Layer-Adaptive State Pruning for Deep State Space Models
by: Gwak, Minseon, et al.
Published: (2024)

State-Free Inference of State-Space Models: The Transfer Function Approach
by: Parnichkun, Rom N., et al.
Published: (2024)

Geometric SSM: LTI State Space Models for Selective Tasks
by: Casti, Umberto, et al.
Published: (2025)

Systolic Array-based Accelerator for Structured State-Space Models
by: Raja, Shiva, et al.
Published: (2025)

Learning Surrogate LPV State-Space Models with Uncertainty Quantification
by: Olucha, E. Javier, et al.
Published: (2026)

AIRE-Prune: Asymptotic Impulse-Response Energy for State Pruning in State Space Models
by: Padhy, Apurba Prasad, et al.
Published: (2026)

Time-Varying Deep State Space Models for Sequences with Switching Dynamics
by: Karilanova, Sanja, et al.
Published: (2026)

Online Regularized Statistical Learning in Reproducing Kernel Hilbert Space With Non-Stationary Data
by: Zhang, Xiwei, et al.
Published: (2024)

Sparse Mamba: Introducing Controllability, Observability, And Stability To Structural State Space Models
by: Hamdan, Emadeldeen, et al.
Published: (2024)

A Behavioral Framework for Data-Driven Modeling of Nonlinear Systems in Vector-Valued Reproducing Kernel Hilbert Spaces
by: Hou, Boya, et al.
Published: (2026)

Naga: Vedic Encoding for Deep State Space Models
by: Schaller, Melanie, et al.
Published: (2025)

Recursive Inference for Heterogeneous Multi-Output GP State-Space Models with Arbitrary Moment Matching
by: Zheng, Tengjie, et al.
Published: (2025)

Compression Method for Deep Diagonal State Space Model Based on $H^2$ Optimal Reduction
by: Sakamoto, Hiroki, et al.
Published: (2025)

A Deep State-Space Model Compression Method using Upper Bound on Output Error
by: Sakamoto, Hiroki, et al.
Published: (2025)

L2RU: a Structured State Space Model with prescribed L2-bound
by: Massai, Leonardo, et al.
Published: (2025)

State Space Models as Foundation Models: A Control Theoretic Overview
by: Alonso, Carmen Amo, et al.
Published: (2024)

Federated Nonlinear System Identification
by: Tupe, Omkar, et al.
Published: (2025)

Federated Causal Representation Learning in State-Space Systems for Decentralized Counterfactual Reasoning
by: Mohamed, Nazal, et al.
Published: (2026)

Fine-Tuned Language Models as Space Systems Controllers
by: Zucchelli, Enrico M., et al.
Published: (2025)

Understanding the differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks
by: Sieber, Jerome, et al.
Published: (2024)

Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-Space
by: Adler, Saghar, et al.
Published: (2023)

PowerMamba: A Deep State Space Model and Comprehensive Benchmark for Time Series Prediction in Electric Power Systems
by: Menati, Ali, et al.
Published: (2024)

On the Stability of Nonlinear Receding Horizon Control: A Geometric Perspective
by: Westenbroek, Tyler, et al.
Published: (2021)

AirPilot: Interpretable PPO-based DRL Auto-Tuned Nonlinear PID Drone Controller for Robust Autonomous Flights
by: Zhang, Junyang, et al.
Published: (2024)

Stable-by-Design Neural Network-Based LPV State-Space Models for System Identification
by: Sertbaş, Ahmet Eren, et al.
Published: (2025)

On the Relation of State Space Models and Hidden Markov Models
by: Ghojogh, Aydin, et al.
Published: (2026)

Iterative Tuning of Nonlinear Model Predictive Control for Robotic Manufacturing Tasks
by: Ingole, Deepak, et al.
Published: (2025)

Bayesian Ambiguity Contraction-based Adaptive Robust Markov Decision Processes for Adversarial Surveillance Missions
by: Choi, Jimin, et al.
Published: (2025)

Physics-Informed State Space Models for Reliable Solar Irradiance Forecasting in Off-Grid Systems
by: Abdullah, Mohammed Ezzaldin Babiker
Published: (2026)

Baseline Results for Selected Nonlinear System Identification Benchmarks
by: Champneys, Max D., et al.
Published: (2024)

Robustly Invertible Nonlinear Dynamics and the BiLipREN: Contracting Neural Models with Contracting Inverses
by: Zhang, Yurui, et al.
Published: (2025)

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