Copertina

Neural Parameter-varying Data-enabled Predictive Control of Cold Atmospheric Pressure Plasma Jets

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	GhafGhanbari, Pegah, Lazar, Mircea, Velni, Javad Mohammadpour
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Systems and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Adaptive Uncertainty Quantification for Scenario-based Control Using Meta-learning of Bayesian Neural Networks
di: Bao, Yajie, et al.
Pubblicazione: (2024)

Neural Data-Enabled Predictive Control
di: Lazar, Mircea
Pubblicazione: (2024)

Distributed Model Predictive Control Design for Multi-agent Systems via Bayesian Optimization
di: Esfahani, Hossein Nejatbakhsh, et al.
Pubblicazione: (2025)

Impulse-to-Peak-Output Norm Optimal State-Feedback Control of Linear PDEs
di: Thomas, Tristan, et al.
Pubblicazione: (2026)

Safe Robust Predictive Control-based Motion Planning of Automated Surface Vessels in Inland Waterways
di: Ahmadi, Sajad, et al.
Pubblicazione: (2025)

Intersection of Reinforcement Learning and Bayesian Optimization for Intelligent Control of Industrial Processes: A Safe MPC-based DPG using Multi-Objective BO
di: Esfahani, Hossein Nejatbakhsh, et al.
Pubblicazione: (2025)

An Adaptive Coverage Control Approach for Multiple Autonomous Off-road Vehicles in Dynamic Agricultural Fields
di: Ahmadi, Sajad, et al.
Pubblicazione: (2025)

Safety Critical Model Predictive Control Using Discrete-Time Control Density Functions
di: Narayanan, Sriram S. K. S., et al.
Pubblicazione: (2025)

A Learning- and Scenario-based MPC Design for Nonlinear Systems in LPV Framework with Safety and Stability Guarantees
di: Bao, Yajie, et al.
Pubblicazione: (2022)

Finite Control Set Model Predictive Control with Limit Cycle Stability Guarantees
di: Xu, Duo, et al.
Pubblicazione: (2024)

Nigel -- Mechatronic Design and Robust Sim2Real Control of an Over-Actuated Autonomous Vehicle
di: Samak, Chinmay Vilas, et al.
Pubblicazione: (2024)

A universal reproducing kernel Hilbert space for learning nonlinear systems operators
di: Lazar, Mircea
Pubblicazione: (2024)

Offset-free Data-Driven Predictive Control for Grid-Connected Power Converters in Weak Grid Faults
di: Kraayeveld, Ivo, et al.
Pubblicazione: (2025)

Dynamic Output-Feedback Controller Synthesis for Dissipativity and $H_2$ Performance from Noisy Input-State Data
di: Kristović, Pietro, et al.
Pubblicazione: (2025)

Dynamic Output-Feedback Controller Synthesis for Dissipativity and $H_2$ Performance from Noisy Input-Output Data
di: Kristović, Pietro, et al.
Pubblicazione: (2026)

Koopman Data-Driven Predictive Control with Robust Stability and Recursive Feasibility Guarantees
di: de Jong, Thomas, et al.
Pubblicazione: (2024)

Data-driven feedforward control design for nonlinear systems: A control-oriented system identification approach
di: Bolderman, Max, et al.
Pubblicazione: (2023)

Physics-guided gated recurrent units for inversion-based feedforward control
di: Lin, Mingdao, et al.
Pubblicazione: (2025)

Structured physics-guided neural networks for electromagnetic commutation applied to industrial linear motors
di: Bolderman, Max, et al.
Pubblicazione: (2024)

Kernelized offset-free data-driven predictive control for nonlinear systems
di: de Jong, Thomas Oliver, et al.
Pubblicazione: (2024)

Data-enabled Predictive Repetitive Control
di: Dinkla, Rogier, et al.
Pubblicazione: (2024)

Efficient Recursive Data-enabled Predictive Control (Extended Version)
di: Shi, Jicheng, et al.
Pubblicazione: (2023)

Towards Reliable Neural Optimizers: Permutation-Equivariant Neural Approximation in Dynamic Data Driven Applications Systems
di: Li, Meiyi, et al.
Pubblicazione: (2025)

A Kernelized Operator Approach to Nonlinear Data-Enabled Predictive Control
di: de Jong, Thomas, et al.
Pubblicazione: (2025)

Scalable Nonlinear DeePC: Bridging Direct and Indirect Methods and Basis Reduction
di: de Jong, Thomas O., et al.
Pubblicazione: (2025)

Physics-guided neural networks for inversion-based feedforward control applied to hybrid stepper motors
di: Fan, Daiwei, et al.
Pubblicazione: (2023)

Deep Operator Neural Network Model Predictive Control
di: de Jong, Thomas Oliver, et al.
Pubblicazione: (2025)

Online Optimization with Unknown Time-varying Parameters
di: Tripathi, Shivanshu, et al.
Pubblicazione: (2025)

A Linear Parameter-Varying Approach to Data Predictive Control
di: Verhoek, Chris, et al.
Pubblicazione: (2023)

Multivariable control of modular multilevel converters with convergence and safety guarantees
di: Dreke, Victor Daniel Reyes, et al.
Pubblicazione: (2024)

Situation-Aware Interactive MPC Switching for Autonomous Driving
di: Qi, Shuhao, et al.
Pubblicazione: (2025)

Stochastic MPC for Finite Gaussian Mixture Disturbances with Guarantees
di: Engelaar, Maico H. W., et al.
Pubblicazione: (2024)

Economic Model Predictive Control of Water Distribution Systems with Accelerated Optimization Algorithm
di: Putri, Saskia, et al.
Pubblicazione: (2024)

Neural-NPV Control: Learning Parameter-Dependent Controllers and Lyapunov Functions with Neural Networks
di: Niloy, MD Abul Kashem, et al.
Pubblicazione: (2026)

Nonlinear Model Predictive Control for Navy Microgrids with Stabilizing Terminal Ingredients
di: Putri, Saskia, et al.
Pubblicazione: (2023)

Mamba Sequence Modeling meets Model Predictive Control
di: Cevaal, Michiel, et al.
Pubblicazione: (2026)

Towards Reliable Neural Optimizers: A Permutation Equivariant Neural Approximation for Information Processing Applications
di: Li, Meiyi, et al.
Pubblicazione: (2024)

Blind System Identification in Linear Parameter-Varying Systems
di: Moghaddam, Javad Zahedi, et al.
Pubblicazione: (2023)

Risk-Aware MPC for Stochastic Systems with Runtime Temporal Logics
di: Engelaar, Maico H. W., et al.
Pubblicazione: (2024)

Adaptive Regulated Sparsity Promoting Approach for Data-Driven Modeling and Control of Grid-Connected Solar Photovoltaic Generation
di: Zhang, Zhongtian, et al.
Pubblicazione: (2024)