Deep Neural Network based Optimal Control of Greenhouses
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Sathyanarayanan, Kiran Kumar, Sauerteig, Philipp, Streif, Stefan |
|---|---|
| Format: | Preprint |
| Publié: |
2023
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
MPC without Terminal Ingredients Tailored to the SEIR Compartmental Epidemic Model
par: Esterhuizen, Willem, et autres
Publié: (2024)
par: Esterhuizen, Willem, et autres
Publié: (2024)
MHE in Output Feedback Control of Uncertain Nonlinear Systems via IQCs
par: Guo, Yang, et autres
Publié: (2025)
par: Guo, Yang, et autres
Publié: (2025)
Time-varying optimal control under measurement errors
par: Schmidt, Patrick, et autres
Publié: (2026)
par: Schmidt, Patrick, et autres
Publié: (2026)
Some remarks on practical stabilization via CLF-based control under measurement noise
par: Schmidt, Patrick, et autres
Publié: (2025)
par: Schmidt, Patrick, et autres
Publié: (2025)
On constructive extractability of measurable selectors of set-valued maps
par: Osinenko, Pavel, et autres
Publié: (2024)
par: Osinenko, Pavel, et autres
Publié: (2024)
On the Boundary of the Robust Admissible Set in State and Input Constrained Nonlinear Systems
par: Rußwurm, Franz, et autres
Publié: (2025)
par: Rußwurm, Franz, et autres
Publié: (2025)
Some remarks on robustness of sample-and-hold stabilization
par: Schmidt, Patrick, et autres
Publié: (2025)
par: Schmidt, Patrick, et autres
Publié: (2025)
Global Observability Analysis of a Growth Model for Insects Farming
par: Tafat, Rania, et autres
Publié: (2024)
par: Tafat, Rania, et autres
Publié: (2024)
Generalized Super-Twisting Observer for a class of interconnected nonlinear systems with uncertainties
par: Tafat, Rania, et autres
Publié: (2025)
par: Tafat, Rania, et autres
Publié: (2025)
Strong nonlinear detectability and moving horizon estimation for nonlinear systems with unknown inputs
par: Guo, Yang, et autres
Publié: (2025)
par: Guo, Yang, et autres
Publié: (2025)
Benchmarking Reinforcement Learning via Stochastic Converse Optimality: Generating Systems with Known Optimal Policies
par: Ibrahim, Sinan, et autres
Publié: (2026)
par: Ibrahim, Sinan, et autres
Publié: (2026)
Reinforcement Learning-based Model Predictive Control for Greenhouse Climate Control
par: Mallick, Samuel, et autres
Publié: (2024)
par: Mallick, Samuel, et autres
Publié: (2024)
Modularized data-driven approximation of the Koopman operator and generator
par: Guo, Yang, et autres
Publié: (2024)
par: Guo, Yang, et autres
Publié: (2024)
Comparison of Unscented Kalman Filter Design for Agricultural Anaerobic Digestion Model
par: Hellmann, Simon, et autres
Publié: (2023)
par: Hellmann, Simon, et autres
Publié: (2023)
Process Optimization of Black Soldier Fly Egg Production via Model Based Control
par: Kobelski, Alexander, et autres
Publié: (2022)
par: Kobelski, Alexander, et autres
Publié: (2022)
Optimal Inferential Control of Convolutional Neural Networks
par: Vaziri, Ali, et autres
Publié: (2024)
par: Vaziri, Ali, et autres
Publié: (2024)
RL-Guided MPC for Autonomous Greenhouse Control
par: Msaad, Salim, et autres
Publié: (2025)
par: Msaad, Salim, et autres
Publié: (2025)
A Deep Neural Network-based Frequency Predictor for Frequency-Constrained Optimal Power Flow
par: Jiang, Fan, et autres
Publié: (2025)
par: Jiang, Fan, et autres
Publié: (2025)
Dispatch-Aware Deep Neural Network for Optimal Transmission Switching
par: Kim, Minsoo, et autres
Publié: (2025)
par: Kim, Minsoo, et autres
Publié: (2025)
A Tutorial to Multirate Extended Kalman Filter Design for Monitoring of Agricultural Anaerobic Digestion Plants
par: Hellmann, Simon, et autres
Publié: (2025)
par: Hellmann, Simon, et autres
Publié: (2025)
Transmission Neural Networks: Approximation and Optimal Control
par: Gao, Shuang, et autres
Publié: (2025)
par: Gao, Shuang, et autres
Publié: (2025)
Carbon Neutral Greenhouse: Economic Model Predictive Control Framework for Education
par: Wadinger, Marek, et autres
Publié: (2024)
par: Wadinger, Marek, et autres
Publié: (2024)
Pontryagin Optimal Control via Neural Networks
par: Gu, Chengyang, et autres
Publié: (2022)
par: Gu, Chengyang, et autres
Publié: (2022)
Adaptive Deep Neural Network-Based Control Barrier Functions
par: Sweatland, Hannah M., et autres
Publié: (2024)
par: Sweatland, Hannah M., et autres
Publié: (2024)
Design and Implementation of DC-DC Buck Converter based on Deep Neural Network Sliding Mode Control
par: Zhiwei, Liu, et autres
Publié: (2024)
par: Zhiwei, Liu, et autres
Publié: (2024)
Contracting Neural Networks: Sharp LMI Conditions with Applications to Integral Control and Deep Learning
par: Gokhale, Anand, et autres
Publié: (2026)
par: Gokhale, Anand, et autres
Publié: (2026)
Deep Neural Network-Enhanced Frequency-Constrained Optimal Power Flow with Multi-Governor Dynamics
par: Jiang, Fan, et autres
Publié: (2026)
par: Jiang, Fan, et autres
Publié: (2026)
Deep Neural Network NMPC for Computationally Tractable Optimal Power Management of Hybrid Electric Vehicle
par: Park, Suyong, et autres
Publié: (2024)
par: Park, Suyong, et autres
Publié: (2024)
Co-state Neural Network for Real-time Nonlinear Optimal Control with Input Constraints
par: Lian, Lihan, et autres
Publié: (2025)
par: Lian, Lihan, et autres
Publié: (2025)
Practical Implementation and Experimental Validation of an Optimal Control based Eco-Driving System
par: Lakshmanan, Vinith Kumar, et autres
Publié: (2024)
par: Lakshmanan, Vinith Kumar, et autres
Publié: (2024)
Introducing a Deep Neural Network-based Model Predictive Control Framework for Rapid Controller Implementation
par: Gordon, David C., et autres
Publié: (2023)
par: Gordon, David C., et autres
Publié: (2023)
Lyapunov-Based Deep Residual Neural Network (ResNet) Adaptive Control
par: Patil, Omkar Sudhir, et autres
Publié: (2024)
par: Patil, Omkar Sudhir, et autres
Publié: (2024)
Lyapunov-Based Deep Neural Networks for Adaptive Control of Stochastic Nonlinear Systems
par: Akbari, Saiedeh, et autres
Publié: (2024)
par: Akbari, Saiedeh, et autres
Publié: (2024)
Deep Reinforcement Learning based Control Design for Aircraft Recovery from Loss-of-Control Scenario
par: Sayyed, Imran, et autres
Publié: (2026)
par: Sayyed, Imran, et autres
Publié: (2026)
Optimal Control for Network of Coupled Oscillators
par: Tahirovic, Adnan
Publié: (2025)
par: Tahirovic, Adnan
Publié: (2025)
Physics-informed Modularized Neural Network for Advanced Building Control by Deep Reinforcement Learning
par: Jiang, Zixin, et autres
Publié: (2025)
par: Jiang, Zixin, et autres
Publié: (2025)
Anti-Disturbance Hierarchical Sliding Mode Controller for Deep-Sea Cranes with Adaptive Control and Neural Network Compensation
par: Zuo, Qian, et autres
Publié: (2025)
par: Zuo, Qian, et autres
Publié: (2025)
Data-Driven Greenhouse Climate Regulation in Lettuce Cultivation Using BiLSTM and GRU Predictive Control
par: Arnaud, Soumo Emmanuel, et autres
Publié: (2025)
par: Arnaud, Soumo Emmanuel, et autres
Publié: (2025)
Collaborative Spacecraft Servicing under Partial Feedback using Lyapunov-based Deep Neural Networks
par: Nino, Cristian F., et autres
Publié: (2025)
par: Nino, Cristian F., et autres
Publié: (2025)
Neural-NPV Control: Learning Parameter-Dependent Controllers and Lyapunov Functions with Neural Networks
par: Niloy, MD Abul Kashem, et autres
Publié: (2026)
par: Niloy, MD Abul Kashem, et autres
Publié: (2026)
Documents similaires
-
MPC without Terminal Ingredients Tailored to the SEIR Compartmental Epidemic Model
par: Esterhuizen, Willem, et autres
Publié: (2024) -
MHE in Output Feedback Control of Uncertain Nonlinear Systems via IQCs
par: Guo, Yang, et autres
Publié: (2025) -
Time-varying optimal control under measurement errors
par: Schmidt, Patrick, et autres
Publié: (2026) -
Some remarks on practical stabilization via CLF-based control under measurement noise
par: Schmidt, Patrick, et autres
Publié: (2025) -
On constructive extractability of measurable selectors of set-valued maps
par: Osinenko, Pavel, et autres
Publié: (2024)