Mahdi Shahbakhti
According to our database1,
Mahdi Shahbakhti authored at least 50 papers
between 2007 and 2026.
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Bibliography
2026
A parallel Seq2Seq neural architecture for long-horizon performance forecasting and online condition monitoring of fuel cells.
Appl. Soft Comput., 2026
Dual-stream transformer autoencoding with contrastive k-means and spectral learning for explainable unsupervised driving-behavior clustering.
Adv. Eng. Informatics, 2026
Dynamic Kolmogorov-Arnold networks for time-varying degradation modeling in solid oxide fuel cells.
Adv. Eng. Informatics, 2026
2025
A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle.
CoRR, June, 2025
A deep Conv-Atten-KAN architecture to identify solid oxide fuel cell dynamics under fuel starvation.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2025
Proceedings of the 2025 American Control Conference, 2025
2024
Temporal dilated convolution and nonlinear autoregressive network for predicting solid oxide fuel cell performance.
Eng. Appl. Artif. Intell., 2024
Fuel-Efficient Control System Design for Cooperative Truck Platooning at Large Separation Distances.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024
Developing a Time-Efficient Model for Solid Oxide Fuel Cells Using Self-Supervised Convolutional Autoencoder and Stateful LSTM Network.
Proceedings of the American Control Conference, 2024
2023
J. Syst. Control. Eng., September, 2023
Deep Learning Based Distributed Meta-Learning for Fast and Accurate Online Adaptive Powertrain Fuel Consumption Modeling.
IEEE Trans. Veh. Technol., June, 2023
Integrating Machine Learning and Model Predictive Control for automotive applications: A review and future directions.
Eng. Appl. Artif. Intell., April, 2023
2022
Machine Learning Integrated with Model Predictive Control for Imitative Optimal Control of Compression Ignition Engines.
CoRR, 2022
Integration of Deep Learning and Nonlinear Model Predictive Control for Emission Reduction of Compression Ignition Combustion Engines: A Simulation Study.
CoRR, 2022
2021
Epistemic Uncertainty Quantification in State-Space LPV Model Identification Using Bayesian Neural Networks.
IEEE Control. Syst. Lett., 2021
Model Predictive Control of a Waste Heat Recovery System Integrated with a Dual Fuel Natural Gas-Diesel Engine.
Proceedings of the 2021 American Control Conference, 2021
2020
Connected Vehicle Based Distributed Meta-Learning for Online Adaptive Engine/Powertrain Fuel Consumption Modeling.
IEEE Trans. Veh. Technol., 2020
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020
Data-driven Modeling and Predictive Control of Maximum Pressure Rise Rate in RCCI Engines.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020
2019
Generation of Optimal Velocity Trajectory for Real-Time Predictive Control of a Multi-Mode PHEV.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019
Proceedings of the 2019 American Control Conference, 2019
Optimal Exergy-wise Predictive Control for a Combined MicroCSP and HVAC System in a Building.
Proceedings of the 2019 American Control Conference, 2019
Proceedings of the 2019 American Control Conference, 2019
2018
IEEE Trans. Smart Grid, 2018
Optimal Map-Based Mode Selection and Powertrain Control for a Multi-Mode Plug-in Hybrid Electric Vehicle.
Proceedings of the 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, 2018
Proceedings of the 14th IEEE International Conference on Control and Automation, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
Predictive Second Order Sliding Control of Constrained Linear Systems with Application to Automotive Control Systems.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
CoRR, 2017
Enabling Demand Response programs via Predictive Control of Building-to-Grid systems integrated with PV Panels and Energy Storage Systems.
Proceedings of the 2017 American Control Conference, 2017
Modeling, design and implementation of a closed-loop combustion controller for an RCCI engine.
Proceedings of the 2017 American Control Conference, 2017
Discrete adaptive second order sliding mode controller design with application to automotive control systems with model uncertainties.
Proceedings of the 2017 American Control Conference, 2017
2016
Proceedings of the 2016 American Control Conference, 2016
Selecting control input type for a building predictive controller integrated in a power grid.
Proceedings of the 2016 American Control Conference, 2016
Discrete sliding controller design with robustness to implementation imprecisions via online uncertainty prediction.
Proceedings of the 2016 American Control Conference, 2016
2015
Proceedings of the American Control Conference, 2015
Proceedings of the American Control Conference, 2015
Integrated cycle-to-cycle control of exhaust gas temperature, load, and combustion phasing in an HCCI engine.
Proceedings of the American Control Conference, 2015
2014
Proceedings of the American Control Conference, 2014
Proceedings of the American Control Conference, 2014
2013
Proceedings of the American Control Conference, 2013
Proceedings of the American Control Conference, 2013
Proceedings of the American Control Conference, 2013
Proceedings of the American Control Conference, 2013
2012
Proceedings of the American Control Conference, 2012
Grey-box modeling architectures for rotational dynamic control in automotive engines.
Proceedings of the American Control Conference, 2012
2007
Proceedings of the American Control Conference, 2007