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Mahdi Shahbakhti
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2020 – today
- 2024
- [j7]Mohamadali Tofigh
, Ali Kharazmi, Daniel J. Smith, Charles Robert Koch
Temporal dilated convolution and nonlinear autoregressive network for predicting solid oxide fuel cell performance. Eng. Appl. Artif. Intell. 136: 108994 (2024) - [c31]Mohamadali Tofigh, Z. Salehi, Daniel J. Smith, Ali Kharazmi, A. R. Hanifi, Charles Robert Koch, Mahdi Shahbakhti:
Developing a Time-Efficient Model for Solid Oxide Fuel Cells Using Self-Supervised Convolutional Autoencoder and Stateful LSTM Network. ACC 2024: 86-91 - 2023
- [j6]Armin Norouzi
Integrating Machine Learning and Model Predictive Control for automotive applications: A review and future directions. Eng. Appl. Artif. Intell. 120: 105878 (2023) - [j5]Armin Norouzi
Safe deep reinforcement learning in diesel engine emission control. J. Syst. Control. Eng. 237(8): 1440-1453 (2023) - [j4]Xin Ma
Deep Learning Based Distributed Meta-Learning for Fast and Accurate Online Adaptive Powertrain Fuel Consumption Modeling. IEEE Trans. Veh. Technol. 72(6): 7251-7264 (2023) - 2022
- [i4]Armin Norouzi, Saeid Shahpouri, David C. Gordon, Alexander Winkler, Eugen Nuss, Dirk Abel, Jakob Andert, Mahdi Shahbakhti, Charles Robert Koch:
Integration of Deep Learning and Nonlinear Model Predictive Control for Emission Reduction of Compression Ignition Combustion Engines: A Simulation Study. CoRR abs/2204.00139 (2022) - [i3]Armin Norouzi, Saeid Shahpouri, David C. Gordon, Alexander Winkler, Eugen Nuss, Dirk Abel, Mahdi Shahbakhti, Charles Robert Koch:
Machine Learning Integrated with Model Predictive Control for Imitative Optimal Control of Compression Ignition Engines. CoRR abs/2204.00142 (2022) - 2021
- [j3]Yajie Bao
Epistemic Uncertainty Quantification in State-Space LPV Model Identification Using Bayesian Neural Networks. IEEE Control. Syst. Lett. 5(2): 719-724 (2021) - [c30]Chethan R. Reddy, Vinicius Bonfochi Vinhaes, Rush D. Robinett, Jeffrey D. Naber
Model Predictive Control of a Waste Heat Recovery System Integrated with a Dual Fuel Natural Gas-Diesel Engine. ACC 2021: 1842-1847 - 2020
- [j2]Xin Ma
Connected Vehicle Based Distributed Meta-Learning for Online Adaptive Engine/Powertrain Fuel Consumption Modeling. IEEE Trans. Veh. Technol. 69(9): 9553-9565 (2020) - [c29]Kaushal Darokar, Prithvi Reddy, Jon Furlich, Darrell Robinette, Mahdi Shahbakhti, Maruthi Ravichandran, Jeffrey Doering:
Automotive backlash position estimator for driveline jerk control. CCTA 2020: 88-93 - [c28]L. N. Aditya Basina, Behrouz K. Irdmousa, Javad Mohammadpour Velni, Hoseinali Borhan, Jeffrey D. Naber
Data-driven Modeling and Predictive Control of Maximum Pressure Rise Rate in RCCI Engines. CCTA 2020: 94-99 - [c27]Prithvi Reddy, Kaushal Darokar, Darrell Robinette, Mahdi Shahbakhti, Maruthi Ravichandran, Jeffrey Doering:
Backlash size estimation in automotive drivelines. CCTA 2020: 201-206
2010 – 2019
- 2019
- [c26]Chethan R. Reddy, Meysam Razmara, Mahdi Shahbakhti, Rush D. Robinett:
Optimal Exergy-wise Predictive Control for a Combined MicroCSP and HVAC System in a Building. ACC 2019: 235-240 - [c25]Mohamed Toub, Mahdi Shahbakhti, Rush D. Robinett, Ghassane Aniba:
MPC-trained ANFIS for Control of MicroCSP Integrated into a Building HVAC System. ACC 2019: 241-246 - [c24]Behrouz K. Irdmousa, Syed Zeeshan Rizvi, Javad Mohammadpour Velni, J. D. Nabert, Mahdi Shahbakhti:
Data-driven Modeling and Predictive Control of Combustion Phasing for RCCI Engines. ACC 2019: 1617-1622 - [c23]Pradeep Krishna Bhat, Joseph Oncken
Generation of Optimal Velocity Trajectory for Real-Time Predictive Control of a Multi-Mode PHEV. VTC Fall 2019: 1-5 - 2018
- [j1]Meysam Razmara
Bilevel Optimization Framework for Smart Building-to-Grid Systems. IEEE Trans. Smart Grid 9(2): 582-593 (2018) - [c22]Akshat Raut, Mehran Bidarvatan, Hoseinali Borhan, Mahdi Shahbakhti:
Model Predictive Control of an RCCI Engine. ACC 2018: 1604-1609 - [c21]Mohammad Reza Amini
Predictive Second Order Sliding Control of Constrained Linear Systems with Application to Automotive Control Systems. ACC 2018: 1629-1634 - [c20]Mohamed Toub, Chethan R. Reddy, Meysam Razmara, Mahdi Shahbakhti, Rush D. Robinett, Ghassane Aniba:
Model Predictive Control for MicroCSP Integration into a Building HVAC System. ICCA 2018: 890-895 - [c19]Huanqing Wang, Kovid Sacheva, Joe Tripp, Bo Chen, Darrell Robinette, Mahdi Shahbakhti:
Optimal Map-Based Mode Selection and Powertrain Control for a Multi-Mode Plug-in Hybrid Electric Vehicle. MESA 2018: 1-6 - [i2]Mohammad Reza Amini, Mahdi Shahbakhti, Jing Sun:
Predictive Second Order Sliding Control of Constrained Linear Systems with Application to Automotive Control Systems. CoRR abs/1802.01617 (2018) - 2017
- [c18]Meysam Razmara, Guna R. Bharati, Drew Hanover, Mahdi Shahbakhti, Sumit Paudyal, Rush D. Robinett:
Enabling Demand Response programs via Predictive Control of Building-to-Grid systems integrated with PV Panels and Energy Storage Systems. ACC 2017: 56-61 - [c17]Naga Nithin Teja Kondipati, Jayant Kumar Arora, Mehran Bidarvatan, Mahdi Shahbakhti:
Modeling, design and implementation of a closed-loop combustion controller for an RCCI engine. ACC 2017: 4747-4752 - [c16]Mohammad Reza Amini
Discrete adaptive second order sliding mode controller design with application to automotive control systems with model uncertainties. ACC 2017: 4766-4771 - [i1]Mohammad Reza Amini, Mahdi Shahbakhti:
Design of an SI Engine Cold Start Controller based on Dynamic Coupling Analysis. CoRR abs/1710.03303 (2017) - 2016
- [c15]Jeremy S. Dobbs, Meysam Razmara, Mahdi Shahbakhti, Sumit Paudyal:
Selecting control input type for a building predictive controller integrated in a power grid. ACC 2016: 2379-2384 - [c14]Meysam Razmara, Mehran Bidarvatan, Mahdi Shahbakhti, Rush D. Robinett:
Novel Exergy-wise predictive control of Internal Combustion Engines. ACC 2016: 4181-4186 - [c13]Mohammad Reza Amini
Discrete sliding controller design with robustness to implementation imprecisions via online uncertainty prediction. ACC 2016: 6537-6542 - 2015
- [c12]Mehran Bidarvatan, Deepak Kothari, Mahdi Shahbakhti:
Integrated cycle-to-cycle control of exhaust gas temperature, load, and combustion phasing in an HCCI engine. ACC 2015: 7-12 - [c11]Meysam Razmara, Guna R. Bharati, Mahdi Shahbakhti, Sumit Paudyal, Rush D. Robinett:
Bidirectional optimal operation of smart building-to-grid systems. ACC 2015: 288-293 - [c10]Meysam Razmara, Mehdi Maasoumy, Mahdi Shahbakhti, Rush D. Robinett III:
Exergy-based model predictive control for building HVAC systems. ACC 2015: 1677-1682 - 2014
- [c9]Mehdi Maasoumy, Meysam Razmara, Mahdi Shahbakhti, Alberto L. Sangiovanni-Vincentelli:
Selecting building predictive control based on model uncertainty. ACC 2014: 404-411 - [c8]Mehran Bidarvatan, Vishal Thakkar, Mahdi Shahbakhti:
Grey-box modeling and control of HCCI engine emissions. ACC 2014: 837-842 - 2013
- [c7]Kyle Edelberg, Mahdi Shahbakhti, J. Karl Hedrick:
Incorporation of implementation imprecision in automotive control design. ACC 2013: 2854-2859 - [c6]Rasoul Salehi, Mahdi Shahbakhti, J. Karl Hedrick:
Hybrid switching control of automotive cold start hydrocarbon emission. ACC 2013: 4417-4422 - [c5]Rasoul Salehi, Mahdi Shahbakhti, Aria Alasty, G. R. Vossoughi:
Control oriented modeling of a radial turbine for a turbocharged gasoline engine. ACC 2013: 5207-5212 - [c4]Rasoul Salehi, Mahdi Shahbakhti, Aria Alasty, G. R. Vossoughi:
Nonlinear observer design for turbocharger in a SI engine. ACC 2013: 5231-5236 - 2012
- [c3]Adam Cranmer, Mahdi Shahbakhti, J. Karl Hedrick:
Grey-box modeling architectures for rotational dynamic control in automotive engines. ACC 2012: 1278-1283 - [c2]Mahdi Shahbakhti, Jimmy Li, J. Karl Hedrick:
Early model-based verification of automotive control system implementation. ACC 2012: 3587-3592
2000 – 2009
- 2007
- [c1]Mahdi Shahbakhti, Charles Robert Koch:
Control Oriented Modeling of Combustion Phasing for an HCCI Engine. ACC 2007: 3694-3699
Coauthor Index
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