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20172022
most citedHandling Model and Implementation Uncertainties via an Adaptive Discrete Sliding Mode Controller Design

5 citations · 13 across the 8 of their papers we have counts for

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math.OC2019

Robust Hierarchical MPC for Handling Long Horizon Demand Forecast Uncertainty with Application to Automotive Thermal Management

Mohammad Reza Amini, Ilya Kolmanovsky, Jing Sun

This paper presents a robust hierarchical MPC (H-MPC) for dynamic systems with slow states subject to demand forecast uncertainty. The H-MPC has two layers: (i) the scheduling MPC…

math.OC2018

Adaptive Discrete Second Order Sliding Mode Control with Application to Nonlinear Automotive Systems

Mohammad Reza Amini, Mahdi Shahbakhti, Selina Pan

Sliding mode control (SMC) is a robust and computationally efficient model-based controller design technique for highly nonlinear systems, in the presence of model and external unc…

math.OC20172 cited

MIMO First and Second Order Discrete Sliding Mode Controls of Uncertain Linear Systems under Implementation Imprecisions

Mohammad Reza Amini, Mahdi Shahbakhti, Selina Pan

The performance of a conventional model-based controller significantly depends on the accuracy of the modeled dynamics. The model of a plant's dynamics is subjected to errors in es…

math.OC20175 cited

Handling Model and Implementation Uncertainties via an Adaptive Discrete Sliding Mode Controller Design

Mohammad Reza Amini, Mahdi Shahbakhti, Selina Pan +1

Analog-to-digital conversion (ADC) and uncertainties in modeling the plant dynamics are the main sources of imprecisions in the design cycle of model-based controllers. These imple…

math.OC20171 cited

Discrete Adaptive Second Order Sliding Mode Controller Design with Application to Automotive Control Systems with Model Uncertainties

Mohammad Reza Amini, Mahdi Shahbakhti, Selina Pan +1

Sliding mode control (SMC) is a robust and computationally efficient solution for tracking control problems of highly nonlinear systems with a great deal of uncertainty. High frequ…