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20232025
most citedA Unified Framework for Online Data-Driven Predictive Control with Robust Safety Guarantees

2 citations · 2 across the 6 of their papers we have counts for

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eess.SY2025

Safe Data-Driven Predictive Control

Amin Vahidi-Moghaddam, Kaian Chen, Kaixiang Zhang +3

In the realm of control systems, model predictive control (MPC) has exhibited remarkable potential; however, its reliance on accurate models and substantial computational resources…

eess.SY2025

Data-Enabled Predictive Control for Flexible Spacecraft

Huanqing Wang, Kaixiang Zhang, Amin Vahidi-Moghaddam +4

Spacecraft are vital to space exploration and are often equipped with lightweight, flexible appendages to meet strict weight constraints. These appendages pose significant challeng…

eess.SY2024

Online Reduced-Order Data-Enabled Predictive Control

Amin Vahidi-Moghaddam, Kaixiang Zhang, Xunyuan Yin +2

Data-enabled predictive control (DeePC) has garnered significant attention for its ability to achieve safe, data-driven optimal control without relying on explicit system models. T…

eess.SY2023★ 2 cited

A Unified Framework for Online Data-Driven Predictive Control with Robust Safety Guarantees

Amin Vahidi-Moghaddam, Kaian Chen, Kaixiang Zhang +3

Despite great successes, model predictive control (MPC) relies on an accurate dynamical model and requires high onboard computational power, impeding its wider adoption in engineer…

eess.SY2023

Extended Neighboring Extremal Optimal Control with State and Preview Perturbations

Amin Vahidi-Moghaddam, Kaixiang Zhang, Zhaojian Li +3

Optimal control schemes have achieved remarkable performance in numerous engineering applications. However, they typically require high computational cost, which has limited their…