2 citations · 2 across the 6 of their papers we have counts for
7 papers
From Shadow to Light: Toward Safe and Efficient Policy Learning Across MPC, DeePC, RL, and LLM Agents
Amin Vahidi-Moghaddam, Sayed Pedram Haeri Boroujeni, Iman Jebellat +3
One of the main challenges in modern control applications, particularly in robot and vehicle motion control, is achieving accurate, fast, and safe movement. To address this, optima…
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…
Data-Enabled Neighboring Extremal: Case Study on Model-Free Trajectory Tracking for Robotic Arm
Amin Vahidi-Moghaddam, Keyi Zhu, Kaixiang Zhang +2
Data-enabled predictive control (DeePC) has recently emerged as a powerful data-driven approach for efficient system controls with constraints handling capabilities. It performs op…
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…
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…
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…
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…