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20232026
most citedA Novel Neural Filter to Improve Accuracy of Neural Network Models of Dynamic Systems

1 citations · 2 across the 11 of their papers we have counts for

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5 papers · 1 filter

eess.SY2026

Model-Free Dynamic Mode Adaptive Control for Data-Driven Control Synthesis

Parham Oveissi, Ankit Goel

This paper presents a model-free, data-driven control synthesis method called dynamic mode adaptive control (DMAC) for systems whose mathematical models are unavailable or unsuitab…

eess.SY2025

Swarm-optimized Adaptive Augmentation of Missile Autopilot

Alexander Dorsey, Parham Oveissi, Jeffrey D. Barton +1

This paper considers the problem of optimizing a missile autopilot. In particular, the paper investigates the application of an online learning technique to learn and optimize the…

eess.SY2025

Model-free Dynamic Mode Adaptive Control using Matrix RLS

Parham Oveissi, Ankit Goel

This paper presents a novel, model-free, data-driven control synthesis technique known as dynamic mode adaptive control (DMAC) for synthesizing controllers for complex systems whos…

eess.SY2024

Single-Shot Learning of Multirotor Controller Gains: A Data-Driven Approach with Experimental Validation

Mohammad Mirtaba, Parham Oveissi, Juan Augusto Paredes Salaza +1

This paper demonstrates the single-shot learning capabilities of retrospective cost optimization based data-driven control applied to learning multirotor controller gains for traje…

eess.SY2023★ 1 cited

Experimental Flight Testing of an Adaptive Autopilot with Parameter Drift Mitigation

Yin Yong Chee, Parham Oveissi, Siyuan Shao +4

This paper modifies an adaptive multicopter autopilot to mitigate instabilities caused by adaptive parameter drift and presents simulation and experimental results to validate the…