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20242026
most citedA Novel Neural Filter to Improve Accuracy of Neural Network Models of Dynamic Systems

1 citations · 1 across the 10 of their papers we have counts for

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5 papers · 1 filter

math.OC2025

Computational Modeling and Learning-Based Adaptive Control of Solid-Fuel Ramjets

Gohar T. Khokhar, Kyle Hanquist, Parham Oveissi +2

Solid-fuel ramjets offer a compact, energy-dense propulsion option for long-range, high-speed flight but pose significant challenges for thrust regulation due to strong nonlinearit…

eess.SY2025

Feedback Linearization-based Guidance Law for Guaranteed Interception

Alexander Dorsey, Ankit Goel

This paper presents an input-output feedback linearization (IOL)-based guidance law to ensure interception in a pursuer-evader engagement scenario. A point-mass dynamic model for b…

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…

math.OC2025

An In-situ Solid Fuel Ramjet Thrust Monitoring and Regulation Framework Using Neural Networks and Adaptive Control

Ryan DeBoskey, Parham Oveissi, Venkat Narayanaswamy +1

Controlling the complex combustion dynamics within solid fuel ramjets (SFRJs) remains a critical challenge limiting deployment at scale. This paper proposes the use of a neural net…

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…