1 citations · 2 across the 11 of their papers we have counts for
11 papers
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…
Thrust Regulation in a Solid Fuel Ramjet using Dynamic Mode Adaptive Control
Parham Oveissi, Gohar T. Khokhar, Kyle Hanquist +1
This paper presents the application of a novel data-driven adaptive control technique, called dynamic mode adaptive control (DMAC), for regulating thrust in a solid fuel ramjet (SF…
Adaptive Thrust Regulation in Solid-fuel Ramjet with Variable Geometry Inlet
Parham Oveissi, Ryan DeBoskey, Venkateswaran Narayanaswamy +1
This paper presents the application of a novel data-driven adaptive control technique, dynamic mode adaptive control (DMAC), to regulate thrust in a solid-fuel ramjet (SFRJ). A qua…
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…
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…
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…
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…
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…
A Novel Neural Filter to Improve Accuracy of Neural Network Models of Dynamic Systems
Parham Oveissi, Turibius Rozario, Ankit Goel
The application of neural networks in modeling dynamic systems has become prominent due to their ability to estimate complex nonlinear functions. Despite their effectiveness, neura…
Learning-based Attitude Estimation with Noisy Measurements and Unknown Gyro Bias
Parham Oveissi, Mohammad Mirtaba, Ankit Goel
This paper introduces a learning-based, data-driven attitude estimator, called the retrospective cost attitude estimator (RCAE), for the SO(3) attitude representation. RCAE is moti…
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…