In conjunction with Dr. Moble Benedict (AVFL Lab – TAMU), Dr Puneet Singla (CASS Lab – Penn State), and Dr. Randy Beard (MAGICC Lab – BYU), Dr. Valasek presented the current updates of the System Identification project at the National Science Foundation (NSF) CAAMS Summer Industry Advisory Board Meeting.
The project “Integration of System Theory with Machine Learning Tools for Data Driven System Identification” integrates system theory with machine learning tools for data driven system identification. The objective is to derive nonlinear dynamical models by employing a unique handshake between linear time varying subspace methods and sparse approximation tools from high fidelity flight simulations and flight experiments.
The center is a partnership between academia, industry, and government to offer pre-competitive research in autonomous air mobility and sensing. Pictured (left to right) are Undergraduate Researcher Halle Vandersloot, PhD student Cassie-Kay McQuinn, Dr. Valasek, and TAMU AERO alum and VP of Engineering of VectorNav Dr. Jeremy Davis.



VSCL Graduate Research Assistant and Ph.D Student Chris Leshikar has been selected for a Summer 2023 internship with the
VSCL Graduate Research Assistant and Ph.D Student Hannah Lehman has been selected for a Summer 2023 research internship at
VSCL Graduate Research Assistant and MS student MD-Nazmus Sunbeam has been selected for a Summer 2023 internship with
VSCL Graduate Research Assistant and MS Student Cassie-Kay McQuinn has been selected for a Summer 2023 research internship at the
VSCL Graduate Research Assistant 





Kameron Eves will be presenting the paper “Adaptive Control for Non-minimum Phase Systems Via Time Scale Separation,”. Adaptive control for non-minimum phase systems remains a challenging problem. Eves proposes a method of adaptive control for systems that may be both nonlinear and non-minimum phase. This is accomplished by exploiting time scale separation between the internal and external dynamics.
On September 28, 2022, Maison Clouatre and John Valasek of VSCL, in tandem with Mark Balas of the Texas A&M Mechanical Engineering Department and Vinod Gehlot of NASA Jet Propulsion Laboratory, published the paper “Linear Quantum State Observers” in IEEE Transactions on Quantum Engineering. This paper develops fundamental results for using linear observers to infer an unknown state of a quantum dynamical system. The theoretical contributions of the article are three-fold:
This publication is part of VSCL’s ongoing work in the area of control for quantum information systems. The early access version of the article can be viewed on IEEE’s website: 

