Justin Kennah

Education, Licensure and Certification (2)

M.S.: Electrical Engineering, Marquette University 2021

B.S.: Electrical Engineering, Pennsylvania State University 2018

Biography

Justin Kennah currently holds a master’s degree in electrical engineering and is working on his Ph.D. where his focus is on control systems. He received funding for the M.S. and Ph.D. through a GAANN Fellowship.

Areas of Expertise (5)

Optimal Controls

Nonlinear Controls

Control Systems

Control Theory

Stochastic Controls

Affiliations (3)

• Pi Mu Epsilon, Mathematics Honor Society : Member
• Tau Beta Pi, Engineering Honor Society : Member
• Phi Alpha Phi, Honor Society : Member

Research Interests (1)

Control Theory

Modeling, control, analysis, and estimation of nonlinear control systems with stochastic uncertainties

Selected Publications (3)

H_2 Optimal Control of a Class of Discrete-Time Nonlinear Stochastic Systems Using Static Output Feedback

Accepted for publication at the proceedings of the 12th International Conference of Control Systems, and Robotics (CDSR 2025)

Kennah, J.J., Yaz, E.E., Schneider, S.C.

2025 This paper considers static output feedback control for a general class of discrete-time stochastic nonlinear systems. A linear matrix inequality is presented which is used to determine a constant feedback gain matrix. If a solution to the linear matrix inequality exists, then the closed-loop response of the system is guaranteed to satisfy H_2 optimality in addition to achieving asymptotic stability in the mean square, and almost sure senses. Output feedback is used to eliminate the need to measure and/or estimate all of the states of the system. In this formulation, precise knowledge of the stochastic nonlinearity, or its statistics, are not needed. Rather, it is only required that an upper bound to the second moment of the stochastic nonlinearity can be determined.

Stabilization of a Class of Discrete-Time Nonlinear Stochastic Systems Using Static Output Feedback

Proceedings of the 11th International Conference of Control Systems, and Robotics (CDSR 2024)

Kennah, J.J., Yaz E.E., Schneider S.C.

2024 In this paper, static output feedback control is proposed to stabilize a general class of discrete-time stochastic nonlinear systems. Knowledge of the precise form of the nonlinearity or its statistics are not required. Instead, it is only necessary that a bound on the second moment of nonlinearity can be determined. The control gain is determined by solving a linear matrix inequality which is sufficient to show that the controlled system is stable in the mean square and almost sure senses.

A Dynamic System Testbed to Facilitate Controller and Estimator Designs and Its Application to Neoclassical Controllers

Marquette University

2021 This thesis proposes a testbed capable of validating experimental controller designs.Because it is undesirable to implement unvalidated controller designs on physical hardware, the need for an effective testbed arises. For the testbed to be useful, it should be easy to use and contain all the hardware and software necessary to implement a controller and analyze its response.

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