27 citations · 32 across the 9 of their papers we have counts for
11 papers
A Dynamic Mode Decomposition Approach to Parameter Identification
Moad Abudia, Opeyemi Owolabi, Joel A. Rosenfeld +1
This paper develops a data-driven algorithm for simultaneous system and parameter identification in control-affine nonlinear systems. Parameter identification is achieved by traini…
On Dynamic Mode Decomposition of Control-affine Systems
Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar
This paper builds on the theoretical foundations for dynamic mode decomposition (DMD) of control-affine dynamical systems by leveraging the theory of vector-valued reproducing kern…
On Convergent Dynamic Mode Decomposition and its Equivalence with Occupation Kernel Regression
Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar
This paper presents a new technique for norm-convergent dynamic mode decomposition of deterministic systems. The developed method utilizes recent results on singular dynamic mode d…
Dynamic Mode Decomposition of Control-Affine Nonlinear Systems using Discrete Control Liouville Operators
Zachary Morrison, Moad Abudia, Joel Rosenfeld +1
Representation of nonlinear dynamical systems as infinite-dimensional linear operators over Hilbert spaces enables analysis of nonlinear systems via pseudo-spectral operator analys…
Carleman Lifting for Nonlinear System Identification with Guaranteed Error Bounds
Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar
This paper concerns identification of uncontrolled or closed loop nonlinear systems using a set of trajectories that are generated by the system in a domain of attraction. The obje…
Safe Controller for Output Feedback Linear Systems using Model-Based Reinforcement Learning
S M Nahid Mahmud, Moad Abudia, Scott A Nivison +2
The objective of this research is to enable safety-critical systems to simultaneously learn and execute optimal control policies in a safe manner to achieve complex autonomy. Learn…
Safety aware model-based reinforcement learning for optimal control of a class of output-feedback nonlinear systems
S M Nahid Mahmud, Moad Abudia, Scott A Nivison +2
The ability to learn and execute optimal control policies safely is critical to realization of complex autonomy, especially where task restarts are not available and/or the systems…
The kernel perspective on dynamic mode decomposition
Efrain Gonzalez, Moad Abudia, Michael Jury +2
This manuscript revisits theoretical assumptions concerning dynamic mode decomposition (DMD) of Koopman operators, including the existence of lattices of eigenfunctions, common eig…
Control Occupation Kernel Regression for Nonlinear Control-Affine Systems
Moad Abudia, Tejasvi Channagiri, Joel A. Rosenfeld +1
This manuscript presents an algorithm for obtaining an approximation of a nonlinear high order control affine dynamical system. Controlled trajectories of the system are leveraged…
Switched Optimal Control and Dwell Time Constraints: A Preliminary Study
Moad Abudia, Michael Harlan, Ryan Self +1
Most modern control systems are switched, meaning they have continuous as well as discrete decision variables. Switched systems often have constraints called dwell-time constraints…
Online inverse reinforcement learning with unknown disturbances
Ryan Self, Moad Abudia, Rushikesh Kamalapurkar
This paper addresses the problem of online inverse reinforcement learning for nonlinear systems with modeling uncertainties while in the presence of unknown disturbances. The devel…