2 citations · 8 across the 32 of their papers we have counts for
36 papers · 1 filter
Switching Observers for Linear Systems: Beyond Individual Observability
Masoud S. Sakha, Rushikesh Kamalapurkar
This paper develops an LMI-based switching observer for linear time-invariant systems with two output channels, where only one output is available at any given time. We assume that…
On the embedding transformation for optimal control of multi-mode switched systems
Masoud S. Sakha, Rushikesh Kamalapurkar
This paper develops an embedding-based approach to solve switched optimal control problems (SOCPs) with an arbitrary number of subsystems. Initially, the discrete switching signal…
Lyapunov-Based Physics-Informed Deep Neural Networks with Skew Symmetry Considerations
Rebecca G. Hart, Wanjiku A. Makumi, Rushikesh Kamalapurkar +1
Deep neural networks (DNNs) are powerful black-box function approximators which have been shown to yield improved performance compared to traditional neural network (NN) architectu…
Safe Output-Feedback Adaptive Optimal Control of Affine Nonlinear Systems
Tochukwu E. Ogri, Muzaffar Qureshi, Zachary I. Bell +2
In this paper, we develop a safe control synthesis method that integrates state estimation and parameter estimation within an adaptive optimal control (AOC) and control barrier fun…
Improved Dwell-times for Switched Nonlinear Systems using Memory Regression Extension
Muzaffar Qureshi, Tochukwu Elijah Ogri, Humberto Ramos +3
This paper presents a switched systems approach for extending the dwell-time of an autonomous agent during GPS-denied operation by leveraging memory regressor extension (MRE) techn…
A Taylor Series Approach to Correction of Input Errors in Gaussian Process Regression
Muzaffar Qureshi, Tochukwu Elijah Ogri, Zachary I. Bell +2
Gaussian Processes (GPs) are widely recognized as powerful non-parametric models for regression and classification. Traditional GP frameworks predominantly operate under the assump…