7 citations · 7 across the 7 of their papers we have counts for
9 papers
Lyapunov Constructions for System Interconnections Arising from Adaptation in Some Optimization Methods
Qixu Wang, Patrick McNamee, Zahra Nili Ahmadabadi +1
Interconnected systems have been widely studied, with a focus on interconnected systems whose subsystems are solely input-to-state stable (ISS) or passive systems. The focus of thi…
Logarithmic Barrier Functions for Practically Safe Extremum Seeking Control
Qixu Wang, Patrick McNamee, Zahra Nili Ahmadabadi
This paper presents a methodology for Practically Safe Extremum Seeking (PSfES), designed to optimize unknown objective functions while strictly enforcing safety constraints via a…
Servos for Local Map Exploration Onboard Nonholonomic Vehicles for Extremum Seeking
Dylan James-Kavanaugh, Patrick McNamee, Qixu Wang +1
Extremum seeking control (ESC) often employs perturbation-based estimates of derivatives for some sensor field or cost function. These estimates are generally obtained by simply mu…
Extremum Seeking (ES) is Practically Stable Whenever Model-Based ES is Stable
Patrick McNamee, Zahra Nili Ahmadabadi, Mirslav Krstić
Extremum seeking controllers (ESCs) are optimization algorithms in continuous time, with model-based ESCs using true derivative information of the cost function and model-free ESCs…
Adaptive Extremum Seeking Control via the RMSprop Optimizer
Patrick McNamee, Zahra Nili Ahmadabadi
Extremum Seeking Control (ESC) is a well-known set of continuous time algorithms for model-free optimization of a cost function. One issue for ESCs is the convergence rates of para…
Extremum Seeking is Stable for Scalar Maps that are Strictly but Not Strongly Convex
Patrick McNamee, Miroslav Krstić, Zahra Nili Ahmadabadi
For a map that is strictly but not strongly convex, model-based gradient extremum seeking has an eigenvalue of zero at the extremum, i.e., it fails at exponential convergence. Inte…
Feature Aggregation in Joint Sound Classification and Localization Neural Networks
Brendan Healy, Patrick McNamee, Zahra Nili Ahmadabadi
This study addresses the application of deep learning techniques in joint sound signal classification and localization networks. Current state-of-the-art sound source localization…
Autonomous search of real-life environments combining dynamical system-based path planning and unsupervised learning
Uyiosa Philip Amadasun, Patrick McNamee, Zahra Nili Ahmadabadi +1
In recent years, advancements have been made towards the goal of using chaotic coverage path planners for autonomous search and traversal of spaces with limited environmental cues.…
Online search of unknown terrains using a dynamical system-based path planning approach
Karan Sridharan, Patrick McNamee, Zahra Nili Ahmadabadi +1
Surveillance and exploration of large environments is a tedious task. In spaces with limited environmental cues, random-like search is an effective approach as it allows the robot…