275 citations · 624 across the 32 of their papers we have counts for
9 papers · 1 filter
The Lagrangian Method for Solving Constrained Markov Games
Soham Das, Santiago Paternain, Luiz F. O. Chamon +1
We propose the concept of a Lagrangian game to solve constrained Markov games. Such games model scenarios where agents face cost constraints in addition to their individual rewards…
Distributed Universal Adaptive Networks
Cassio G. Lopes, Vítor H. Nascimento, Luiz F. O. Chamon
Adaptive networks (ANs) are effective real time techniques to process and track events observed by sensor networks and, more recently, to equip Internet of Things (IoT) application…
Resilient Control: Compromising to Adapt
Luiz F. O. Chamon, Alexandre Amice, Santiago Paternain +1
In optimal control problems, disturbances are typically dealt with using robust solutions, such as H-infinity or tube model predictive control, that plan control actions feasible f…
Approximately Supermodular Scheduling Subject to Matroid Constraints
Luiz F. O. Chamon, Alexandre Amice, Alejandro Ribeiro
Control scheduling refers to the problem of assigning agents or actuators to act upon a dynamical system at specific times so as to minimize a quadratic control cost, such as the o…
Counterfactual Programming for Optimal Control
Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
In recent years, considerable work has been done to tackle the issue of designing control laws based on observations to allow unknown dynamical systems to perform pre-specified tas…
Risk-Aware MMSE Estimation
Dionysios S. Kalogerias, Luiz F. O. Chamon, George J. Pappas +1
Despite the simplicity and intuitive interpretation of Minimum Mean Squared Error (MMSE) estimators, their effectiveness in certain scenarios is questionable. Indeed, minimizing sq…
Approximate Supermodularity of Kalman Filter Sensor Selection
Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro
This work considers the problem of selecting sensors in a large scale system to minimize the error in estimating its states. More specifically, the state estimation mean-square err…
Source Seeking in Unknown Environments with Convex Obstacles
Bruno A. Angélico, Luiz F. O. Chamon, Santiago Paternain +2
Navigation tasks often cannot be defined in terms of a target, either because global position information is unavailable or unreliable or because target location is not explicitly…
Combination of LMS Adaptive Filters with Coefficients Feedback
Luiz F. O. Chamon, Cassio G. Lopes
Parallel combinations of adaptive filters have been effectively used to improve the performance of adaptive algorithms and address well-known trade-offs, such as convergence rate v…