Constrained convex generators: A tool suitable for set-based estimation with range and bearing measurements
D Silvestre - IEEE Control Systems Letters, 2021 - ieeexplore.ieee.org
Autonomous vehicles in GPS-denied areas or when cooperating in missions might have
access to bearing and range measurements corrupted by noise, rendering the reachable set …
access to bearing and range measurements corrupted by noise, rendering the reachable set …
Decentralized adaptive flocking control algorithm with avoiding collision and preserving connectivity for crowded UUV swarm with uncertainties and input saturation
H Liang, H Cao, Y Fu - Ocean Engineering, 2021 - Elsevier
This paper investigates a decentralized adaptive flocking control for crowded unmanned
underwater vehicle (UUV) swarm in the presence of uncertainties and input saturation …
underwater vehicle (UUV) swarm in the presence of uncertainties and input saturation …
[HTML][HTML] A resilient continuous-time consensus method using a switching topology
This paper addresses the design problem of a resilient consensus algorithm for agents with
continuous-time dynamics. The main proposal is that by incorporating a switching …
continuous-time dynamics. The main proposal is that by incorporating a switching …
Model predictive control with collision avoidance for unknown environment
D Silvestre, G Ramos - IEEE Control Systems Letters, 2023 - ieeexplore.ieee.org
This letter proposes a model predictive control framework to design autonomous
rendezvous operations for terrestrial and space missions in the scope of spacecraft and …
rendezvous operations for terrestrial and space missions in the scope of spacecraft and …
Solving two-person zero-sum stochastic games with incomplete information using learning automata with artificial barriers
A Yazidi, D Silvestre… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Learning automata (LA) with artificially absorbing barriers was a completely new horizon of
research in the 1980s (Oommen, 1986). These new machines yielded properties that were …
research in the 1980s (Oommen, 1986). These new machines yielded properties that were …
On the trade-offs between accuracy, privacy, and resilience in average consensus algorithms
G Ramos, AMH Teixeira… - 2023 62nd IEEE …, 2023 - ieeexplore.ieee.org
There can be none. In this paper, we address the problem of a set of discrete-time
networked agents reaching average consensus privately and resiliently in the presence of a …
networked agents reaching average consensus privately and resiliently in the presence of a …
Distinguishability of discrete‐time linear systems
This article introduces the notion of absolutely distinguishable discrete‐time dynamic
systems, with particular applicability to linear time‐invariant and linear parameter‐varying …
systems, with particular applicability to linear time‐invariant and linear parameter‐varying …
The robust minimal controllability and observability problem
In this paper, we study the Robust Minimal Controllability and Observability Problem
(rMCOP). The scenario that motivated this question is related to the design of a drone …
(rMCOP). The scenario that motivated this question is related to the design of a drone …
Learning a data-efficient model for a single agent in homogeneous multi-agent systems
Abstract Training Reinforcement Learning (RL) policies for a robot requires an extensive
amount of data recorded while interacting with the environment. Acquiring such a policy on a …
amount of data recorded while interacting with the environment. Acquiring such a policy on a …
Accurate guaranteed state estimation for uncertain lpvs using constrained convex generators
D Silvestre - 2022 IEEE 61st Conference on Decision and …, 2022 - ieeexplore.ieee.org
Guaranteed state estimation for autonomous vehicles in GPS-denied areas that resort to
landmarks detection and onboard sensors requires set-membership techniques that are …
landmarks detection and onboard sensors requires set-membership techniques that are …