[HTML][HTML] State-of-the-Art Flocking Strategies for the Collective Motion of Multi-Robots
The technological revolution has transformed the area of labor with reference to automation
and robotization in various domains. The employment of robots automates these disciplines …
and robotization in various domains. The employment of robots automates these disciplines …
[HTML][HTML] Comparison of recent advances in set-membership techniques: Application to state estimation, fault detection and collision avoidance
D Silvestre - European Journal of Control, 2024 - Elsevier
There has been a vast body of research on set-membership techniques in recent years.
These algorithms compute convex sets that contain the state of a dynamical system given …
These algorithms compute convex sets that contain the state of a dynamical system given …
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
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
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
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 …