1,630 research outputs found
Bearing-Based Target Entrapping Control of Multiple Uncertain Agents With Arbitrary Maneuvers
This paper is concerned with bearing-based cooperative target entrapping
control of multiple uncertain agents with arbitrary maneuvers including shape
deformation, rotations, scalings, etc. A leader-follower structure is used,
where the leaders move with the predesigned trajectories, and the followers are
steered by an estimation-based control method, integrating a distance estimator
using bearing measurements and a stress matrix-based formation controller. The
signum functions are used to compensate for the uncertainties so that the
agents' accelerations can be piecewise continuous and bounded to track the
desired dynamics. With proper design of the leaders' trajectories and a
geometric configuration, an affine matrix is determined so that the
persistently exciting conditions of the inter-agent relative bearings can be
satisfied since the bearing rates are related to different weighted
combinations of the affine matrix vectors. The asymptotic convergence of the
estimation error and control error is proved using Filipov properties and
cascaded system theories. A sufficient condition for inter-agent collision
avoidance is also proposed. Finally, simulation results are given to validate
the effectiveness of the method in both 2D and 3D cases.Comment: 13 pages, 6 figures, the paper has been accepted by IFAC WC 202
Coordinated multi-robot formation control
Tese de doutoramento. Engenharia Electrotécnica e de Computadores. Faculdade de Engenharia. Universidade do Porto. 201
Optimal Time-Invariant Distributed Formation Tracking for Second-Order Multi-Agent Systems
This paper addresses the optimal time-invariant formation tracking problem
with the aim of providing a distributed solution for multi-agent systems with
second-order integrator dynamics. In the literature, most of the results
related to multi-agent formation tracking do not consider energy issues while
investigating distributed feedback control laws. In order to account for this
crucial design aspect, we contribute by formalizing and proposing a solution to
an optimization problem that encapsulates trajectory tracking, distance-based
formation control, and input energy minimization, through a specific and key
choice of potential functions in the optimization cost. To this end, we show
how to compute the inverse dynamics in a centralized fashion by means of the
Projector-Operator-based Newton's method for Trajectory Optimization (PRONTO)
and, more importantly, we exploit such an offline solution as a general
reference to devise a novel online distributed control law. Finally, numerical
examples involving a cubic formation following a straight path in the 3D space
are provided to validate the proposed control strategies.Comment: 28 pages, 2 figures, submitted to the European Journal of Control on
June 23rd, 2023 (version 1
Vision-based control of multi-agent systems
Scope and Methodology of Study: Creating systems with multiple autonomous vehicles places severe demands on the design of decision-making supervisors, cooperative control schemes, and communication strategies. In last years, several approaches have been developed in the literature. Most of them solve the vehicle coordination problem assuming some kind of communications between team members. However, communications make the group sensitive to failure and restrict the applicability of the controllers to teams of friendly robots. This dissertation deals with the problem of designing decentralized controllers that use just local sensor information to achieve some group goals.Findings and Conclusions: This dissertation presents a decentralized architecture for vision-based stabilization of unmanned vehicles moving in formation. The architecture consists of two main components: (i) a vision system, and (ii) vision-based control algorithms. The vision system is capable of recognizing and localizing robots. It is a model-based scheme composed of three main components: image acquisition and processing, robot identification, and pose estimation.Using vision information, we address the problem of stabilizing groups of mobile robots in leader- or two leader-follower formations. The strategies use relative pose between a robot and its designated leader or leaders to achieve formation objectives. Several leader-follower formation control algorithms, which ensure asymptotic coordinated motion, are described and compared. Lyapunov's stability theory-based analysis and numerical simulations in a realistic tridimensional environment show the stability properties of the control approaches
Synchronization of multiple rigid body systems: a survey
The multi-agent system has been a hot topic in the past few decades owing to
its lower cost, higher robustness, and higher flexibility. As a particular
multi-agent system, the multiple rigid body system received a growing interest
since its wide applications in transportation, aerospace, and ocean
exploration. Due to the non-Euclidean configuration space of attitudes and the
inherent nonlinearity of the dynamics of rigid body systems, synchronization of
multiple rigid body systems is quite challenging. This paper aims to present an
overview of the recent progress in synchronization of multiple rigid body
systems from the view of two fundamental problems. The first problem focuses on
attitude synchronization, while the second one focuses on cooperative motion
control in that rotation and translation dynamics are coupled. Finally, a
summary and future directions are given in the conclusion
Formation Control Algorithms With Limited or No Communication
Formation control refers to a collective behaviour of multi-agent systems where individual agents come together to form a pattern, often geometric. These formations can enable multi-agent systems to function more effectively in a broad range of applications. Many formation control algorithms require centralized decision making, communication between agents or a centralized decision maker and other factors that increase per-agent cost and reduce the robustness and scalability of multi-agent systems. To this end, we introduce two algorithms that operate using local decision making and limited or no communication. The first algorithm is a communication-free and index-free algorithm based on polar indicator distributions. The second is a progressive assignment algorithm using limited, situated communication that deterministically assigns agents a position in the objective formation along a convex spiral directed path graph. We also present an extension of the second algorithm for 3-dimensional formation definitions. The first algorithm is demonstrated in a physical experiment using ground-based agents while the second one is simulated using micro air vehicles (MAVs) in a physics-based simulator
A Review of Consensus-based Multi-agent UAV Applications
In this paper, a review of distributed control for multi-agent systems is proposed, focusing on consensus-based applications. Both rotary-wing and fixed-wing Unmanned Aerial Vehicles (UAVs) are considered. On one side, methodologies and implementations based on collision and obstacle avoidance through consensus are analyzed for multirotor UAVs. On the other hand, a target tracking through consensus is considered for fixed-wing UAVs. This novel approach to classify the literature could help researchers to assess the outcomes achieved in these two directions in view of potential practical implementations of consensus-based methodologies
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