Multiple-Spacecraft Reconfiguration Through Collision Avoidance, Bouncing, and Stalemate

Coordination and collision avoidance for Lagrangian systems with disturbances

“…As seen by the control laws (20), we have chosen the coordination graph to be 1 $ 2 $ 3. We simulated this system and the angular coordination plots are shown in Fig.…”

“…However, one of the open problems is how to efficiently apply these methods to multi-agent scenarios even in the case of very simple dynamic models describing motions of the individual agents. In the context of a multi-agent control and coordination problem where the agents' motion is described by kinematic models, the collision avoidance was addressed using multiobjective and decentralized optimization methods in _ Inalhan et al [17], heuristic methods in Kim et al [20], stochastic optimization for choosing conflict-free optimal maneuvers in Hu et al [15], navigation functions [21,34,35] in Dimarogonas et al [9], and attractive/repulsive potentials in [31,2]. In this paper, we follow the concept of avoidance control that was originally formulated by Leitmann and Skowronski in [24], and later further developed in [24,12,23,25,7,6].…”

Multi-agent Orbit Design for Visual Perception Enhancement Purpose

“…In another interesting field of study, researchers have addressed a coordinated trajectory design for multi-agent, multi-target systems in the context of formation flying. The formation flying research field seeks to develop strategies to control the formation of a satellite fleet in order to meet a global performance objective, and the focus of interest is to employ an adequate control strategy to maintain the desired formation [6][7][8][9][10]. In many applications, the ultimate goal is to effectively allocate each sensor to a target at any point in time [11,12].…”

Static output feedback stabilisation and synchronisation of complex networks with ℋ︁2 performance

“…In [19], a development mainly based on [20], proposed distributed dynamic output control for heterogenous systems interconnected over arbitrary graphs based on robust H ∞ control and dissipativity arguments. From an applications viewpoint, there have been attempts to design controllers that provide fuel optimal satellite formation flying [24]. In [25] there has also been work to design centralised optimal state feedback regulators for the synchronisation problem.…”