Simultaneous Velocity and Position Estimation via Distance-only Measurements with Application to Multi-Agent System Control
It addresses the challenge of state estimation in multi-agent systems with limited sensing (distance-only), enabling control applications where other measurements are unavailable.
This paper proposes a method to estimate both velocity and position of neighbor agents using only distance measurements, by assuming agents follow circular and linear motions. The approach enables formation shape and velocity control in multi-agent systems, with simulation results demonstrating its effectiveness.
This paper proposes a strategy to estimate the velocity and position of neighbor agents using distance measurements only. Since with agents executing arbitrary motions, instantaneous distance-only measurements cannot provide enough information for our objectives, we postulate that agents engage in a combination of circular motion and linear motion. The proposed estimator can be used to develop control algorithms where only distance measurements are available to each agent. As an example, we show how this estimation method can be used to control the formation shape and velocity of the agents in a multi agent system. Simulation results are provided to illustrate the performance of the proposed algorithm.