activity
20062024
most citedPrimitive operations for the construction and reorganization of minimally persistent formations

15 citations · 38 across the 26 of their papers we have counts for

collaborators

28 papers

cs.RO2024

Dual Agent Learning Based Aerial Trajectory Tracking

Shaswat Garg, Houman Masnavi, Baris Fidan +1

This paper presents a novel reinforcement learning framework for trajectory tracking of unmanned aerial vehicles in cluttered environments using a dual-agent architecture. Traditio…

eess.SY2024

Observer-Based Control of Second-Order Multi-vehicle Systems in Bearing-Persistently Exciting Formations

Zhiqi Tang, Baris Fidan, Karl H. Johansson +2

This paper proposes an observer-based formation tracking control approach for multi-vehicle systems with second-order motion dynamics, assuming that vehicles' relative or global po…

cs.RO2024

Approximate Environment Decompositions for Robot Coverage Planning using Submodular Set Cover

Megnath Ramesh, Frank Imeson, Baris Fidan +1

In this paper, we investigate the problem of decomposing 2D environments for robot coverage planning. Coverage path planning (CPP) involves computing a cost-minimizing path for a r…

math.OC2024

A Multi-Player Potential Game Approach for Sensor Network Localization with Noisy Measurements

Gehui Xu, Guanpu Chen, Baris Fidan +4

Sensor network localization (SNL) is a challenging problem due to its inherent non-convexity and the effects of noise in inter-node ranging measurements and anchor node position. W…

eess.SY2024★ 1 cited

Multiple Model Reference Adaptive Control with Blending for Non-Square Multivariable Systems

Alex Lovi, Baris Fidan, Christopher Nielsen

In this paper we develop a multiple model reference adaptive controller (MMRAC) with blending. The systems under consideration are non-square, i.e., the number of inputs is not equ…

math.OC2024★ 4 cited

Global solution to sensor network localization: A non-convex potential game approach and its distributed implementation

Gehui Xu, Guanpu Chen, Yiguang Hong +3

Consider a sensor network consisting of both anchor and non-anchor nodes. We address the following sensor network localization (SNL) problem: given the physical locations of anchor…