A Game Theoretic Approach to Distributed Planning of Multi-Agent Systems under Temporal Logic Specifications

Kamp, Levi Vande; Koochakzadeh, Abbasali; Yazıcıoğlu, Yasin; Aksaray, Derya

doi:10.2514/6.2023-1657

Cited by 1 publication

(2 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The first group focuses on consensus based on the arrangement of mobile agents, including mobile robots, air fleet vehicles (drones), satellites, airplanes, autonomous underwater vehicles (AUV), and automated highway systems [1][2][3]. The second type of collaborative algorithm is non-consensus collaborative control algorithms, which include job assignment, load carrying, role assignment, air traffic control, formation control, and search and scheduling [4][5][6]. In [4], the distributed planning of MAS for visiting a certain region is studied using the game theory.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The second type of collaborative algorithm is non-consensus collaborative control algorithms, which include job assignment, load carrying, role assignment, air traffic control, formation control, and search and scheduling [4][5][6]. In [4], the distributed planning of MAS for visiting a certain region is studied using the game theory. In [5], the leader-follower problem of multiple mobile robots is solved using the Lyapunov redesign method and [6] has designed a robust distributed observer for non-linear MAS where the graph among the agents will not remain connected in all of the time.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Hybrid finite‐time fault‐tolerant consensus control of non‐linear fractional order multi‐agent systems based on fault detection and estimation

Nazifi,

Pourgholi

2024

IET Control Theory & Appl

View full text Add to dashboard Cite

This paper addresses the problem of achieving finite‐time fault‐tolerant consensus control for a class of non‐linear fractional‐order multi‐agent systems (NFO‐MAS) using finite‐time fault detection and estimation, as well as a finite‐time state observer. To achieve this, a specific lemma is utilized to rewrite the high‐order model of NFO‐MAS as a lower‐order NFO unique system. By employing new identification rules and introducing a fault estimation method, both the state variables and faults of the agents are estimated within a finite time. Subsequently, a finite‐time sliding mode control law is designed based on the estimated fault and the state variables obtained from the proposed finite‐time observer to achieve consensus within a finite time for the fractional‐order non‐linear MAS. The stability of the fault estimation, state observer, and consensus controller is proven using the finite‐time Lyapunov theory. The effectiveness of the proposed approach is demonstrated through numerical simulations.

show abstract