Robust  containment control of heterogeneous multi‐agent systems with structured uncertainty and external disturbances

Atrianfar, Hajar; Karimi, Abolghasem

doi:10.1002/rnc.5860

Cited by 8 publications

(4 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…then both the states and faults of the MASs ( 1) or ( 2) can be estimated simultaneously by the decentralized PI observer (6) for any 𝜀 ∈ (0, 𝜀 * ], where…”

Section: Define the Estimation Error Ementioning

confidence: 99%

“…On one hand, the external disturbances may lead to the performance degradation of the control system. In order to mitigate the impact of external disturbances on consensus of MASs, the authors in References 6–8 proposed several robust consensus methods to improve the anti‐interference ability of MASs, and a disturbance observer‐based disturbance attenuation control approach 9 is proposed for a class of stochastic systems with multiple disturbances. On the other hand, the unexpected failures can seriously impact on consensus of MASs.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Proportional integral observer‐based robust fault‐tolerant consensus for nonlinear two‐time‐scale‐agent systems with heterogeneous sensor faults

Yang,

Chen,

Wang

2024

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

This article studies the fault‐tolerant consensus issue of a class of nonlinear two‐time‐scale‐agent systems with heterogeneous sensor faults and external disturbances. First, the decentralized proportional integral (PI) observer for each agent is constructed to estimate the states and sensor faults simultaneously. Then, a distributed adaptive protocol based on the decentralized PI observer is designed to guarantee the consensus of the underlying systems. Some sufficient existence conditions are given in terms of linear matrix inequalities (LMIs) for the decentralized PI observer and the fault tolerant consensus protocol. Note that performance index is employed to attenuate the influence of sensor faults and disturbances on state estimation and the consensus of the underlying systems. Finally, the effectiveness and superiority of the proposed method are demonstrated by an application example and a numerical example.

show abstract

“…then both the states and faults of the MASs ( 1) or ( 2) can be estimated simultaneously by the decentralized PI observer (6) for any 𝜀 ∈ (0, 𝜀 * ], where…”

Section: Define the Estimation Error Ementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Proportional integral observer‐based robust fault‐tolerant consensus for nonlinear two‐time‐scale‐agent systems with heterogeneous sensor faults

Yang,

Chen,

Wang

2024

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

show abstract

“…Convergence conditions are derived using Lyapunov functions, addressing simultaneously time-varying delays. Finally, robust containment control for diverse linear multi-agent systems under structured uncertainties and external disturbances is addressed in [28]. Introducing a novel neighborhood error concept, this work transforms the containment control problem into an output regulation problem, and, via distributed compensator and robust control strategies, it establishes conditions that ensure that the followers converge to the leaders' convex hull with the specified performance.…”

Section: Related Workmentioning

confidence: 99%

Robust Distributed Containment Control with Adaptive Performance and Collision Avoidance for Multi-Agent Systems

Bechlioulis

2024

Electronics

View full text Add to dashboard Cite

This paper deals with the containment control problem for multi-agent systems. The objective is to develop a distributed control scheme that leads a sub-group of the agents, called followers, within the convex hull that is formed by the leaders, which operate autonomously. Towards this direction, we propose a twofold approach comprising the following: (i) a cyber layer, where the agents establish, through the communication network, a consensus on a reference trajectory that converges exponentially fast within the convex hull of the leaders and (ii) a physical layer, where each agent tracks the aforementioned trajectory while avoiding collisions with other members of the multi-agent team. The main contributions of this work lie in the robustness of the proposed framework in both the trajectory estimation and the tracking control tasks, as well as the guaranteed collision avoidance, despite the presence of dynamic leaders and bounded but unstructured disturbances. A simulation study of a multi-agent system composed of five followers and four leaders demonstrates the applicability of the proposed scheme and verifies its robustness against both external disturbances that act on the follower model and the dynamic motion of the leaders. A comparison with a related work is also included to outline the strong properties of the proposed approach.

show abstract

“…Considering the presence of unavoidable external disturbances in real systems, FCC with disturbances was further investigated in Refs. [15,16].…”

Section: Introductionmentioning

confidence: 99%

Team-based fixed-time containment control for multi-agent systems with disturbances

Zhao 赵,

Wang 王,

Lai 赖

et al. 2023

Chinese Phys. B

View full text Add to dashboard Cite

This paper investigates the fixed-time containment control (FCC) problem of multi-agent systems (MASs) under discontinuous communication. A saturation function is used in the controller to achieve the containment control in MASs. One difference from using a symbolic function is that it avoids the differential calculation process for discontinuous functions, which further ensures the continuity of the control input. Considering the discontinuous communication, a dynamic variable is constructed that is always non-negative between any two communications of the agent. Based on the designed variable, the dynamic event-triggered algorithm is proposed to achieve FCC, which can effectively reduce controller updates. In addition, we further design a new event-triggered algorithm to achieve FCC, called the team-trigger mechanism, which combines the self-triggering technique with the proposed dynamic event trigger mechanism. It has faster convergence time than the proposed dynamic event triggering technique and achieves the tradeoff between communication cost, convergence time and number of triggers in MASs. Finally, Zeno behavior is excluded and the validity of the proposed theory is confirmed by simulation.

show abstract

Robust containment control of heterogeneous multi‐agent systems with structured uncertainty and external disturbances

Cited by 8 publications

References 27 publications

Proportional integral observer‐based robust fault‐tolerant consensus for nonlinear two‐time‐scale‐agent systems with heterogeneous sensor faults

Proportional integral observer‐based robust fault‐tolerant consensus for nonlinear two‐time‐scale‐agent systems with heterogeneous sensor faults

Robust Distributed Containment Control with Adaptive Performance and Collision Avoidance for Multi-Agent Systems

Team-based fixed-time containment control for multi-agent systems with disturbances

Contact Info

Product

Resources

About