Consensus Protocols for Heterogeneous Multiagent Systems with Disturbances via Integral Sliding Mode Control

Ye, Hongtao; Li, Mengmeng; Luo, Wenguang

doi:10.1155/2018/6214789

Cited by 4 publications

(2 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A Kalman filter based nonlinear consensus approach is also developed in [21]. To consider the uncertainty in the evolution of the system dynamics and in signals transmissions and communications, a rich body of the literature has discussed the consensus problem of stochastic complex dynamical networks [22]- [24]. The coupling between the network subsystems, however, has been addressed through synchronisation methods [25]- [27], a topic which is closely related to the consensus of multi-agent systems.…”

Section: Introductionmentioning

confidence: 99%

Decentralised Probabilistic Consensus Control for Stochastic Complex Dynamical Networks

Herzallah

2021

IEEE Control Syst. Lett.

View full text Add to dashboard Cite

This paper is concerned with the consensus analysis and control problems for a class of stochastic complex dynamical networks (SCDNs) that consists of a large number of interconnected nodes. In particular, a unified probabilistic decentralised consensus control framework is established where decentralised randomised controllers are designed such that the individual subsystems in a network synchronise their states with each other to achieve consensus of the whole network. The proposed framework is quite general, where all the components within this framework including local controllers, systems' models, and communications between the subsystems of a complex system are modelled using probabilistic models. The general solution for arbitrary probabilistic models of the framework components is obtained then demonstrated on a class of linear Gaussian complex systems, thus obtaining the desired results. Furthermore, a numerical example is presented to illustrate the effectiveness and the usefulness of the theoretical development.

show abstract

Section: Introductionmentioning

confidence: 99%

Decentralised Probabilistic Consensus Control for Stochastic Complex Dynamical Networks

Herzallah

2021

IEEE Control Syst. Lett.

View full text Add to dashboard Cite

show abstract

“…[28,29]. References [30][31][32][33] addressed the consensus problem for nonlinear heterogeneous multiagent systems. However, none of these references have considered unmatched disturbance in the dynamical model of agents.…”

Section: Introductionmentioning

confidence: 99%

Observer-Based Consensus of Higher-Order Nonlinear Heterogeneous Multiagent Systems with Unmatched Uncertainties: Application on Robotic Systems

Rahimi¹,

Binazadeh²,

Shasadeghi³

2019

Robotica

View full text Add to dashboard Cite

Summary The consensus of higher-order nonlinear heterogeneous multiagent systems with matched and unmatched uncertainties is studied in this paper. The distributed observer-based controllers for multiagent systems are achieved using a fixed-time sliding mode controller based on the disturbance observer. For this purpose, the disturbance observers are designed for finite-time estimation of matched and unmatched uncertainties. Using the estimated values, the fixed-time distributed sliding mode controllers are designed and the consensus protocol is achieved. In this regard, a theorem is proved, which guarantees the fixed-time convergence of consensus errors. The effectiveness of the proposed distributed controllers has been validated through simulations for two robotic multiagent systems and a numerical example.

show abstract

Recent advances on cooperative control of heterogeneous multi-agent systems subject to constraints: a survey

Bao

2022

Systems Science & Control Engineering

100

View full text Add to dashboard Cite

Consensus Protocols for Heterogeneous Multiagent Systems with Disturbances via Integral Sliding Mode Control

Cited by 4 publications

References 27 publications

Decentralised Probabilistic Consensus Control for Stochastic Complex Dynamical Networks

Decentralised Probabilistic Consensus Control for Stochastic Complex Dynamical Networks

Observer-Based Consensus of Higher-Order Nonlinear Heterogeneous Multiagent Systems with Unmatched Uncertainties: Application on Robotic Systems

Recent advances on cooperative control of heterogeneous multi-agent systems subject to constraints: a survey

Contact Info

Product

Resources

About