A distributed control approach for heterogeneous linear multiagent systems

Sarsılmaz, Selahattin Burak; Yucelen, Tansel

doi:10.1080/00207179.2019.1651455

Cited by 10 publications

(3 citation statements)

References 21 publications

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“…In particular, a distributed dynamic state feedback control law solves the cooperative output regulation problem. [17][18][19][20][21] However, the available tools to synthesize the distributed dynamic state feedback control gains are more limited than those to synthesize the distributed static ones.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The cooperative output regulation problem requires a more complicated control law than the static state feedback one. In particular, a distributed dynamic state feedback control law solves the cooperative output regulation problem 17‐21 . However, the available tools to synthesize the distributed dynamic state feedback control gains are more limited than those to synthesize the distributed static ones.…”

Section: Introductionmentioning

confidence: 99%

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Leader‐following consensus of a class of heterogeneous uncertain multi‐agent systems with a distributed model reference adaptive control law

Naleini

Koru²,

Lewis³

2023

Adaptive Control & Signal

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This paper considers the leader-following consensus problem of a multi-agent system whose agents have heterogeneous uncertain dynamics in homogeneous state dimensions. Each agent utilizes a distributed model reference adaptive control (MRAC) law to deal with uncertainties. The nominal part of the MRAC is a distributed static state feedback control law. The reference model is the leader-following consensus problem of reference agents with homogeneous linear time-invariant dynamics. This problem becomes an N-player graphical differential game under a given cost function. The reference agents utilize distributed static state feedback controllers that constitute a Nash equilibrium solution to the graphical differential game. This paper provides the conditions for the distributed MRAC to guarantee that each agent asymptotically tracks the corresponding reference agent; consequently, the multi-agent system solves the leader-following consensus problem as the reference model does. These conditions yield a straightforward design method for the MRAC. A numerical example demonstrates an application of the proposed approach to a multi-robot system with nonlinear dynamics.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Leader‐following consensus of a class of heterogeneous uncertain multi‐agent systems with a distributed model reference adaptive control law

Naleini

Koru²,

Lewis³

2023

Adaptive Control & Signal

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“…Linear MASs have been studied in various literature (Feng et al, 2021a; Li et al, 2021; Patel and Mehta, 2020; Sarsilmaz and Yucelen, 2021; Zhang et al, 2020). Furthermore, in various research articles (Belfo et al, 2021; Cai et al, 2021; Chen et al, 2020; Feng et al, 2021b; Gu et al, 2019), consensus problem for a nonlinear class of MASs has also been studied.…”

Section: Introductionmentioning

confidence: 99%

H∞ smooth switching distributed consensus controller for uncertain time-delay switched LPV multi-agent systems

Moradi

Safarinejadian

Shafiei

2022

Transactions of the Institute of Measurement and Control

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This paper presents an approach to design [Formula: see text] smooth switching distributed linear parameter-varying (LPV) controller for consensus of LPV multi-agent systems (MASs) with a large range of parameter variations, uncertainty, input disturbance, and time-varying delay. By dividing the region of variable parameters into subregions with overlaps, a [Formula: see text] smooth switching distributed sliding mode LPV controller with a switched dynamic sliding surface is designed for each subregion and the controller in overlapping subregions is interpolated from two adjacent subregions. This control problem is formulated into parametric linear matrix inequality (LMI), which is solved by convex optimization algorithms. To illustrate the efficacy of the result, it is applied to consensus of practical vertical take-off and landing (VTOL) helicopter MAS.

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A Distributed Adaptive Control Approach to Cooperative Output Regulation of a Class of Heterogeneous Uncertain Multi-agent Systems

Sarsılmaz,

Koru,

Yucelen

et al. 2023

Advances in Industrial Control

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A distributed control approach for heterogeneous linear multiagent systems

Cited by 10 publications

References 21 publications

Leader‐following consensus of a class of heterogeneous uncertain multi‐agent systems with a distributed model reference adaptive control law

Leader‐following consensus of a class of heterogeneous uncertain multi‐agent systems with a distributed model reference adaptive control law

H∞ smooth switching distributed consensus controller for uncertain time-delay switched LPV multi-agent systems

A Distributed Adaptive Control Approach to Cooperative Output Regulation of a Class of Heterogeneous Uncertain Multi-agent Systems

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