Adaptive output feedback consensus tracking for linear multi-agent systems with unknown dynamics

Sun, Jing

doi:10.1080/00207179.2015.1015171

Cited by 28 publications

(17 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It also should be pointed out that similar conditions are required in many relevant literatures, e.g. distributed state feedback tracking control problems of nonlinear multi-agent systems (Das & Lewis, 2010;Sarand & Karimi, 2016;Zhang & Lewis, 2012 ) and distributed output feedback tracking control problems of linear multi-agent systems (Sun & Geng, 2015;Zhang et al, 2011). The condition can be easily checked by computing H and G in Equation (2).…”

Section: Remark 35mentioning

confidence: 90%

“…(2) Although the work in Zhang et al (2011) and Sun and Geng (2015) discussed the output feedback consensus tracking problem for multi-agent systems, the results are only suitable for identical general linear systems. Moreover, it was assumed that the graph was undirected in Sun and Geng (2015).…”

Section: Introductionmentioning

confidence: 98%

“…For a class of identical general linear systems, Zhang et al (2011) presented a framework for cooperative tracking control, including full-state feedback control, observer design and dynamic output feedback control by assuming the leader's control input to be zero, while Sun and Geng (2015) addressed the consensus tracking problem with unknown dynamics in the leader. Zou and Kumar (2012) investigated the problem of output feedback formation tracking control for a class of second-order nonlinear multi-agent systems in the presence of dynamic uncertainties and bounded external disturbances.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, it was assumed that the graph was undirected in Sun and Geng (2015). In this paper, we focus on the distributed adaptive output feedback tracking control problem of more general uncertain nonlinear systems.…”

Section: Introductionmentioning

confidence: 99%

“…As an alternative, in recent years, observer-based distributed control approaches have been developed to address linear or nonlinear multi-agent systems with immeasurable states (Chen, Ren, & Du, 2015b;Chen, Wen, Liu, & Liu, 2015a;Peng, Wang, Zhang, & Sun, 2014;Peng, Wang, Zhang, & Lin, 2015;Sun & Geng, 2015;Zhang, Lewis, & Das, 2011;Zou & Kumar, 2012 ). For a class of identical general linear systems, Zhang et al (2011) presented a framework for cooperative tracking control, including full-state feedback control, observer design and dynamic output feedback control by assuming the leader's control input to be zero, while Sun and Geng (2015) addressed the consensus tracking problem with unknown dynamics in the leader.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Distributed adaptive output feedback tracking control for a class of uncertain nonlinear multi-agent systems

Wang

Yan

et al. 2016

International Journal of Systems Science

View full text Add to dashboard Cite

This paper addresses the distributed output feedback tracking control problem for multi-agent systems with higher order nonlinear non-strict-feedback dynamics and directed communication graphs. The existing works usually design a distributed consensus controller using all the states of each agent, which are often immeasurable, especially in nonlinear systems. In this paper, based only on the relative output between itself and its neighbours, a distributed adaptive consensus control law is proposed for each agent using the backstepping technique and approximation technique of Fourier series (FS) to solve the output feedback tracking control problem of multi-agent systems. The FS structure is taken not only for tracking the unknown nonlinear dynamics but also the unknown derivatives of virtual controllers in the controller design procedure, which can therefore prevent virtual controllers from containing uncertain terms. The projection algorithm is applied to ensure that the estimated parameters remain in some known bounded sets. Lyapunov stability analysis shows that the proposed control law can guarantee that the output of each agent synchronises to the leader with bounded residual errors and that all the signals in the closed-loop system are uniformly ultimately bounded. Simulation results have verified the performance and feasibility of the proposed distributed adaptive control strategy.

show abstract

Section: Remark 35mentioning

confidence: 90%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Distributed adaptive output feedback tracking control for a class of uncertain nonlinear multi-agent systems

Wang

Yan

et al. 2016

International Journal of Systems Science

View full text Add to dashboard Cite

show abstract

Secure consensus of multi‐agent systems under denial‐of‐service attacks

Wen

Wang

et al. 2022

Asian Journal of Control

View full text Add to dashboard Cite

In this paper, we study the secure consensus problem for multiple‐input‐multiple‐output (MIMO) linear multi‐agent systems (MASs) subject to denial‐of‐service (DoS) attacks, where an attack on an agent will block its associated communication channels until it stops. Firstly, we design an unknown input observer (UIO), based upon which we develop a resilient consensus controller, where the UIO depends only on the relative outputs. By employing a common Lyapunov function (CLF) and using the average dwell‐time (ADT) method, we show that secure consensus is achieved if the attack length rate is not greater than a positive threshold. Secondly, we design a resilient consensus controller with different control gains. By using the multiple Lyapunov functions (MLFs) technique, we show that secure consensus is achieved if the attack length rate and the attack frequency are respectively not greater than the corresponding positive thresholds. Finally, we present an example of multiple YF‐22 research UAVs to demonstrate the theoretical results.

show abstract

Formation tracking control for multiple rigid bodies on matrix Lie groups: A system decomposition approach

Sun

2017

Intl J Robust & Nonlinear

Self Cite

View full text Add to dashboard Cite

Summary This paper addresses the finite‐time formation tracking control problem for multiple rigid bodies whose dynamics are defined on the matrix Lie groups, including the special Euclidean group SE(2),SE(3) as specific cases. The reference trajectory in a form of rotational and translational motions is generated offline in advance as the virtual leader for tracking. Moreover, the formation time is specified according to the task, and the desired formation shape is given a priori with respect to the virtual leader. By virtue of the system decomposition approach, intrinsic formation tracking laws are derived for arbitrary initial velocities for the rigid bodies. The tracking controllers are intrinsic meaning that the dynamics and controllers are developed in the body‐fixed frame without a global reference frame. Moreover, based on the geometric convex combination on SE(3), the result is extended to the distributed case where only the neighboring agents' state are used. Two numerical simulations on SE(2) and SE(3) are given respectively to illustrate the validity and robustness of the proposed controllers. Copyright © 2017 John Wiley & Sons, Ltd.

show abstract

Adaptive output feedback consensus tracking for linear multi-agent systems with unknown dynamics

Cited by 28 publications

References 35 publications

Distributed adaptive output feedback tracking control for a class of uncertain nonlinear multi-agent systems

Distributed adaptive output feedback tracking control for a class of uncertain nonlinear multi-agent systems

Secure consensus of multi‐agent systems under denial‐of‐service attacks

Formation tracking control for multiple rigid bodies on matrix Lie groups: A system decomposition approach

Contact Info

Product

Resources

About