Next Article in Journal
An Entropy-Based Upper Bound Methodology for Robust Predictive Multi-Mode RCPSP Schedules
Next Article in Special Issue
A Note on Distance-based Graph Entropies
Previous Article in Journal
Ab Initio and Monte Carlo Approaches For the Magnetocaloric Effect in Co- and In-Doped Ni-Mn-Ga Heusler Alloys
Previous Article in Special Issue
Existence of Entropy Solutions for Nonsymmetric Fractional Systems
Open AccessArticle

Adaptive Leader-Following Consensus of Multi-Agent Systems with Unknown Nonlinear Dynamics

1
Department of Applied Mathematics, Guangdong University of Foreign Studies, Guangzhou 510006, China
2
Faculty of Automation, Guangdong University of Technology, Guangzhou 510006, China
*
Author to whom correspondence should be addressed.
Entropy 2014, 16(9), 5020-5031; https://doi.org/10.3390/e16095020
Received: 10 August 2014 / Revised: 13 September 2014 / Accepted: 15 September 2014 / Published: 22 September 2014
(This article belongs to the Special Issue Complex Systems and Nonlinear Dynamics)
This paper deals with the leader-following consensus of multi-agent systems with matched nonlinear dynamics. Compared with previous works, the major difficulty here is caused by the simultaneous existence of nonidentical agent dynamics and unknown system parameters, which are more practical in real-world applications. To tackle this difficulty, a distributed adaptive control law for each follower is proposed based on algebraic graph theory and algebraic Riccati equation. By a Lyapunov function method, we show that the designed control law guarantees that each follower asymptotically converges to the leader under connected communication graphs. A simulation example demonstrates the effectiveness of the proposed scheme. View Full-Text
Keywords: consensus; multi-agent systems; nonlinear agents; unknown nonlinear dynamics; adaptive control consensus; multi-agent systems; nonlinear agents; unknown nonlinear dynamics; adaptive control
Show Figures

Graphical abstract

MDPI and ACS Style

Wang, J.; Chen, K.; Ma, Q. Adaptive Leader-Following Consensus of Multi-Agent Systems with Unknown Nonlinear Dynamics. Entropy 2014, 16, 5020-5031.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Back to TopTop