scholarly journals Leader-Following Consensus of Linear Multiagent Systems with State Observer under Switching Topologies

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Lixin Gao ◽  
Xinjian Zhu ◽  
Wenhai Chen ◽  
Hui Zhang
Keyword(s):  
Multiagent Systems ◽  
Function Method ◽  
Tracking Error ◽  
Protocol Design ◽  
Design Technique ◽  
Special Cases ◽  
Lyapunov Function Method ◽  
Communication Topology ◽  
Leader Following ◽  
Parameter Dependent

The leader-following consensus problem of higher order multiagent systems is considered. The dynamics of each agent are given in general form of linear system, and the communication topology among the agents is assumed to be directed and switching. To track the leader, two kinds of distributed observer-based consensus protocols are proposed for each following agent, whose distributed observers are used to estimate the leader’s state and tracking error based on the relative outputs of the neighboring agents, respectively. Some sufficient consensus conditions are established by using parameter-dependent Lyapunov function method under a class of directed interaction topologies. As special cases, the consensus conditions for balanced and undirected interconnection topology cases can be obtained directly. The protocol design technique is based on algebraic graph theory, Riccati equation, and Sylvester equation. Finally, a simulation example is given to illustrate our obtained result.

scholarly journals Distributed Attitude Consensus for Multiple Rigid Spacecraft under Jointly Connected Switching Topologies

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Long Ma ◽  
Shicheng Wang ◽  
Haibo Min ◽  
Shouyi Liao ◽  
Zhiguo Liu
Keyword(s):  
Function Method ◽  
Consensus Problem ◽  
Time Intervals ◽  
Common Lyapunov Function ◽  
Switching Topologies ◽  
First Case ◽  
Lyapunov Function Method ◽  
Communication Topology ◽  
Leader Following ◽  
Rigid Spacecraft

We study the distributed leader-following attitude consensus problem for multiple rigid spacecraft with a single leader under jointly connected switching topologies. Two cases are considered, where the first case is with a static leader and the second case is with a dynamic leader. By constructing an auxiliary vector and a distributed observer for each follower spacecraft, the controllers are designed to drive all the attitudes of the follower spacecraft to the leader’s, respectively, for both of the two cases, though there are some time intervals in which the communication topology is not connected. The whole system is proved to be stable by using common Lyapunov function method. Finally, the theoretical result is illustrated by numerical simulations.

scholarly journals Second-Order Consensus for Multiagent Systems under Directed and Switching Topologies

2012 ◽  
Vol 2012 ◽  
pp. 1-21 ◽  
Author(s):  
Lixin Gao ◽  
Jingjing Zhang ◽  
Wenhai Chen
Keyword(s):  
Function Method ◽  
Sufficient Conditions ◽  
Common Lyapunov Function ◽  
Special Cases ◽  
Lyapunov Function Method ◽  
Leader Following ◽  
The Common ◽  
Feedback Laws ◽  
Integrator Model ◽  
Double Integrator

We consider multiagent consensus problems in a decentralized fashion. The interconnection topology among the agents is switching and directed. The agent dynamics is expressed in the form of a double-integrator model. Two different cases are considered: one is the leader-following case and the other is the leaderless case. Based on graph theory and the common Lyapunov function method, some sufficient conditions are established for the consensus stability of the considered systems with the neighbor-based feedback laws in both leader-following case and leaderless case, respectively. As special cases, the consensus conditions for balanced and undirected interconnection topology cases can be established directly. Finally, two numerical examples are given to illustrate the obtained results.

scholarly journals Consensus Learning Control for Leader-Following Nonlinear Multiagent Systems with Control Delay

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Xiongfeng Deng ◽  
Xiuxia Sun ◽  
Shuguang Liu
Keyword(s):  
Time Delay ◽  
Multiagent Systems ◽  
Iterative Learning Control ◽  
Learning Control ◽  
Control Delay ◽  
Consensus Tracking ◽  
Control Scheme ◽  
Communication Topology ◽  
Leader Following ◽  
Theoretical Results

In this paper, the consensus tracking problem of leader-following nonlinear control time-delay multiagent systems with directed communication topology is addressed. An improved high-order iterative learning control scheme with time-delay is proposed, where the local information between agents is considered. The uniformly global Lipschitz condition is applied to deal with the nonlinear dynamics. Then, a sufficient condition is driven, which guarantees that all the following agents track the trajectory of leader. Also, the convergence of proposed control protocol is analyzed by the norm theory. Finally, two cases are provided to illustrate the validity of theoretical results.

scholarly journals Semi-global leader-following output consensus of heterogeneous systems subject to actuator position and rate saturation

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Panpan Zhou ◽  
Ben M. Chen
Keyword(s):  
Linear Systems ◽  
Output Feedback ◽  
State Feedback ◽  
Heterogeneous Systems ◽  
Output Regulation ◽  
Design Technique ◽  
Consensus Protocol ◽  
Communication Topology ◽  
Global Leader ◽  
Leader Following

AbstractWe study in this paper a semi-global leader-following output consensus problem for multiple heterogeneous linear systems in the presence of actuator position and rate saturation over a directed topology. For each follower, via the low gain feedback design technique and output regulation theory, both a state feedback consensus protocol and an output feedback consensus protocol are constructed. In the output feedback case, different distributed observers are designed for the informed followers and uninformed followers to estimate the state of the leader and the follower itself. We show that the semi-global leader-following output consensus of heterogeneous linear systems can be achieved by the two consensus protocols if each follower is reachable from the leader in the directed communication topology.

Robust distributed adaptive consensus for linear multiagent systems with uncertain topologies

2021 ◽  
pp. 014233122110605
Author(s):  
Wenchao Huang ◽  
Chengrong Lin ◽  
Bo Hu ◽  
Tao Niu
Keyword(s):  
Adaptive Control ◽  
Multiagent Systems ◽  
Sufficient Conditions ◽  
Linear Matrix ◽  
Homogeneous Markov Chain ◽  
Consensus Control ◽  
Distributed Adaptive Control ◽  
Communication Topology ◽  
Parameter Dependent ◽  
Partly Unknown Transition Rates

This paper focuses on the robust mean-square consensus control problem for linear multiagent systems over randomly switching signed interaction topologies. The stochastic process is governed by a time-homogeneous Markov chain with partly unknown transition rates. Sufficient conditions for a consensus in the form of linear matrix inequalities are given via distributed adaptive control based on parameter-dependent Lyapunov functions. The adaptive control protocols require only the neighbor information of the agents, and the algorithm that designs the protocols reduces the influence of the communication topology on the consensus, which can prevent undesirable interaction impacts. Moreover, the disturbance rejection problem is addressed as an extension. Finally, two simulations are utilized to illustrate the effectiveness of the algorithms.

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