基于时变时滞动态拓扑的二阶Leader-Following多智能体一致性分析

针对具有时变时滞的二阶Leader-Following多智能体系统,研究了其一致性问题。假设其通信拓扑是时刻切换的,并且每个子时间段内系统拓扑不完全连通,采用Lyapunov-Krasovskii泛函和矛盾分析法,对系统进行了解耦分析,得出只需所有时间段内的拓扑并集连通,且系统的特征根满足一定条件,系统能达到一致,并进行了理论证明。以4个following智能体与1个leader智能体做成的网络为例进行具体说明,所得仿真结果验证了理论的有效性。     

Leader-following consensus of stochastic dynamical multi-agent systems with fixed and switching topologies under proportional-integral protocols

With the rapid development of swarm intelligence, consensus problem for multi-agent systems (MASs) has attracted substantial attention. To deal with the leader-following consensus problems in stochastic dynamical MASs with fixed and switching topologies, this article designed proportional-integral (PI) control protocols. On the basis of algebraic graph theory and stochastic analysis techniques, by selecting appropriate Lyapunov functions, it is theoretically shown that leader-following consensus of MASs with stochastic dynamics underlying fixed and switching topologies can be achieved in mean square, respectively. Sufficient criteria are derived for selecting the PI control gains. Finally, the theoretical results are illustrated through several numerical simulations.     

Leader-following consensus of multiple uncertain Euler–Lagrange systems under switching network topology

In recent years, the leader-following consensus problem for multiple uncertain Euler–Lagrange systems has been studied under some restrictive assumptions on the network topology. In this paper, we further study the same problem under switching network topology. We propose a distributed adaptive control law that can solve the problem under a switching network satisfying jointly connected condition. Under this condition, our results do not require the network to be undirected and allow the network to be disconnected at any time instant. Moreover, by introducing an exosystem to generate various reference signals, our control law can handle a class of reference signals such as sinusoidal signals with arbitrary amplitudes and initial phases or ramp signals with arbitrary slopes.     

Distributed Adaptive Output Consensus of Unknown Heterogeneous Non-Minimum Phase Multi-Agent Systems

This article addresses the leader-following output consensus problem of heterogeneous linear multi-agent systems with unknown agent parameters under directed graphs.The dynamics of followers are allowed to be non-minimum phase with unknown arbitrary individual relative degrees.This is contrary to many existing works on distributed adaptive control schemes where agent dynamics are required to be minimum phase and often of the same relative degree.A distributed adaptive pole placement control sche...     

主从Cucker-Smale系统的有限时间蜂拥行为

基于有限时间稳定性理论,研究主从Cucker-Smale系统的有限时间蜂拥行为。通过李雅普诺夫函数方法,得到蜂拥在有限时间发生所需的条件。研究结果表明:收敛时间和种群规模以及智能体与领导者之间的耦合强度有关。收敛时间随种群规模和耦合强度的增大而减小。在数值模拟中,速度和速度差的演化曲线证实了理论结果的可靠性。     

Adaptive mean-square consensus of heterogeneous multiagent systems with stochastic switching topologies

The leader–following consensus of linear heterogeneous multiagent systems is investigated in this paper. To comply with the most practical scenario, the communicating topologies among agents are assumed to switch stochastically and driven by a continuous-time discrete-state Markov process, whose state space corresponds to all the possible topologies. A novel distributed adaptive compensator is designed for the followers to reconstruct the exogenous signals without knowing the Laplacian matrix who is regarded as a global information, and sufficient conditions are given to ensure the compensator converges to the dynamic of the leader asymptotically in the mean square sense. Then, based on the compensator, we solved the consensus problem both by distributed state and measurement output feedback control schemes under output regulation framework, which allow followers to have nonidentical state dimensions. Finally, the theoretical results are demonstrated by a numerical example.     

基于事件触发脉冲控制的具有ROUs和RONs的非线性多智能体系统的领导跟随一致性研究

设计了一个基于Lyapunov函数的事件触发函数,并在此基础上研究了一类具有随机发生不确定性和随机发生非线性的多智能体系统在事件触发脉冲控制策略下的领导跟随一致性。与人为设置脉冲时刻序列的控制方式不同,事件触发脉冲控制策略中脉冲控制时刻的产生依赖于事件触发函数,且当触发条件被满足时才激发脉冲控制,从而减少不必要的控制次数以及系统的资源消耗。基于脉冲微分方程理论、代数图论和Lyapunov稳定性理论,给出了受控多智能体系统实现领导跟随一致性所需要满足的充分性条件,同时证明了Zeno行为可以被排除。最后,通过Matlab实例仿真验证了本文理论结果的有效性。     

事件触发机制下的多智能体领导跟随一致性

研究了一类具有动态领导者的一阶多智能体系统的一致性问题。基于事件触发机制给出两种一致性协议,即集中式触发控制协议和分散式触发控制协议。利用李雅普诺夫稳定性理论和模型转化方法分别给出多智能体系统在两种协议作用下达到领导跟随一致的充分条件。同时,理论计算表明,系统在两种控制协议下均不存在Zeno行为。实例仿真结果验证了理论方案的有效性。     

Fixed-time formation control of multimobile robots北大核心CSCD

In order to reduce the influence of initial position on the convergence time of formation systems, a fixed-time formation control method is presented in this paper for multimobile robot systems. Based on the leader-following struc-ture, the formation control problem of n robots is decomposed into the tracking control problem between (n – 1) pairs of followers and their designated leader. In this structure, a fixed-time controller based on backstepping is designed to maintain the desired distance and angle between the followers and leader. Furthermore, the stability of the formation control system is analyzed using the Lyapunov stability theory, and the effectiveness of this method is verified through simulation and experimental results. © 2023, Editorial Department of CAAI Transactions on Intelligent Systems. All rights reserved.     

二阶多智能体系统拓扑切换下的领导跟随一致性

在有积极领导者且系统网络拓扑切换的条件下,对二阶非线性多智能体系统的领导跟随一致性进行了研究. 协议在非脉冲时刻采取连续控制,在脉冲时刻采取离散控制,且脉冲时刻创新性地提出各智能体的速度增量既与邻接智能体的位移状态有关又与速度状态有关. 构建新模型的误差系统,基于Lyapunov稳定性理论,利用数学归纳法和其他相关知识,得到系统拓扑图无向且连通时系统实现一致性必须满足的充分条件,并用Matlab软件实例仿真验证了结果的正确性.