Consensus Of Heterogeneous Multi-agent Systems Research Articles

Scaled consensus of heterogeneous multi-agent systems under asynchronous DoS attacks

This paper addresses the issue of scaled consensus in heterogeneous multi-agent systems (HMASs) under asynchronous Denial-of-Service (DoS) attacks. In the system structure, our exploration centers on the challenge of achieving scaled consensus in HMASs. The aim is to guarantee that the states of both first-order and second-order agents within the system reach predetermined scalar values, aligning with diverse real-world scenarios. Subsequently, the security of the system in directed communication topology under asynchronous DoS attack is also taken into account. To achieve above research objectives, an impulsive control scheme based on topology switching is proposed and a corresponding algorithm for determining the pulse moments based on the Floyd algorithm is devised. This scheme utilizes the topology switching caused by asynchronous DoS attacks as the driving force for impulsive control. Furthermore, leveraging the correlation property of random matrices, we derive the sufficient conditions for the system to achieve secure control. Finally, a numerical simulation is provided to validate the effectiveness of the protocol and the accuracy of conclusions.

Mean-Square Consensus for Heterogeneous Multi-Agent Systems With Packet Losses

Mean-Square Consensus for Heterogeneous Multi-Agent Systems With Packet Losses

Finite-time Consensus of Heterogeneous Multi-agent Systems by Integral Sliding Mode Control

Finite-time Consensus of Heterogeneous Multi-agent Systems by Integral Sliding Mode Control

Robust Positive Consensus for Heterogeneous Multi-agent Systems

Robust Positive Consensus for Heterogeneous Multi-agent Systems

Output Consensus of Heterogeneous Multiagent Systems With Mismatched Uncertainties and Measurement Noises: An ADRC Approach

Output Consensus of Heterogeneous Multiagent Systems With Mismatched Uncertainties and Measurement Noises: An ADRC Approach

Further Results on Fixed-Time Leader-Following Consensus of Heterogeneous Multiagent Systems With External Disturbances

Further Results on Fixed-Time Leader-Following Consensus of Heterogeneous Multiagent Systems With External Disturbances

Asymptotic Leader-Following Consensus of Heterogeneous Multi-Agent Systems With Unknown and Time-Varying Control Gains

Asymptotic Leader-Following Consensus of Heterogeneous Multi-Agent Systems With Unknown and Time-Varying Control Gains

Mean-square output consensus for heterogeneous multi-agent systems over nonidentical packet loss channels

In this paper, we study the cooperative output consensus problem of discrete-time heterogeneous multi-agent systems over nonidentical channel fading networks. Different from the traditional output consensus problem, the communication channels among agents are perturbed by stochastic multiplicative noises, which can also describe the packet loss phenomenon. The perturbed channels can result in a significant challenge for consensus analysis since their effect cannot be separated linearly from the communication topology. Based on the distributed feedforward control method, a novel distributed dynamic output feedback controller is developed to ensure output synchronization for each agent in the mean-square sense. To facilitate the consensus analysis, we utilize the relationship between the graph Laplacian matrix and the incidence matrix and matrix transformation technique, and find sufficient solvability conditions relying on each agent’s dynamics, the maximum eigenvalue of communication graph and the packet loss probability for the scenarios of undirected graph and directed graph, respectively. Finally, simulation results are given to verify the theoretical analysis.

Hybrid Event-Triggered Group Consensus Control for Heterogeneous Multiagent Systems With TVNUD Faults and Stochastic FDI Attacks

This paper investigates the group consensus of heterogeneous multi-agent systems (MASs) with time-varying unknown nonidentical direction (TVUND) faults under stochastic false data injection (FDI) attacks. A fault-tolerant mechanism based on the Nussbaum function method that does not require the upper and lower bounds of the fault scaling factors nor fault directions is proposed. To bypass the challenges resulting from the summation of multiple Nussbaum functions, a group of new Nussbaum functions is developed. Meanwhile, a hybrid event-triggered mechanism (ETM) with both adaptive and memory characteristics is designed to reduce the communication burden by adjusting the trigger threshold according to not only the consensus error but also the motion trajectory of the agent itself. Finally, the simulation results illustrate the validity and merit of the designed controller.

Mean-Square Output Consensus of Heterogeneous Multi-Agent Systems with Multiplicative Noises in Dynamics and Measurements

Mean-Square Output Consensus of Heterogeneous Multi-Agent Systems with Multiplicative Noises in Dynamics and Measurements

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

AbstractThe 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.

Leaderless output sign consensus of heterogeneous multi-agent systems over switching signed graphs

Leaderless output sign consensus of heterogeneous multi-agent systems over switching signed graphs

Distributed Fault Detection and Dynamic Event-Triggered Consensus for Heterogeneous Multiagent Systems Under Deception Attacks

This paper focuses on the problem of distributed fault detection and leader-following output consensus for heterogeneous multiagent systems subject to deception attacks. During the information exchange and dissemination, a malicious attacker can make full use of specialized computer technology and launch stochastic deception attacks against some vulnerable agents over the network. The attack signals in actual operation tend to be energy-constrained, and Bernoulli distribution can be used to describe the random features. Taking the attack information into account, the distributed fault detection observer and the dynamic consensus compensator are designed in two separate steps. In order to reduce unnecessary information transmission, a dynamic event-triggered mechanism with output-dependent threshold is introduced to the adjustment of consensus protocol. According to Lyapunov stability theory and linear matrix inequality (LMI) techniques, sufficient conditions are derived for developing the model gains of the observer and the compensator. Finally, a simulation example of RLC circuit systems is provided to illustrate the effectiveness of the obtained theoretical results.

Group Consensus for Heterogeneous Multiagent Systems With Time Delays Based on Frequency Domain Approach

This article investigates the group consensus problem for heterogeneous multiagent systems with time delays via pinning control. Under the designed control protocol, agents in the system could be grouped arbitrarily, and agents in the same subgroup could converge to a constraint position. Meanwhile, the kinetics of agents in the same subgroup could be same or different. Both the fixed and switching topologies are considered. Based on the frequency domain method and stability theory, sufficient conditions for the system achieve group consensus are derived. Finally, several numerical examples are presented to verify the performance of the control protocol.

Practical consensus for heterogeneous multi-agent systems with gain fluctuations via resilient sampled-data control

This study proposes a sampled-data-based practical consensus control method for heterogeneous multi-agent systems with gain fluctuations. First, the heterogeneous multi-agent system is formulated together with randomly occurring nonlinear dynamics. Second, unlike the existing studies, a more general retarded sampled-data control approach is designed, which involves the gain fluctuations along with the actual sampling pattern and constant time delay, to achieve the practical consensus of the considered system. By utilizing the aperiodic sampling information, and looped functional approach, a Wirtinger’s inequality-based discontinuous Lyapunov-Krasovskii functional is constructed to derive the delay-dependent stability condition of the closed-loop system in the form of linear matrix inequality. Finally, numerical simulation is presented to illustrate the derived theoretical results.

Dynamic Event-Triggered Bipartite Output Consensus for Heterogeneous Multi-Agent Systems Under Signed Digraphs

In this brief, the bipartite output consensus (BOC) problem is studied by dynamic event-triggered control for heterogeneous multi-agent systems under signed digraphs. A novel fully distributed control protocol, containing an observer-based adaptive controller and a Zeno-free dynamic event-triggered mechanism (ETM), is provided to guarantee the asymptotic convergence of BOC errors. Notably, an internal dynamic variable is introduced in the ETM to prolong interevent time intervals, which further reduces consumption on transmission. In addition, it is worth pointing out that the provided protocol remains valid even if global information about signed digraphs is unavailable. Finally, a numerical example is taken to demonstrate the effectiveness of protocol.

The Couple-Group Consensus of Heterogeneous Multiagent Systems with Asynchronous Switching in Cooperative-Competitive Networks

This paper investigates the problem of leader-following or leaderless couple-group consensus of heterogeneous multiagent systems (HMASs) with cooperative-competitive interaction, asynchronous switching, and controller faults. Some novel protocols have been proposed to solve the couple-group consensus of the two kinds of HMASs. Compared with the existing results, asynchronous control, controller faults, leaders, and the competitive-cooperative interaction are all considered in these novel protocols. By using linear matrix inequality, graph theory, Lyapunov functional theory, and model-dependent dwell time technique (MDADT), some sufficient conditions have been gained for the leader-following or leaderless couple-group consensus of these systems. The obtained results show that the couple-group consensus of HMASs can be transformed into determining the stability of the related switching linear system. These results can also be applied to HMASs with weakly connected topology without satisfying the demand of in-degree balance, strong connectivity, or containing a spanning tree. Some simulation experiments are given to prove the validity of the obtained results.

Fixed-Time Bipartite Output Consensus of Heterogeneous Multi-Agent Systems With Event-Triggered Observation

This paper considers the fixed-time bipartite output consensus of heterogeneous multi-agent systems under a directed signed graph. Firstly, in combination with the fixed-time theory and event-triggered mechanism, a fixed-time event-triggered observer is designed to estimate the leader’s state. Secondly, a dynamic variable is used to present the triggering condition, and the analytical results show that the Zeno behavior can be excluded by choosing some appropriate parameters. Moreover, a distributed fixed-time control protocol is developed based on the designed observer so that all agents can achieve bipartite output consensus in a fixed-time. Some sufficient criteria for output bipartite consensus are obtained based on inequality techniques and Lyapunov stability theory. Finally, a numerical example is employed to verify the validity of the theoretical results.

Fully Distributed Dynamic Event-Triggered Pinning Cluster Consensus Control for Heterogeneous Multiagent Systems With Cooperative–Competitive Interactions

In this article, the cluster consensus of heterogeneous multiagent systems is investigated via dynamic event-triggered and pining control strategies. Comprehensively considering the cooperative and competitive interactions among the agents, a novel cluster consensus control protocol is designed, and a class of fully distributed dynamic event-triggered laws that do not depend on the global information is proposed. Being distinct from the traditional static threshold value, a time-varying threshold value is introduced which can effectively reduce the trigger time. Meanwhile, some sufficient conditions are obtained theoretically by using Lyapunov stability theory and the pinning control strategy is addressed as well. Furthermore, it has also been shown that each agent can exclude Zeno behavior. Finally, two simulated examples are given to illustrate the correctness and validity of the proposed methods and our findings.

Bipartite Output Consensus for Heterogeneous Multi-Agent Systems With Observer-Based Adaptive Event-Triggered Strategy

Bipartite Output Consensus for Heterogeneous Multi-Agent Systems With Observer-Based Adaptive Event-Triggered Strategy