scholarly journals Fully Distributed Event-Triggered Containment Control of Uncertain Multiagent Systems

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Zhaodong Liu ◽  
Zhi Liu ◽  
Xuewu Qian ◽  
Ancai Zhang ◽  
Zhenxing Li
Keyword(s):  
Control Problem ◽  
Multiagent Systems ◽  
Containment Control ◽  
Numerical Example ◽  
Uncertain Dynamics ◽  
Relative Information ◽  
Global Topology ◽  
Zeno Behavior ◽  
Topology Information ◽  
Event Triggered

This paper investigates the event-triggered containment control problem of a class of uncertain nonlinear multiagent systems (MASs). By employing the local relative information, we design an adaptive event-triggered containment algorithm. The proposed containment algorithm can cope with the unavailability of global topology information and uncertain dynamics of follower agents. Therefore, the presented containment algorithm is free of global topology information, i.e., the designed algorithm is fully distributed. In addition, it is proved that Zeno behavior will not occur. At last, a numerical example is given to verify our event-triggered containment algorithm.

scholarly journals Observer-based adaptive optimal output containment control problem of linear heterogeneous Multiagent systems with relative output measurements

2018 ◽  
Vol 33 (2) ◽  
pp. 262-284 ◽  
Author(s):  
Majid Mazouchi ◽  
Mohammad Bagher Naghibi-Sistani ◽  
Seyed Kamal Hosseini Sani ◽  
Farzaneh Tatari ◽  
Hamidreza Modares
Keyword(s):  
Control Problem ◽  
Multiagent Systems ◽  
Containment Control ◽  
Optimal Output

scholarly journals Event-Triggered Adaptive Sliding Mode Attitude Containment Control for Microsatellite Cluster under Directed Graph

2021 ◽  
Vol 2021 ◽  
pp. 1-25
Author(s):  
Fengzhi Guo ◽  
Shijie Zhang ◽  
Tingting Zhang ◽  
Anhui Zhang
Keyword(s):  
Control Problem ◽  
Control Strategy ◽  
Control Algorithm ◽  
Sliding Mode ◽  
Steady States ◽  
Containment Control ◽  
Directed Topology ◽  
Adaptive Sliding Mode ◽  
Microsatellite Cluster ◽  
Event Triggered

In order to investigate the attitude containment control problem for a microsatellite cluster, an event-triggered adaptive sliding mode attitude containment control algorithm is proposed for the satellite cluster flight system under directed topology, so that attitude of followers asymptotically converges to the convex hull formed by the leaders’ orientations. At first, the event-triggered control strategy is introduced into the attitude containment control problem for the microsatellite cluster. The triggering condition consisting of state-dependent and time-dependent function is designed to adjust control period and avoid the Zeno behaviour. When the function value meets the triggering condition, the event is triggered, state information is sampled, control law is computed, and actuators are updated, while the control action performed in nontriggering time is the same as the previous triggering instant. Then, in the presence of model uncertainties and external disturbances, an event-triggered adaptive sliding mode attitude containment control algorithm is presented under directed topology, and sufficient and necessary conditions for the followers to enter into the target area formed by the leaders are given. Furthermore, cell partitions from graph theory are employed to investigate the influence of information topology on steady states of followers, which provides theoretical basis for orientation design of cluster satellites. Finally, simulation results show that the proposed control strategy could reduce control execution frequency, as well as ensure the similar control performance with the time-triggered one, and followers belonging to the same cell have the same steady states.

Containment Control of Linear Multiagent Systems With Stochastic Disturbances via Event-Triggered Strategies

2020 ◽  
Vol 14 (4) ◽  
pp. 4810-4819 ◽  
Author(s):  
Wencheng Zou ◽  
Yueying Huang ◽  
Choon Ki Ahn ◽  
Zhengrong Xiang
Keyword(s):  
Multiagent Systems ◽  
Stochastic Disturbances ◽  
Containment Control ◽  
Event Triggered

scholarly journals Observer-Based Event-triggered Adaptive Containment Control for Multiagent Systems With Prescribed performance

2021 ◽  
Author(s):  
Rui Xu ◽  
Xin Wang ◽  
Yuhao Zhou
Keyword(s):  
Multiagent Systems ◽  
Nonlinear Function ◽  
Dynamic Surface Control ◽  
The Novel ◽  
Containment Control ◽  
Dynamic Surface ◽  
Prescribed Performance ◽  
The Neural Network ◽  
Control Resource ◽  
Event Triggered

Abstract This paper focuses on the problem of the observer-based event-triggered adaptive containment control for a class of nonlinear multiagent systems (MASs) with prescribed performance. First, the radial basis function neural networks (RBFNNs) are adopted to approximate the uncertain smooth nonlinear function, and the neural network-based state observer is designed to estimate the unmeasurable state. Besides, to reduce the control resource assumption and get a better balance between the system performance and network constraints, the switching threshold based event-triggered control strategy is introduced. Based on this, the novel distributed containment controller is designed by utilizing the adaptive backstepping technique and the dynamic surface control (DSC) technique to guarantee that the output of each follower converges to the convex hull formed by multileader. Moreover, the containment errors can be converged to the prescribed boundary and all signals in closed-loop system are semi-global uniformly ultimately bounded (SGUUB) as well. Finally, the simulation example is carried out to illustrate the efficiency of the proposed controller.

scholarly journals Couple-Group Consensus for Multiagent Systems via Time-Dependent Event-Triggered Control

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Huiyang Liu ◽  
Xiaoshuang Wang
Keyword(s):  
Multiagent Systems ◽  
Matrix Theory ◽  
Time Dependent ◽  
Communication Delays ◽  
Group Consensus ◽  
First Order ◽  
Zeno Behavior ◽  
The Matrix ◽  
Second Order Systems ◽  
Event Triggered

This paper investigates couple-group consensus problems for multiagent first-order and second-order systems. Several consensus protocols are proposed based on the time-dependent distributed event-triggered control. For the case of no communication delays, the time-dependent event-triggered strategies are applied to couple-group consensus problems. Based on the matrix theory, algebraic conditions for couple-group consensus are established. For the system with communication delays, based on event-triggered strategies, a Lyapunov-Krasovskii functional is constructed to prove the input-to-state stability of the systems. Moreover, Zeno behavior is excluded. Finally, numeral examples are given to illustrate the effectiveness of these results.

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