Asynchronous Tracking Control of Leader–Follower Multiagent Systems With Input Uncertainties Over Switching Signed Digraphs

Shao, Jinliang; Shi, Lei; Cheng, Yuhua; Li, Tieshan

doi:10.1109/tcyb.2020.3044627

Cited by 71 publications

(18 citation statements)

References 43 publications

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“…Future research will focus on adaptive fuzzy output feedback fault-tolerant control for the intelligent ship autopilot system. Although some progress has been achieved, there are still some other challenges in the field, for instance, periodic event-triggered synchronization (Ding et al, 2021), reinforcement learning , neural network (Bai, Zhou, et al, 2020), leader-follower (Shao et al, 2020), TS fuzzy systems (Wu & Dong, 2018), disturbance rejection , adaptive disturbance estimation , robust synchronization (Hu, Wei, et al, 2021) etc., which will be our future research direction.…”

Section: Discussionmentioning

confidence: 99%

Observer-based adaptive fuzzy prescribed performance control for intelligent ship autopilot

Zhu

2021

Systems Science & Control Engineering

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In this paper, the algorithm design problem of intelligent ship autopilot with an unmeasured yaw rate is investigated based on adaptive fuzzy control. The fuzzy logic system (FLS) is employed to approximate the unknown function, and a fuzzy state observer is designed to estimate the unmeasured state. To achieve the specified performance constraints, the error transformed method is introduced. Based on adaptive backstepping method, an observer-based adaptive fuzzy output-feedback control scheme is developed. The proposed control scheme can reduce the conservativeness and the complexity of controller. It is proved that all the signals in the closed-loop system are bounded via Lyapunov theory. The efficacy of theoretical results is demonstrated by the simulations.

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Section: Discussionmentioning

confidence: 99%

Observer-based adaptive fuzzy prescribed performance control for intelligent ship autopilot

Zhu

2021

Systems Science & Control Engineering

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“…Based on signed digraphs, paper [62] has studied the tracking control problem for second-order MASs with communication constraint scenarios in real engineering applications on tracking dynamics, including external disturbances, asynchronous clocks, and switching interactive topologies. In [63], a novel distributed control scheme is designed for the Cucker-Smale model to examine the leader-follower flocking behavior in cooperativecompetitive networks.…”

Section: Vconclusionmentioning

confidence: 99%

Couple-Group Consensus of Heterogeneous Multi-Agents Systems With Markov Switching and Cooperative-Competitive Interaction

Zhang

Sun³

2022

IEEE Access

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In this paper, couple-group consensus is investigated for a kind of heterogeneous multi-agent systems (HMASs) with Markov switching. Some novel couple-group consensuses have been proposed, in which cooperative-competitive interaction, Markov switching and time delay are all considered. For Markov switching, the transitive rate of probability can be divided into two cases: known or partly known. Based on stochastic delta operator, probability, graph and stability theories, the leader-following and pinning couple-group consensus of this system be converted into analyzing the stability of related switching delta operator system. In the obtained results, some conservative conditions, such as the balance of in or out degree, strong connectivity and containing a spanning tree, can be longer strictly demanded. Some numerical examples are given to show the validity of the acquired results.

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“…The cooperative control problem [1,2] has been extensively concerned and put into use in many fields, such as formation of spacecraft [3], unmanned aerial vehicles [4] and multirobot systems [5]. Among them, multiagent systems (MASs) tracking control [6][7][8][9][10] is one of the primary research directions of cooperative control. However, the random noise problem is inevitable in practice, which will influence the overall performance of the system.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Reduced Parameters Fault-Tolerant Tracking Control for Stochastic Multiagent Systems with Simplifified Memory Event-Triggered Strategy

Cao

Xue

2022

Preprint

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The memory event-triggered finite-time bipartite tracking control scheme is presented for the stochastic nonlinear multiagent systems (MASs). The actuator is affected by Bouc-Wen Hysteresis and actuator faults simultaneously, and to guarantee the tracking performance, an adaptive finite-time bipartite controller which reduces online estimation parameters is constructed for the stochastic systems. A simplified memory event-triggered mechanism is proposed under the backstepping framework for the first time. Furthermore, the released data is used to set the event-triggered threshold condition, which avoids the problem of trigger instability caused by actuator faults and Bouc-Wen Hysteresis. Disturbance observers are applied to compensate the impact of input hysteresis and system disturbances. According to the Lyapunov theory, it is shown that all signals of the closed-loop systems are semiglobal practical finite-time stable (SGPFS) in probability. Meanwhile, the bipartite control performance is obtained. Finally, a practical and a numerical simulation example are provided to attest the validity of the proposed bipartite tracking control strategy.

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Asynchronous Tracking Control of Leader–Follower Multiagent Systems With Input Uncertainties Over Switching Signed Digraphs

Cited by 71 publications

References 43 publications

Observer-based adaptive fuzzy prescribed performance control for intelligent ship autopilot

Observer-based adaptive fuzzy prescribed performance control for intelligent ship autopilot

Couple-Group Consensus of Heterogeneous Multi-Agents Systems With Markov Switching and Cooperative-Competitive Interaction

Adaptive Reduced Parameters Fault-Tolerant Tracking Control for Stochastic Multiagent Systems with Simplifified Memory Event-Triggered Strategy

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