Fault-tolerant coordination control for second-order multi-agent systems with partial actuator effectiveness

Zhang, Gaosheng; Qin, Jiahu; Zheng, Wei Xing; Kang, Yu

doi:10.1016/j.ins.2017.09.043

Cited by 42 publications

(9 citation statements)

References 40 publications

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“…In the previous literatures [12, 38, 39], the reference signals are linearly parameterised and the basis functions are known by all subsystems. (ii) In contrast to the previous related works in [26, 29, 32, 34, 36], the actuator failure model considered in this paper is more general. Moreover, the total number of actuator failures is allowed to be infinite.…”

Section: Introductionmentioning

confidence: 96%

“…In recent years, multi‐agent cooperative FTC (CFTC) problem has received tremendous attention [22–26]. In [27–29], some distributed CFTC strategies were presented for second‐order MAS. Specifically, distributed fault detection and isolation problem was considered in [27]; distributed fault‐tolerant formation control problem was investigated in [28]; and fault‐tolerant coordination control was fulfilled by [29].…”

Section: Introductionmentioning

confidence: 99%

“…In [27–29], some distributed CFTC strategies were presented for second‐order MAS. Specifically, distributed fault detection and isolation problem was considered in [27]; distributed fault‐tolerant formation control problem was investigated in [28]; and fault‐tolerant coordination control was fulfilled by [29]. In [30–32], by applying neural networks and fuzzy approximation techniques, cooperative fault‐tolerant tracking control of non‐linear MAS in strict‐feedback form was investigated.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Distributed output‐feedback cooperative tracking control of non‐linear multi‐agent systems with unknown actuator failures

2019

IET Control Theory & Applications

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Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Distributed output‐feedback cooperative tracking control of non‐linear multi‐agent systems with unknown actuator failures

2019

IET Control Theory & Applications

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“…Recently, some different fault-tolerant formation methods have been studied for multi-agent systems. In Chen and Song (2015) and Zhang et al (2018), a passive and active fault-tolerant coordination control for second-order linear deterministic multi-agent model with partial actuator effectiveness are presented, respectively. Yu et al (2019) and Khalili et al (2018) have investigated the adaptive fault-tolerant control for the nonlinear multi-agent systems and used a state estimation to identify the fault.…”

Section: Introductionmentioning

confidence: 99%

Fault-tolerant formation control of stochastic nonlinear multi-agent systems with time-varying weighted topology

Siavash

Majd

Tahmasebi

2020

Transactions of the Institute of Measurement and Control

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In this paper, the fault-tolerant formation control of nonlinear stochastic multi-agent systems in the presence of actuator faults, disturbances, and time-varying weighted topology is considered. While most traditional fault-tolerant control methods in the literature use fixed weights on the topology edges, in this study these weights are considered time-varying using a pre-designed function, which allows formulating the system more realistically. Moreover, in contrast with previous works on fault-tolerant multi-agent systems, in this study, the model of the agents is considered to be stochastic in general. Furthermore, the actuators of the agents are considered to have a time-varying fault of additive and multiplicative types. A passive and an active fault-tolerant controllers are designed based on the back-stepping sliding-mode approach. In the passive method, a constant robust controller is proposed using an upper bound of the faults while, in the active controller, the additive and multiplicative faults are estimated using adaptive laws. The active and passive fault-tolerant controllers guarantee that the formation errors converge to a bounded region near the origin in a mean-square sense and all of the existing signals in the closed-loop system remain bounded in probability. The results of the formation control are extended to consensus control as well. Finally, a stochastic multi-aircraft model and an RLC circuit with stochastic part are used as two case studies to illustrate the effectiveness of the proposed design method.

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“…Their theoretical centre is to design FTC algorithms for specific conditions. For example, paper [13] proposes an active FTC strategy for second‐order MAS with partial actuator effectiveness. In paper [14], an adaptive sliding mode tracking protocol is proposed to solve the consensus problem of second‐order non‐linear MAS with actuator fault and external disturbance.…”

Section: Introductionmentioning

confidence: 99%

Fault‐tolerant consensus control of second‐order multi‐agent system based on sliding mode control theory

Yang

Huang

et al. 2019

J. eng.

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Fault-tolerant coordination control for second-order multi-agent systems with partial actuator effectiveness

Cited by 42 publications

References 40 publications

Distributed output‐feedback cooperative tracking control of non‐linear multi‐agent systems with unknown actuator failures

Distributed output‐feedback cooperative tracking control of non‐linear multi‐agent systems with unknown actuator failures

Fault-tolerant formation control of stochastic nonlinear multi-agent systems with time-varying weighted topology

Fault‐tolerant consensus control of second‐order multi‐agent system based on sliding mode control theory

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