Distributed-observer-based Fault Tolerant Control Design for Nonlinear Multi-agent Systems

Gong, Jianye; Jiang, Bin; Shen, Qikun

doi:10.1007/s12555-019-9216-3

Cited by 16 publications

(7 citation statements)

References 17 publications

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“…Consider the MASs (5) and ( 6). Given scalars 𝛾 1 > 0, 𝜀 > 0, 𝜆 1 > 0, then there exists an adaptive fault estimation observer (11)-( 13) such that the observer error system (16) satisfies the H ∞ performance, and the observer gain matrix R = P −1 Y , if there exist matrices P > 0, Y , F 1 and F 2 with proper dimensions, such that inequalities (17) and ( 18) hold…”

Section: Adaptive Fault Estimation Observer Designmentioning

confidence: 99%

“…▪ Remark 1. Note that it is difficult to handle inequalities (17) and (18) which are nonconvex because of the terms of P, P −1 , 𝜀 and 𝜀 −1 . To solve this problem, the nonlinear optimization method based on the cone complementary linearization algorithm is introduced.…”

Section: Adaptive Fault Estimation Observer Designmentioning

confidence: 99%

“…Step 2. Minimize trace(P k P + PP k + 𝜀 k 𝜀I n+q + 𝜀𝜀 k I n+q ) subject to LMI constraints (17), (18) and ( 27) to obtain the optimal solutions (P, 𝜀, F 1 , F 2 , Y ).…”

Section: Adaptive Fault Estimation Observer Designmentioning

confidence: 99%

See 2 more Smart Citations

Observer‐based fault tolerant control for a class of nonlinear multi‐agent systems with sensor faults

Chen,

Li,

Zhang

et al. 2024

Intl J Robust & Nonlinear

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This article focuses on the robust fault tolerant control (FTC) problem for a class of Lipschitz nonlinear multi‐agent systems(MASs) subject to sensor faults. Firstly, sensor faults are transformed into actuator faults via introducing a new intermediate auxiliary state variable, and a distributed adaptive fault estimation observer is designed to estimate the state information and the concerned faults by using the relative output estimation error. Then, the sufficient existence conditions for the observer to satisfy the robust performance index are given. Thirdly, based on the results of observer design, a new design method of dynamic output feedback controller is proposed to implement consensus of MASs and ensure the desired disturbance rejection performance. Finally, the simulation results are presented to illustrate the effectiveness of the proposed method.

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Section: Adaptive Fault Estimation Observer Designmentioning

confidence: 99%

Section: Adaptive Fault Estimation Observer Designmentioning

confidence: 99%

See 1 more Smart Citation

Observer‐based fault tolerant control for a class of nonlinear multi‐agent systems with sensor faults

Chen,

Li,

Zhang

et al. 2024

Intl J Robust & Nonlinear

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“…In contrast to the conventional maneuver, the airflow attached to the surface of the aircraft is in the form of attached flow, swirling flow, swirl broken and separated flow in turn during the PSPM (Lyu et al , 2017), which leads to serious unsteady aerodynamic disturbances (UADs) and further affects the robustness of the PSPM system. To enhance the robustness, some methods, such as neural network (NN) (Gong et al , 2020; Ullah et al , 2022), sliding mode control (Mosalsal and Khodabandeh, 2022; Cheng et al , 2022b), extended state observer (Yuan et al , 2019; Ferdjali et al , 2022) and disturbance observer (Ma et al , 2021; Zhang et al , 2021c), have been developed, which are also used for the control of the PSPM (Zhou et al , 2017; Liu et al , 2020; Zhang et al , 2019; Wu et al , 2020). In addition, many studies related to the UADs model have been conducted to improve the performance of the PSPM further.…”

Section: Introductionmentioning

confidence: 99%

Robust backstepping control for maneuver aircraft based on event-triggered mechanism and nonlinear disturbance observer

Shen

2023

AEAT

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Purpose This study aims to achieve the post-stall pitching maneuver (PSPM) and decrease the deflection frequency of aircraft actuators controlled by the robust backstepping method based on event-triggered mechanism (ETM), nonlinear disturbance observer (NDO) and dynamic surface control (DSC) techniques. Design/methodology/approach To estimate unsteady aerodynamic disturbances (UADs) to suppress their adverse effects, the NDO is designed. To avoid taking the derivative of the virtual control law directly and eliminate the coupling term of the system states and dynamic surface errors in the stability analysis, an improved DSC is developed. Combined with the NDO and DSC techniques, a robust backstepping method is proposed to achieve the PSPM. Furthermore, to decrease the deflection frequency of the aircraft actuators, a state-dependent ETM is introduced. Findings An ETM-and-NDO-based backstepping method with an improved DSC technique is developed to achieve the PSPM and decrease the deflection frequency of aircraft actuators. And simulation results are presented to verify the effectiveness of the proposed paper. Originality/value Few studies have been conducted on the control of the PSPM in which the lateral and longitudinal attitude dynamics are coupled with each other considering the UADs. Moreover, the mechanism that can decrease the deflection frequency of aircraft actuators is rarely developed in existing research. This study proposes an ETM-and-NDO-based backstepping scheme to address these problems with satisfactory performance of the PSPM.

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“…In recent years, numerous effective protocols have been reported to reach consensus of MASs. These protocols include: impulsive control, pinning control, adaptive control, observer-based control, event-triggered control, faulttolerant control, neural-network-based control and etc [9,10,13,[19][20][21][22][23][24]. Among them, impulsive control is such a strategy that the controller occurs at some certain discrete moments, which dramatically reduces the communication cost by replacing instantaneous information exchanges to a small number of samples at specific instants.…”

Section: Introductionmentioning

confidence: 99%

State-dependent Impulsive Control for Consensus of Multi-agent Systems

Tian

2021

Int. J. Control Autom. Syst.

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This paper aims to investigate the consensus of multi-agent systems, where each agent runs hopfied-type neural networks, by means of the state-dependent impulsive control. The challenge comes from the fact that the occurrence of impulse varies according to the state of the agent, which means it is hard to predict when an impulse occurs. To solve this problem, we try to transform the impulsive system from state-dependent to fixed-time. In order to do that, we first construct a global consensus error state-dependent with a multi-agent system according to the impulsive consensus protocol. Then we use the B-equivalence method to form a comparison impulsive system of fixed-time impulsive sequence. Using Lyapunov stability theory, we prove that these two systems have the same stability. So we establish sufficient consensus conditions of multi-agent system by analyzing the comparison system. We perform extensive evaluations to validate the correctness of theoretical results and the effectiveness of the statedependent impulsive consensus protocol.

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Distributed-observer-based Fault Tolerant Control Design for Nonlinear Multi-agent Systems

Cited by 16 publications

References 17 publications

Observer‐based fault tolerant control for a class of nonlinear multi‐agent systems with sensor faults

Observer‐based fault tolerant control for a class of nonlinear multi‐agent systems with sensor faults

Robust backstepping control for maneuver aircraft based on event-triggered mechanism and nonlinear disturbance observer

State-dependent Impulsive Control for Consensus of Multi-agent Systems

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