Decentralized output-feedback control of large-scale nonlinear systems with sensor noise

Liu, Tengfei; Jiang, Zhong‐Ping; Hill, David J.

doi:10.1016/j.automatica.2012.06.054

Cited by 55 publications

(18 citation statements)

References 20 publications

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“…In the current research of nonlinear large-scale system, we carried out a lot of research work contacting with the theory of intelligent control for its strong coupling characteristics [76] , uncertain problem [77] , time delay problem [78] , the dead zone problem [79] , the noise problem [80] , the control input with mismatched interconnections [81] . When there are some problems in the stability and robustness of a system, we often improve these properties by adding control mechanisms.…”

Section: Control Of Fractional Order Systemmentioning

confidence: 99%

Research Progress of the Structure Vibration-Attitude Coordinated Control of Spacecraft

Yang¹,

Qu²,

Lin³

et al. 2015

International Journal of Aeronautical and Space Sciences

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This paper gives an overview of research on the field of structure vibration-attitude coordinated control of spacecraft. First of all, the importance of the technology has been given an introduction, and then later the research progress of space structure dynamics modeling, research progress of structure vibration-attitude coordinated control of flexible spacecraft have been discussed respectively. Finally, future research on application of structure vibration-attitude coordinated control of spacecraft has been recommended.

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Section: Control Of Fractional Order Systemmentioning

confidence: 99%

Research Progress of the Structure Vibration-Attitude Coordinated Control of Spacecraft

Yang¹,

Qu²,

Lin³

et al. 2015

International Journal of Aeronautical and Space Sciences

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“…This implies that the node subsystem and the link subsystem are the two main parts of dynamical behavior of complex network. On the other hand, stability analysis is the important problem in the study of complex dynamical networks, which has been extensively studied for the valueweighted complex dynamical networks, [6][7][8][9][10]16 the large scale systems, [17][18][19][20] and dynamical neural networks [21][22][23][24][25] in the last decades. However, if observing the results in the above literature from the angle of large-scale system, it is noticed that the stability is regarded only as the dynamical behavior of node subsystem, and the dynamical behavior of link subsystem is ignored.…”

Section: Introductionmentioning

confidence: 99%

Asymptotical stability for complex dynamical networks via link dynamics

Zhao

Wang

2020

Math Methods in App Sciences

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From the perspective of large‐scale system, a complex dynamical network can be regarded as the interconnected system with the node subsystem and link subsystem, which implies that the node subsystem and the link subsystem are the two main bodies of dynamical behaviors of network. Therefore, the whole stability of network is influenced by not only the dynamics of node subsystem but also the dynamics of link subsystem. According to the above view, the wholly asymptotical stability (WAS) is defined in this paper for the complex dynamical network with the model of differential equations. The WAS is used to describe the node subsystem achieves asymptotical stability when link subsystem achieves also the asymptotic stability in Lyapunov sense. For the WAS of the complex dynamical network, the corresponding criteria are derived by checking whether certain matrices are Hurwitz. The analysis results show that even if the isolated nodes are not asymptotically stable in Lyapunov sense, employing the dynamics of link can also force the node subsystem to achieve the asymptotical stability. Finally, the simulation examples show the validity of methods in this paper.

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“…Because of this difficulty, there are few results to deal with the imprecise sensor measurement problem in the decentralized control field. In [32], a decentralized output-feedback small-gain controller using the cyclic-small-gain theorem was proposed to deal with the corruption of the output information owing to sensor noise. However, the previous control scheme [32] necessitates the known bound of the sensor noise.…”

Section: Introductionmentioning

confidence: 99%

“…The local adaptive resilient output-feedback control design using the corrupted output information is presented for each subsystem. (ii) Compared with the existing result [32], the proposed decentralized resilient control methodology ensures the robustness on unknown time-varying measurement sensitivities, without using any bounding information of the measurement sensitivities. The adaptive control strategy is proposed to compensate for unknown bounding effects of measurement sensitivities.…”

Section: Introductionmentioning

confidence: 99%

Decentralized Adaptive Tracking of Interconnected Nonlinear Systems by Corrupted Output Feedback

Jeong

Yoo

2020

Mathematics

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A decentralized adaptive resilient output-feedback stabilization strategy is presented for a class of uncertain interconnected nonlinear systems with unknown time-varying measurement sensitivities. In the concerned problem, the main difficulty is to achieve the decentralization of interconnected output nonlinearities unmatched to the control input by using only local output information corrupted by measurement sensitivity, namely the exact output information cannot be used to design the decentralized output-feedback control scheme. Thus, a decentralized output-feedback stabilizer design using only the corrupted output of each subsystem is developed where the adaptive control technique is employed to compensate for the effects of unknown measurement sensitivities. The stability of the resulting decentralized control scheme is analyzed based on the Lyapunov stability theorem.

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Decentralized output-feedback control of large-scale nonlinear systems with sensor noise

Cited by 55 publications

References 20 publications

Research Progress of the Structure Vibration-Attitude Coordinated Control of Spacecraft

Research Progress of the Structure Vibration-Attitude Coordinated Control of Spacecraft

Asymptotical stability for complex dynamical networks via link dynamics

Decentralized Adaptive Tracking of Interconnected Nonlinear Systems by Corrupted Output Feedback

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