Distributed Optimal State Consensus for Multiple Circuit Systems With Disturbance Rejection

Wang, Zhu; Dong, Wei; Gu, Dongbing

doi:10.1109/tnse.2020.3007472

Cited by 32 publications

(6 citation statements)

References 38 publications

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“…During the last decade, cooperation control of MASs has found substantial success in a variety of applications, such as consensus [1][2][3], tracking control [4][5][6], formation control [7,8], containment 2 NON-FRAGILE CONTAINMENT CONTROL control [9], cooperative output regulation [10] and optimization [11]. Consensus problem, as a fundamental and non-negligible research topic of MASs, requires that all agents achieve an agreement on a common state, depending on the designed consensus protocols using only relative measurements among neighboring agents.…”

Section: Introductionmentioning

confidence: 99%

Non-fragile containment control of nonlinear multi-agent systems via a disturbance observer-based approach

Zhou

Liu

Wang

2023

Preprint

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In this paper, we consider the non-fragile containment control problem of nonlinear multi-agent systems (MASs) with exogenous disturbance where the communication links among agents under consideration is directed. Firstly, based on relative output measurements between the agent and its neighbors, a disturbance observer-based control protocol is proposed to solve the containment control problem of MASs with inherent nonlinear dynamics and exogenous disturbances. Secondly, because of the additional tuning of parameters in the real control systems, uncertainties in the designing of observer and controller gains always occur, and as a result, an output feedback controller with disturbance rejection is conceived and the containment control problem of nonlinear MASs with non-fragility is thoroughly investigated. Then, depending on matrix transformation and inequality technique, sufficient conditions of the designed controller gains exist, which is derived from the asymptotic stability analysis problem of some containment error dynamics of MASs. Finally, two simulation examples are exploited to illustrate the effectiveness of the proposed techniques.

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Section: Introductionmentioning

confidence: 99%

Non-fragile containment control of nonlinear multi-agent systems via a disturbance observer-based approach

Zhou

Liu

Wang

2023

Preprint

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“…In Reference 26, the distributed optimal consensus problem for minimum‐phase uncertain nonlinear systems with unity‐relative degree and disturbances was considered based on nominal and nonfragile cases. Further, In Reference 27, the distributed optimal state consensus problem for an electronic system, compared with the centralized algorithms, the proposed protocol possesses remarkable superiority in improving the scalability and reliability of multiple circuit systems. In Reference 28, a novel adaptive control scheme is developed for active suspension systems to solve the time‐varying.…”

Section: Introductionmentioning

confidence: 99%

Distributed extended state observer‐based fault‐tolerant control for nonlinear multi‐agent systems with switching topologies

Hua,

Dai,

Sun

et al. 2023

Intl J Robust & Nonlinear

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In this paper, a novel fault‐tolerant control scheme is designed and analyzed for multi‐agent systems (MASs) with incipient faults, disturbances, parameter uncertainties, time delay, and nonlinear terms, and the proposed MAS with switching communication topologies. Firstly, the proposed distributed extended state observer estimates the incipient fault and system states in follower agents, which extends the incipient fault vector to a new system state. Meanwhile, the designed observer considers the output errors of itself and other agents. Further, a state estimation feedback‐based fault‐tolerant controller is constructed, composed of a delay estimator and a non‐delay estimator to guarantee the proposed MASs have good operation performance. Then, some stability analysis conclusions of the MAS with incipient faults, time delay, disturbances, parameter uncertainties, and nonlinear terms are obtained. The proposed results can also be applied to practical systems like the wireless power transfer system. Finally, two simulation results are provided to demonstrate the effectiveness of the proposed fault‐tolerant control technique.

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“…In addition, it is revealed that observer gains may show insignificant drifts because sensor equipment gets aging since they are produced offline. More outcomes on nonfragile cases and states uncertainty cases for nonlinear systems can be found in References 47‐54. However, there are some limitations in present works: (a) The observer gains are obtained by solving some linear matrix inequalities (LMIs).…”

Section: Introductionmentioning

confidence: 99%

Nonfragile high‐gain observers for nonlinear systems with output uncertainty

Zhou,

Shen,

Xia

2023

Intl J Robust & Nonlinear

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In this paper, we present the definitions of nonfragile high‐gain observers and design method for lower‐triangular nonlinear systems with output uncertainty. Radial basis function neural networks (RBFNNs) are used to approximate the output uncertainty. By inserting an output filter and an input‐output filter, a new augmented adaptive observable canonical form is derived. Then, a corresponding observer with gain perturbations is designed to estimate the states and the coefficients of the RBFNNs, and a disturbance observer is designed to estimate the approximation error. The maximum allowable gain perturbation is also given. Then, the obtained results are extended to nonlinear systems in adaptive observer form with output uncertainty. Finally, some numerical simulations are offered to corroborate the theoretical results.

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Distributed Optimal State Consensus for Multiple Circuit Systems With Disturbance Rejection

Cited by 32 publications

References 38 publications

Non-fragile containment control of nonlinear multi-agent systems via a disturbance observer-based approach

Non-fragile containment control of nonlinear multi-agent systems via a disturbance observer-based approach

Distributed extended state observer‐based fault‐tolerant control for nonlinear multi‐agent systems with switching topologies

Nonfragile high‐gain observers for nonlinear systems with output uncertainty

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