Event-Triggered Bounded Consensus Tracking for Second-Order Nonlinear Multi-Agent Systems with Uncertainties

Ma, Ying; Gu, Chan; Liu, Yungang; Yu, Linzhen; Tang, Wei

doi:10.3390/e25091335

Cited by 3 publications

(1 citation statement)

References 29 publications

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“…Since then, control theorists and control practitioners have remained highly active in this research area, such as by combining control and information theories [ 6 , 7 ] or linear optimal control and communication theory; examples include [ 8 , 9 , 10 ]. The last few years have also seen an increase in event-triggered NCS solutions [ 11 , 12 , 13 ], that is, asynchronous control closed-loop solutions, which aim to increase the efficiency of specifically limited communication resources while achieving a set of given objectives (stability, performance, robustness, or a combination of these). These and other NCS results are the foundation of better control.…”

Section: Introductionmentioning

confidence: 99%

Differential Entropy-Based Fault-Detection Mechanism for Power-Constrained Networked Control Systems

Rojas

2024

Entropy

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In this work, we consider the design of power-constrained networked control systems (NCSs) and a differential entropy-based fault-detection mechanism. For the NCS design of the control loop, we consider faults in the plant gain and unstable plant pole locations, either due to natural causes or malicious intent. Since the power-constrained approach utilized in the NCS design is a stationary approach, we then discuss the finite-time approximation of the power constraints for the relevant control loop signals. The network under study is formed by two additive white Gaussian noise (AWGN) channels located on the direct and feedback paths of the closed control loop. The finite-time approximation of the controller output signal allows us to estimate its differential entropy, which is used in our proposed fault-detection mechanism. After fault detection, we propose a fault-identification mechanism that is capable of correctly discriminating faults. Finally, we discuss the extension of the contributions developed here to future research directions, such as fault recovery and control resilience.

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Section: Introductionmentioning

confidence: 99%

Differential Entropy-Based Fault-Detection Mechanism for Power-Constrained Networked Control Systems

Rojas

2024

Entropy

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Fully distributed adaptive consensus tracking for uncertain multi-agent systems

Gu,

Ma,

2024

Transactions of the Institute of Measurement and Control

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This work discusses the adaptive consensus tracking for first-order and second-order uncertain multi-agent systems (UMASs). The systems allow multiple uncertainties, including unknown control directions, parameterized unknown nonlinearities, and unknown external disturbances. To compensate for these uncertainties, two novel distributed adaptive control protocols with the dynamic compensation based on Nussbaum-type gain are proposed for first-order and second-order UMASs, respectively. Remarkably, the control protocol is devised in a fully distributed fashion, which is not dependent on the global information of communication graph. Then, under undirected connected graph, it is proved that the proposed control protocol can guarantee the boundedness of all signals in the closed-loop system and the achievement of the consensus tracking (CT). Finally, the theoretical results are validated by two simulation examples.

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Fast Finite-Time Observer-Based Event-Triggered Consensus Control for Uncertain Nonlinear Multiagent Systems with Full-State Constraints

Zhou,

Wang

2024

Entropy

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This article studies a class of uncertain nonlinear multiagent systems (MASs) with state restrictions. RBFNNs, or radial basis function neural networks, are utilized to estimate the uncertainty of the system. To approximate the unknown states and disturbances, the state observer and disturbance observer are proposed to resolve those issues. Moreover, a fast finite-time consensus control technique is suggested in order to accomplish fast finite-time stability without going against the full-state requirements. It is demonstrated that every signal could be stable and boundless, and an event-triggered controller is considered for the saving of resources. Ultimately, the simulated example demonstrates the validity of the developed approach.

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Event-Triggered Bounded Consensus Tracking for Second-Order Nonlinear Multi-Agent Systems with Uncertainties

Cited by 3 publications

References 29 publications

Differential Entropy-Based Fault-Detection Mechanism for Power-Constrained Networked Control Systems

Differential Entropy-Based Fault-Detection Mechanism for Power-Constrained Networked Control Systems

Fully distributed adaptive consensus tracking for uncertain multi-agent systems

Fast Finite-Time Observer-Based Event-Triggered Consensus Control for Uncertain Nonlinear Multiagent Systems with Full-State Constraints

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