Sliding Mode-Based Robustification of Consensus and Distributed Optimization Control Protocols

Pilloni, Alessandro; Franceschelli, Mauro; Pisano, Alessandro; Usai, Elio

doi:10.1109/tac.2020.2991694

Cited by 22 publications

(4 citation statements)

References 36 publications

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“…Since the system in (5) contains the equivalent disturbance component

H

, it is necessary to attenuate it by a reasonable way. As a powerful disturbance attenuation tool with the advantage of simplicity and speed over techniques such as model adaptive control technology, 31 the SMC technique has yielded a number of interesting results in recent years (see the literature 32–35 for details). Therefore, we utilize the SMC technique to compensate the equivalent external perturbation contains in (5).…”

Section: Resultsmentioning

confidence: 99%

Differential graphical games of multiagent systems with nonzero leader's control input and external disturbances

Huang,

Zhang,

Yan

et al. 2024

Intl J Robust & Nonlinear

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In this article, we investigate the problem of differential graphical games for multiagent systems (MASs) with external disturbances. In particular, the system considered in this article allows the leader to have an unknown bounded control input, and the communication topology between agents is allowed to be a weakly restricted structure with only containing a directed spanning tree. We propose a novel dynamic sliding mode control strategy to dispose the presence of leader's nonzero control input and external disturbances. Furthermore, a nominal controller based on the worst‐case control strategies of neighbors is designed to provide a distributed solution for differential graphics games of MASs. Finally, our algorithms are applied to solve multiple unmanned surface vessels games. Simulation studies are provided to test the effectiveness of the proposed algorithms.

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“…Since the system in (5) contains the equivalent disturbance component

H

Section: Resultsmentioning

confidence: 99%

Differential graphical games of multiagent systems with nonzero leader's control input and external disturbances

Huang,

Zhang,

Yan

et al. 2024

Intl J Robust & Nonlinear

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“…As with traditional SMC, this acceptable value can keep the system stable and resilient. The goal is to adaptively tune the controller gain without knowing the system's maximum uncertainty bound [18], [20], [21]. The ASMC is organized as:…”

Section: Sliding Mode Controller (Smc)mentioning

confidence: 99%

A novel multiple access communication protocol for LoRa networks without LoraWAN

Rakan¹,

Subhi²,

Mhmood³

2023

IJEECS

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Exoskeletons and wearable robots are mechatronic devices that are worn by an operator and fit closely to the body to improve daily activities. The adaptive sliding mode control (ASMC) based on the barrier function is proposed in this study to regulate the movement of the knee joint exoskeleton with friction. This controller is implemented without the requirement to know the system model uncertainty and disturbance bounded and does not require the use of the low pass for chattering elimination with keeping the controller’s performance. The suggested barrier method can be guaranteed the output variable’s convergence and keep it in a preset neighborhood of zero regardless of the disturbance’s upper bound, without overestimating the control gain. The simulation results show that the proposed performs well, the system angle following the target angular position with a modest pre-adjusted steady-state error. Furthermore, when compared to a typically strong and stable ASMC developed with the identical actuator; the obtained results reveal superior features. Concluded from the above this control method indicates the robustness of the proposed adaptive controller with barrier function against uncertainties and disturbances elimination.

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“…Therefore, the research on the synchronization of MNNs is similar to the research on the consensus of multi-agents. Recently, a variety of control strategies have emerged for the consensus of multi-agents, such as impulse control, 8 optimal control, 9 sliding mode control (SMC), 10,11 event-triggered control, 12,13 and pinning control. 14 In recent years, wireless communication network develops rapidly, but it is vulnerable to attackers because of its unstable transmission channel.…”

Section: Introductionmentioning

confidence: 99%

Robust secure synchronization control for multiple neural networks: An event‐triggered adaptive integral sliding mode method

Wang

Dong

Tian

et al. 2022

Intl J Robust & Nonlinear

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This article investigates the robust secure synchronization control of multiple neural networks (MNNs) systems with external random disturbances in the presence of actuator and sensor attacks. First, the types of attacks are analyzed in detail. Actuator attacks refers to the damage of control input signals transmitted through the network layer, and sensor attacks refers to the damage of communication channels between neural networks (NNs). Then, for the attacked NNs system, by introducing a novel neighborhood synchronization error, two novel integral sliding mode (ISM) functions with the event-triggered mechanisms are designed. Based on this, a distributed event-triggered adaptive ISM secure synchronization control scheme is proposed. It is worth noting that the control signal and adaptive parameters in the proposed scheme are only updated at the triggering time instants, which further saves the energy and resources consumed by the system. Next, the sufficient conditions for secure synchronization of MNNs system are obtained by constructing Lyapunov function and a positive lower bound of the internal execution time is ensured. Finally, a numerical example is given to demonstrate the effectiveness of the proposed secure synchronization control strategy.

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Sliding Mode-Based Robustification of Consensus and Distributed Optimization Control Protocols

Cited by 22 publications

References 36 publications

Differential graphical games of multiagent systems with nonzero leader's control input and external disturbances

Differential graphical games of multiagent systems with nonzero leader's control input and external disturbances

A novel multiple access communication protocol for LoRa networks without LoraWAN

Robust secure synchronization control for multiple neural networks: An event‐triggered adaptive integral sliding mode method

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