Evaluation of novel self‐triggering method for optimisation of communication and control

Memon, Azhar M.; Mahmoud, Magdi S.

doi:10.1049/iet-cta.2015.0780

Cited by 6 publications

(4 citation statements)

References 26 publications

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“…At present, event-triggered model predictive control strategies are mainly studied for two types of systems: unperturbed systems [7][8][9] and perturbed systems [10][11][12][13][14][15]. Similarly, the self-triggered MPC strategies have been investigated in [16][17][18] and so on. More specifically, in [19], event-triggered and self-triggered controls were introduced in general.…”

Section: Introductionmentioning

confidence: 99%

Self-Triggered Model Predictive Control for Perturbed Underwater Robot Systems

et al. 2021

Mathematical Problems in Engineering

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Aiming at solving the control problem of a constrained and perturbed underwater robot, a control method was proposed by combining the self-triggered mechanism and the nonlinear model predictive control (NMPC). The theoretical properties of the kinematic model of the underwater robot, as well as the corresponding MPC controller, are first studied. Then, a novel technique for determining the next update moment of both the optimal control problem and the system state is developed. It is further rigorously proved that the proposed algorithm can (1) stabilize the closed-loop underwater robot system, (2) reduce the time of solving the optimal control problem and (3) save the information transfer resources. Finally, a case study is provided to show the effectiveness of the developed researched scheme.

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Section: Introductionmentioning

confidence: 99%

Self-Triggered Model Predictive Control for Perturbed Underwater Robot Systems

et al. 2021

Mathematical Problems in Engineering

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“…To ensure desired performance and improve the energy efficiency for systems, many control strategies have been proposed [19,20]. Self‐triggered scheme is one of the useful strategies, in which states of the systems are not sampled except that the predicted value of a function is larger than a certain threshold [21]. Then real‐time measurement is avoid and communication burdens are reduced for the NCSs [22].…”

Section: Introductionmentioning

confidence: 99%

A self‐triggered scheme for cyber‐physical systems under denial‐of‐service attacks

Geng

Liu

2019

Asian Journal of Control

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A security issue in the stability analysis problem is investigated for cyber‐physical systems (CPSs) in this paper. A stability guaranteed self‐triggered scheme is proposed to actively defend the denial‐of‐service (DoS) attacks and reduce unnecessary data communications in delta domain. In the self‐triggered scheme, a predictive agent is designed, in which the stability of the CPS is considered. A transmit instant is confirmed based on the packets dropout caused by the DoS attacks and the time‐varying delays in the communication channel. Furthermore, a sufficient condition in view of linear matrix inequalities (LMIs) is derived for stability of the CPS under DoS attacks. Numerical simulations are presented to illustrate the validity of the scheme.

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“…In an event‐triggered strategy, the data transmission/actuation update is determined according to the continuously measured process variables(); meanwhile, in a self‐triggered protocol, the next transmission is decided according to the predicted measurement via a process model. () Event‐triggered MPC and self‐triggered MPC (STMPC) have already been studied a lot in the literature. In the work of Li and Shi, an event‐triggered MPC for nonlinear continuous‐time systems was studied, in which the MPC optimization was triggered only if a predetermined condition on the basis of the value of the MPC objective function was not satisfied.…”

Section: Introductionmentioning

confidence: 99%

Self‐triggered model predictive control for networked control systems based on first‐order hold

Shi

Chen

2017

Intl J Robust & Nonlinear

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Summary In this work, a new self‐triggered model predictive control (STMPC) algorithm is proposed for continuous‐time networked control systems. Compared with existing STMPC algorithms, the proposed STMPC is implemented based on linear interpolation (first‐order hold) rather than the standard zero‐order hold, which helps further reduce the difference between the self‐triggered control signal and the original time‐triggered counterpart and thus reduce the rate of triggering. Based on the first‐order hold implementation, a self‐triggering condition is derived and the corresponding theoretical properties of the closed‐loop system are analyzed. Finally, the comparison between the proposed algorithm and the zero‐order hold–based STMPC is carried out through both theoretical analysis and a simulation example to illustrate the effectiveness of the proposed method.

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Evaluation of novel self‐triggering method for optimisation of communication and control

Cited by 6 publications

References 26 publications

Self-Triggered Model Predictive Control for Perturbed Underwater Robot Systems

Self-Triggered Model Predictive Control for Perturbed Underwater Robot Systems

A self‐triggered scheme for cyber‐physical systems under denial‐of‐service attacks

Self‐triggered model predictive control for networked control systems based on first‐order hold

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