Dual‐terminal event‐triggered dynamic output feedback H∞ control for aero engine networked control systems with quantization

Wang, Weixuan; Shou-sheng, Xie; Peng, Jingbo; Zhang, Yu; Wang, Hao; Zhou, Bin; Wang, Lei

doi:10.1002/rnc.6431

Cited by 7 publications

(3 citation statements)

References 43 publications

(55 reference statements)

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“…When the system ( 13) is only subject to the event-triggered threshold condition (2), according to Corollary 1, we can obtain the controller design approach for the asymptotically stability of systematic system (26).…”

Section: Controller Co-design For Dual Event-triggered Networked Cont...mentioning

confidence: 99%

“…In networked control systems, the channel resources from the controller-actuator (CA) are also constrained by bandwidth resources. At present, there are some research studies on introducing an ETM from the CA to raise the level of network resource utilization [26][27][28][29]. Li et al [30] modeled the closed-loop system as one that exhibits double event-triggered and network-induced delays and studied the dual event-triggered output feedback H ∞ control of NCSs with a networkinduced delay.…”

Section: Introductionmentioning

confidence: 99%

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Dual Event-Triggered Controller Co-Design for Networked Control Systems with Network-Induced Delays

Zhou,

Wang,

Zhang

et al. 2023

Electronics

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To address the presence of network-induced delays in networked control systems (NCSs), a dual event-triggered mechanism (DETM) is used to investigate the problem of reducing network delays and controller co-design. Firstly, the DETM of the sensor–controller (SC) and the controller–actuator (CA) is adopted. By determining whether the sampled data meet the event-triggered threshold conditions for network transmission, we effectively reduce the sampled data transmitted over the network, which can reduce a network delay by reducing occupation of the network resources. Secondly, a dual event-triggered NCS model with a network-induced delay is developed, and a Lyapunov function including a DETM and network-induced delay is chosen. The functional upper limit of the Lyapunov function is estimated by combining the Wirtinger’s-based integral inequality with the reciprocally convex approach. This results in a stability criterion for systems with low conservativeness and a controller co-design method for a DETM. Finally, the availability of this method was verified through a numerical example and case study.

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Section: Controller Co-design For Dual Event-triggered Networked Cont...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dual Event-Triggered Controller Co-Design for Networked Control Systems with Network-Induced Delays

Zhou,

Wang,

Zhang

et al. 2023

Electronics

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“…The inherently nonlinear nature of aero-engines presents a challenge when applying existing nonlinear control theories to this complex system. As a result, most accepted approaches rely on linear systems theory for aero-engine control theory [1][2][3]. However, this requires the nonlinear models to be transformed into linear forms that are more amenable for analysis and control design, which can be a daunting task.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Control for an Aero-Engine Based on the Takagi-Sugeno Fuzzy Model

2023

Self Cite

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This paper presents a study on the modeling and control of an aero-engine within the full flight envelope using the Takagi–Sugeno (T-S) fuzzy theory. A highly accurate aero-engine small deviation state variable model (SVM) was developed using the adaptive differential evolution, based on numerous successes through history, with the linear population size reduction (L-SHADE) algorithm. The affinity propagation (AP) clustering algorithm was then implemented to realize the division of flight envelopes based on the gap metric between the SVMs at each working point. By solving the membership parameters using the L-SHADE algorithm, the T-S fuzzy model was obtained, which has flight conditions as premises and engine linear SVM as consequences. Furthermore, based on the established T-S fuzzy model and T-S control theory, a controller design method is proposed. The simulation results show that the T-S fuzzy model has high accuracy and good generalization capability within the flight envelope, and the proposed control method can guarantee the asymptotic stability of the system, subject to external disturbance and time delay.

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Exponential stabilization of aero-engine T-S fuzzy system with decentralized dynamic event-triggered mechanism

Wang,

Peng,

Xie

et al. 2023

Nonlinear Dyn

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Dual‐terminal event‐triggered dynamic output feedback H∞ control for aero engine networked control systems with quantization

Cited by 7 publications

References 43 publications

Dual Event-Triggered Controller Co-Design for Networked Control Systems with Network-Induced Delays

Dual Event-Triggered Controller Co-Design for Networked Control Systems with Network-Induced Delays

Modeling and Control for an Aero-Engine Based on the Takagi-Sugeno Fuzzy Model

Exponential stabilization of aero-engine T-S fuzzy system with decentralized dynamic event-triggered mechanism

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