To Transmit or Not to Transmit: A Discrete Event-Triggered Communication Scheme for Networked Takagi–Sugeno Fuzzy Systems
By Chen Peng, Qing-Long Han, Dong Yue. IEEE transactions on fuzzy systems, 2013
349 citations recorded by the source corpus.
This paper first proposes a discrete event-triggered communication scheme for a class of networked Takagi-Sugeno (T-S) fuzzy systems. This scheme has two main features: 1) Whether or not the sampled state should be transmitted is determined by the current-sampled state and the error between the current-sampled state and the latest transmitted state. Compared with those in a periodic time-triggered communication scheme, the communication bandwidth utilization is considerably reduced while preserving the desired control performance; and 2) it is a discrete event-triggered communication scheme due to the fact that the triggered conditions are only measured and checked at a constant sampling period. Compared with a continuous event-triggered communication scheme, the special hardware for continuous measurement and computation is no longer needed. Second, a networked T-S fuzzy model is delicately constructed, which not only considers nonuniform time scales in the networked T-S fuzzy model and the parallel distributed compensation fuzzy control rules but includes the aforementioned state error as well. Third, a stability criterion and a stabilization criterion about the networked T-S fuzzy system are derived, respectively. The stability criterion and stabilization criterion can provide a tradeoff to balance the required communication resource and the desired performance: Lowering the desired performance allows the network to allocate more limited bandwidth to other nodes in need. Finally, a numerical example is given to show the effectiveness of the proposed method.
Subfields: Computer Networks and Communications, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/938dd5f933095fd19c5d84775273e9a661ca3e58
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Citations in the corpus
- Adaptive Event-Triggering ${H}_{\infty }$ Load Frequency Control for Network-Based Power Systems (2018, background): “Different from the published works [17], [18] with a constant event-triggered threshold parameter, an improved adaptive event-triggered communication scheme is provided in this work to reduce the number of transmitted packets while keeping the desired control performance.”
- Network-based leader-following consensus of nonlinear multi-agent systems via distributed impulsive control (2017, background): “As the bandwidth of the communication network and the power source of the agents are limited, energy-saving control strategy are preferred in applications, which has drawn much attention in the area of networked control systems [22, 23].”
- Event-Triggered Fault Detection of Nonlinear Networked Systems (2017, methodology): “Several methods have been developed to save that resource [40]–[45], in which the event generator is a critical factor [46], [47].”
- Event-triggered dynamic output feedback control for networked control systems (2014, neutral): “In recent years, the event-triggering mechanism has been applied to NCSs to save the limited communication resources, and the readers can be referred to [8–17].”
- Sampling‐interval‐dependent stability for sampled‐data systems with state quantization (2014, background): “Over the last two decades, sampled-data systems have received substantial attention because of their wide applications in digital control systems and networked control systems [1–7].”
- Observer-Based Output Feedback Event-Triggered Control for Consensus of Multi-Agent Systems (2014, background): “This motivates the development of event-triggered control schemes for networked control systems [13] and digital platforms [9]–[12], [14], [15].”
- Recent Advances on Fuzzy-Model-Based Nonlinear Networked Control Systems: A Survey (2016, background): “To mention a few, the authors in [124] proposed a discrete event-triggered transmis-”
- Adaptive event‐triggered control for nonlinear discrete‐time systems (2016, background): “Up to now, there are several interesting extensions to the research presented in [11], including event-triggered quantized control design problem for networked linear systems [13–15], event-basedH1 filter design problem for networked systems [16–18], L2-gain analysis of event-triggered networked lin”
- Event-Triggering Load Frequency Control for Multiarea Power Systems With Communication Delays (2016, background): “On the other hand, event-triggered control has been investigated in wireless sensor/actuator systems via event-triggered communication [30], [31].”