Event-triggered communication and H∞H∞ control co-design for networked control systems

By Chen Peng, Tai Cheng Yang. at - Automatisierungstechnik, 2013

619 citations recorded by the source corpus.

This paper studies an event-triggered communication scheme and an H"~ control co-design method for networked control systems (NCSs) with communication delay and packet loss. First, an event-triggered communication scheme and a sampled-state-error dependent model for NCSs are presented. In this scheme and model, (a) the sensor takes samples in a periodic manner; (b) a triggering condition is applied to the sampled signal to determine whether a signal is transmitted to the controller or not; and (c) the closed-loop system with a networked state feedback controller is modeled as a time-delay system. Secondly, by constructing a novel Lyapunov-Krasovskii functional, three theorems for the system asymptotical stability subject to imperfect communications are derived. Thirdly, a new algorithm is developed for the triggering condition and the controller feedback gain to meet the specified performance. This design algorithm is based on the two permissible limits on the signal transfer. These limits are: the maximum allowable communication delay bound and the maximum allowable number of successive packet losses, respectively. Finally, the proposed co-design method is demonstrated by two numerical examples.

Subfields: Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/b377f4b9a106005fa01f9b402495333f8e5ce075

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Qing-Long Han
2. Xianming Zhang
3. Chen Peng
4. Dong Yue
5. Songlin Hu
6. Xiangpeng Xie
7. Hongtao Sun
8. Guanghong Yang

In Control and Systems Engineering

1. Qing-Long Han
2. Chen Peng
3. Xianming Zhang
4. Dong Yue
5. Hongtao Sun
6. Hongyi Li
7. Guanghong Yang
8. Songlin Hu

Citations in the corpus

• Event-Triggered Finite-Time Control for Networked Switched Linear Systems With Asynchronous Switching (2018, background): “Since the event-triggered communication scheme can save precious communication resources, which are widely studied for a variety of systems [11]–[13].”
• Event‐triggered adaptive backstepping control for parametric strict‐feedback nonlinear systems (2018, background): “(36) The jump dynamics of the last held state x̂i is given by x̂+ i = xi, t = tk.”
• Security-Based Fuzzy Control for Nonlinear Networked Control Systems With DoS Attacks via a Resilient Event-Triggered Scheme (2022, methodology): “Similar to [17], we introduce the communication delays τtk .”
• Communication and control co-design for wireless sensor networked control systems (2014, methodology): “This approach allows a considerable reduction of network load while guaranteeing the specific control performance [9-14].”
• Event-triggered dissipative filtering for networked semi-Markov jump systems and its applications in a mass-spring system model (2016, neutral): “It should be pointed out that the time-triggered scheme with the fixed sampling interval cannot perform the case when the measurement signals have little fluctuating [19].”
• Event-triggered sliding mode control of stochastic systems via output feedback (2017, neutral): “Detailed illustration of τ( t ) was presented in Peng and Yang (2013).”
• 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”
• Output-Based and Decentralized Dynamic Event-Triggered Control With Guaranteed $\mathcal{L}_{p}$- Gain Performance and Zeno-Freeness (2017, background): “These include [33], [34], and [36], all using PETC schemes.”
• Event-Triggered Adaptive Tracking Control for Multiagent Systems With Unknown Disturbances (2020, background): “Peng and Yang [18] considered an event-triggered control problem for NCSs with event-triggered communication and H∞ control codesign.”
• Switching-Like Event-Triggered Control for Networked Control Systems Under Malicious Denial of Service Attacks (2020, methodology): “The event-triggered scheme in [19] is vulnerable to DoS attacks.”
• Observer-Based Non-PDC Control for Networked T–S Fuzzy Systems With an Event-Triggered Communication (2017, methodology): “[27] H. C. Yan, Z. Z. Su, H. Zhang, and F. W. Yang, “Observer-based H∞ control for discrete-time stochastic systems with quantisation and random communication delays,” IET Control Theory Appl., vol. 7, no. 3, pp. 372–379, 2013.”
• Resilient Event-Triggering $H_{\infty }$ Load Frequency Control for Multi-Area Power Systems With Energy-Limited DoS Attacks (2017, background): “For convenience, the average transmission time T̃ is defined as the ratio of a given period of time T to the number of transmitted sampled data [18].”
• Adaptive Event-Triggering ${H}_{\infty }$ Load Frequency Control for Network-Based Power Systems (2018, methodology): “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.”
• An Overview and Deep Investigation on Sampled-Data-Based Event-Triggered Control and Filtering for Networked Systems (2017, background): “In [91], one way to handle packet dropouts is suggested.”