Event-Triggered Control for Nonlinear Systems Under Unreliable Communication Links

Li, Hongyi; Chen, Ziran; Wu, Ligang; Lam, Hak‐Keung

doi:10.1109/tfuzz.2016.2578346

Cited by 145 publications

(40 citation statements)

References 47 publications

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“…One of the future research directions should focus on the adaptive ETC of nonlinear systems with network induced time‐varying delays and random packet losses. () The extension of the proposed approach to handle the ETC problem of more general nonlinear systems() also deserves significant research attention.…”

Section: Discussionmentioning

confidence: 99%

Event‐triggered adaptive backstepping control for parametric strict‐feedback nonlinear systems

Yang

2017

Intl J Robust & Nonlinear

119

115

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Summary This paper proposes a novel adaptive backstepping control method for parametric strict‐feedback nonlinear systems with event‐sampled state and input vectors via impulsive dynamical systems tools. In the design procedure, both the parameter estimator and the controller are aperiodically updated only at the event‐sampled instants. An adaptive event sampling condition is designed to determine the event sampling instants. A positive lower bound on the minimal intersample time is provided to avoid Zeno behavior. The closed‐loop stability of the adaptive event‐triggered control system is rigorously proved via Lyapunov analysis for both the continuous and jump dynamics. Compared with the periodic updates in the traditional adaptive backstepping design, the proposed method can reduce the computation and the transmission cost. The effectiveness of the proposed method is illustrated using 2 simulation examples.

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Section: Discussionmentioning

confidence: 99%

Event‐triggered adaptive backstepping control for parametric strict‐feedback nonlinear systems

Yang

2017

Intl J Robust & Nonlinear

119

115

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“…In recent years, a lot of scholars have devoted themselves to the study of nonlinear systems, for example, Fuzzy Control, [1][2][3] anti-windup control, 4 adaptive robust control, 5 backstepping control, 6 and state feedback control 7 . The nonlinearity also exists in the chaotic system.…”

Section: Introductionmentioning

confidence: 99%

Synchronization approach for chaotic time-varying delay system based on Wirtinger inequality

Zhao

Zhang

et al. 2017

Advances in Mechanical Engineering

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A novel control approach based on Wirtinger inequality is designed for nonlinear chaos synchronization time delay system. In order to reduce the conservatism for the stability criterion, a Lyapunov-Krasovskii functional with triple-integral term is constructed. The improved Wirtinger inequality is used to reduce the conservative which is caused by Jensen inequality, and a stability criterion is proposed by reciprocally convex method. Furthermore, a state feedback controller is designed to synchronize the master-slave systems based on the proposed criteria through cone complementary linearization approach. Finally, a simulation for Lorenz chaos time delay system is given to prove the validity based on the proposed synchronization control approach.

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Section: A Background and Motivationmentioning

confidence: 99%

“…Deep fades inevitably cause a significant degradation in the overall vehicular system performance and result in undesirable safety issues, such as vehicle collisions. To maintain system safety and quality performance, VNS may require a large amount of communication resources, such as channel bandwidth, to [30].Another challenge of using the event-based strategies under unreliable communication is that a strictly positive minimum inter-event time (MIET) may not be guaranteed if packet loss or delay is present. As discussed in [31], the loss of MIET inevitably leads to Zeno phenomenon that generates infinite transmissions or samplings with a finite time interval and seriously hinders the practical implementation of eventbased strategies.…”

mentioning

confidence: 99%

Event-Based Adaptive Power Control in Vehicular Networked Systems With State-Dependent Bursty Fading Channels

2020

IEEE Trans. Circuits Syst. II

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Vehicular Networked Systems (VNS) are mobile ad hoc networks where vehicles exchange information over wireless communication networks to ensure safe and efficient operation. It is, however, challenging to ensure system safety and efficiency as the wireless channels in VNS are often subject to state-dependent deep fades where the data rate suffers a severe drop and changes as a function of vehicle states. Such couplings between vehicle states and channel states in VNS thereby invalidate the use of separation principle to design event-based control strategies. By adopting a state-dependent fading channel model that was proposed to capture the interaction between vehicle and channel states, this paper presents a novel self-triggered scheme under which the VNS ensures efficient use of communication bandwidth while preserving stochastic stability. The novelty of the proposed scheme lies in its use of the state-dependent fading channel model in the event design that enables an adaptive and effective adjustment on transmission frequency in response to dynamic variations on channel and vehicle states. Under the proposed self-triggered scheme, this paper presents a novel source coding scheme that tracks vehicle's states with performance guarantee in the presence of state-dependent fading channels. The efficacy and advantages of the proposed scheme over other event-based strategies are verified through both simulation and experimental results of a leader-follower example. I. INTRODUCTION A. Background and MotivationVehicular Networked Systems (VNS) consist of numerous vehicles coordinating their operations by exchanging information over a wireless radio communication network. VNS represents one type of mobile ad hoc networks that have been deployed in a variety of safety-critical applications, such as intelligent transportation systems with Vehicle to Vehicle (V2V) communication [1], [2], [3], air transportation systems with Automatic Dependent Surveillance-Broadcast (ADS-B) [4], [5] and underwater autonomous vehicles with optic or acoustic communication [6], [7].These vehicular networks, however, are often subject to deep fades where the data rate drops precipitously and remains low over a contiguous period of time. Such deep fades functionally depend on the vehicles' physical states (e.g. intervehicle distance, velocities and heading angles) [8], [3]. Deep fades inevitably cause a significant degradation in the overall vehicular system performance and result in undesirable safety issues, such as vehicle collisions. To maintain system safety and quality performance, VNS may require a large amount of communication resources, such as channel bandwidth, to [30].Another challenge of using the event-based strategies under unreliable communication is that a strictly positive minimum inter-event time (MIET) may not be guaranteed if packet loss or delay is present. As discussed in [31], the loss of MIET inevitably leads to Zeno phenomenon that generates infinite transmissions or samplings with a finite time interval and seriously...

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Event-Triggered Control for Nonlinear Systems Under Unreliable Communication Links

Cited by 145 publications

References 47 publications

Event‐triggered adaptive backstepping control for parametric strict‐feedback nonlinear systems

Event‐triggered adaptive backstepping control for parametric strict‐feedback nonlinear systems

Synchronization approach for chaotic time-varying delay system based on Wirtinger inequality

Event-Based Adaptive Power Control in Vehicular Networked Systems With State-Dependent Bursty Fading Channels

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