Event-triggered output feedback sliding mode control of mechanical systems

Yan, Yan; Wang, Rui; Yu, Shuanghe; Wang, Chaoli; Li, Tieshan

doi:10.1007/s11071-021-07152-1

Cited by 14 publications

(5 citation statements)

References 41 publications

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“…which means that ι(t) ≥ ι 0 e −(η+ 1 µϑ )t ≥ 0 with ι 0 ≥ 0. ■ Remark 3: Different from the static ETP [9,32,39,41,42], a dynamic ETP is adopted to better improve transmission efficiency. The triggered condition (3) contains a dynamic variable ι(t), the value of which can be dynamically adjusted according to the states z(t) and κ(t).…”

Section: B Dynamic Etp With Channel Fadingmentioning

confidence: 99%

“…Another issue is the triggered protocol. Based on the limited network bandwidth resources, an event-triggered protocol (ETP) has been developed to reduce the network burden [41,42]. Compared with time-triggered protocol, the advantage of ETP lies in effectively reducing the transmitted number of sampled signals, so as to improve the utilization of computing and communication resources and avoid resource waste.…”

mentioning

confidence: 99%

“…Compared with time-triggered protocol, the advantage of ETP lies in effectively reducing the transmitted number of sampled signals, so as to improve the utilization of computing and communication resources and avoid resource waste. However, it is worth noting that most of the previous research results fucus on the static ETP [41,42], that is, the parameter related to the triggered condition is time-invariant. With the in-depth study of event-triggered rule, the dynamic ETP related to internal dynamic variable has been proposed to reduce the triggered frequency [22,23,[43][44][45].…”

mentioning

confidence: 99%

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Protocol-Based SMC for Interval Type-2 Fuzzy Semi-Markovian Jumping Systems With Channel Fading

Zhang

Park

et al. 2023

IEEE Trans. Fuzzy Syst.

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The sliding mode control (SMC) problem is studied for interval type-2 fuzzy semi-Markovian jumping systems (S-MJSs) subject to channel fading. To reduce the network burden, a dynamic event-triggered protocol is adopted to improve the transmission efficiency. A key feature is that the signal transmission is inevitably affected by fading phenomenon due to random noise and amplitude attenuation during the wireless communication. The main challenge lies in designing an appropriate fuzzy control scheme to achieve the reachability of the specified sliding region in line with channel fading. Under the common sliding surface, a fuzzy SMC law is constructed, which is related to the state signals affected by dynamic event-triggered protocol and channel fading. Then, by means of the boundary information of the global membership functions, sufficient conditions to ensure the stochastic stability of the underlying system, and the system states can be driven on the specified sliding region within a finite-time interval, which attenuates the influence of the channel fading. In the end, the tunnel diode circuit model is simulated to verify the proposed SMC strategy.

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Section: B Dynamic Etp With Channel Fadingmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Protocol-Based SMC for Interval Type-2 Fuzzy Semi-Markovian Jumping Systems With Channel Fading

Zhang

Park

et al. 2023

IEEE Trans. Fuzzy Syst.

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“…[32][33][34][35][36] Just list a few, for better handling the impact of attacks, the authors 37 designed an event-triggered controller which could adaptively adjust the threshold to adapt the communication frequency. Adopting sliding mode control technique, a new event-triggered method 38 was put forward for the uncertain mechanical systems. Through combining the barrier Lyapunov function and event-triggered scheme, the transmission efficiency was improved for nonlinear systems under state constraints.…”

Section: Introductionmentioning

confidence: 99%

Event‐triggered adaptive control for a class of switched nonlinear interconnected systems

Liu,

Zhao,

Chen

et al. 2023

Adaptive Control & Signal

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SummaryIn this article, the adaptive event‐triggered control issue is researched for a kind of switched nonlinear interconnected systems subject to unknown backlash‐like hysteresis and control coefficients. The fuzzy logic systems (FLSs) are employed to approximate the unknown nonlinear functions. To deal with the unknown control coefficients, the Nussbaum method and adaptive control are introduced. The proposed event‐triggered controller can effectively lessen the communication burden, meanwhile, the Zeno behavior is eliminated. It is guaranteed that the system outputs can track the reference signals and all the system signals are semi‐globally uniformly ultimately bounded (SGUUB). Finally, the simulation results verify the effectiveness of this control scheme.

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“…Yuxin Su et al proposed a new fixed-time sliding surface, and designed a robust control to ensure global approximate fixed time convergence in [ 17 ]. An event-triggered sliding mode control method is proposed in [ 18 ]. In this method, a sliding mode control law is proposed, and an input event trigger mechanism is introduced to determine when the control signal is transmitted to the actuator side through the network.…”

Section: Introductionmentioning

confidence: 99%

Saturated Nonsingular Fast Sliding Mode Control for the Crane-Form Pipeline System

Wang

2022

Entropy

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The crane-form pipeline (CFP) system is a kind of petrochemical mechanical equipment composed of multiple rotating joints and rigid pipelines. It is often used to transport chemical fluid products in the factory to tank trucks. In order to realize the automatic alignment of the CFP and the tank mouth, the trajectory tracking control problem of the CFP must be solved. Therefore, a saturated nonsingular fast terminal sliding mode (SNFTSM) algorithm is proposed in this paper. The new sliding mode manifold is constructed by the nonsingular fast terminal sliding mode (NFTSM) manifold, saturation functions and signum functions. Further, according to the sliding mode control algorithm and the dynamic model of the CFP system, the SNFTSM controller is designed. Owing to the existence of saturation functions in the controller, the stability analysis using the Lyapunov equation needs to be discussed in different cases. The results show that the system states can converge to the equilibrium point in finite time no matter where they are on the state’s phase plane. However, due to the existence of signum functions, the control signal will produce chattering. In order to eliminate the chattering problem, the form of the controller is improved by using the boundary layer function. Finally, the control effect of the algorithm is verified by simulation and compared with the NTSM, NFTSM and SNTSM algorithms. From the comparison results, it is obvious that the controller based on the SNFTSM algorithm can effectively reduce the amplitude of the control torque while guaranteeing the fast convergence of the CFP system state error. Specifically, compared with the NFTSM algorithm, the maximum input torque can even be reduced by more than half.

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Event-triggered output feedback sliding mode control of mechanical systems

Cited by 14 publications

References 41 publications

Protocol-Based SMC for Interval Type-2 Fuzzy Semi-Markovian Jumping Systems With Channel Fading

Protocol-Based SMC for Interval Type-2 Fuzzy Semi-Markovian Jumping Systems With Channel Fading

Event‐triggered adaptive control for a class of switched nonlinear interconnected systems

Saturated Nonsingular Fast Sliding Mode Control for the Crane-Form Pipeline System

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