A High-Gain Approach to Event-Triggered Control With Applications to Motor Systems

Shi, Dawei; Jishan, Xue; Wang, Junzheng; Huang, Yuan

doi:10.1109/tie.2018.2873516

Cited by 38 publications

(17 citation statements)

References 36 publications

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“…This exponentially convergent term γe − λt can be used to adjust the triggering frequency during the initial stage. Third, the highest powers of the high‐gain parameters in are r or r +1, while here the highest power of the high‐gain parameter in is only 1.…”

Section: Event‐triggered Casade High‐gain Observer With Saturationmentioning

confidence: 87%

“…However, here we do not need such additional assumptions, and the design parameters of the event‐triggered mechanism only depend on the parameters of the observer. Second, different from the event‐triggered mechanisms in References , and , here the event‐triggered mechanism contains not only a constant term δ but also an exponentially convergent term γe − λt . This exponentially convergent term γe − λt can be used to adjust the triggering frequency during the initial stage.…”

Section: Event‐triggered Casade High‐gain Observer With Saturationmentioning

confidence: 89%

“…By far, a variety of event‐triggered control problems have been studied such as event‐triggered stabilization problem, event‐triggered tracking problem, event‐triggered output regulation problem, event‐triggered state estimation problem, and so on. It is worth mentioning that the event‐triggered high‐gain observer plays an important role in References , , and . Specifically, in Reference , an event‐triggered dynamic high‐gain observer was designed to estimate the state of a class of nonlinear systems satisfying the growth condition, and then an event‐triggered observer‐based output feedback control law was designed to solve the stabilization for the class of nonlinear systems.…”

Section: Introductionmentioning

confidence: 99%

“…In Reference , an event‐triggered extended high‐gain observer was designed to estimate the state of a class of nonlinear systems. In Reference , an event‐triggered high‐gain observer was further designed to estimate the state of a class of multivariable nonlinear systems. Note that, in the above four event‐triggered high‐gain observers, the highest powers of the high‐gain parameters are r or r +1.…”

Section: Introductionmentioning

confidence: 99%

“…It it noted that one main challenge of the event-triggered strategy is to avoid the so-called Zeno behavior, that is, the number of the sampling times becomes infinite in a finite time, which leads to infeasible implementation for the event-triggered strategy. By far, a variety of event-triggered control problems have been studied such as event-triggered stabilization problem, [16][17][18] event-triggered tracking problem, 19,20 event-triggered output regulation problem, 21,22 event-triggered state estimation problem, [23][24][25] and so on. It is worth mentioning that the event-triggered high-gain observer plays an important role in References 17, 21, 23, and 24.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Event‐triggered cascade high‐gain observer and its application

Liu

Huang

2020

Intl J Robust & Nonlinear

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Summary In this article, we consider the event‐triggered cascade high‐gain observer (ETCHGO) for a class of nonlinear systems. By cascading lower dimensional observers, we design a cascade high‐gain observer together with a Zeno‐free event‐triggered mechanism to estimate the state of the plant. We show that the ETCHGO has the same steady‐state performance as the continuous‐time cascade high‐gain observer, that is, there is a finite time after which the estimation error will not exceed the given threshold, and moreover, the finite time and the threshold can be made sufficiently small by adjusting some design parameters. We also investigate an ETCHGO with saturation, which will reduce the peaking value while maintaining the steady‐state estimation performance. Furthermore, we use the ETCHGO with saturation to solve the output feedback stabilization problem for a class of nonlinear systems. An example is given to illustrate our results.

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Section: Event‐triggered Casade High‐gain Observer With Saturationmentioning

confidence: 87%

Section: Event‐triggered Casade High‐gain Observer With Saturationmentioning

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Event‐triggered cascade high‐gain observer and its application

Liu

Huang

2020

Intl J Robust & Nonlinear

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Command filter and high gain observer based adaptive output feedback control for stochastic nonlinear systems with prescribed performance and input quantization

Tang,

Zhang,

Xia

2023

Adaptive Control & Signal

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SummaryIn this paper, an adaptive output feedback dynamic surface control (DSC) strategy is proposed for strict‐feedback stochastic nonlinear systems with input quantization, prescribed performance and dynamic uncertainties. A new quantizer is used to process the input signal, which can avoid the chattering of the quantization signal and keep the upper bound of the quantization error constant. Radial basis functions are used to approximate unknown smooth functions, unmodeled dynamics are processed by dynamic signals, and unmeasurable states are estimated by high gain observer. Hyperbolic tangent functions are employed to handle prescribed performance. The second order command filter is used to replace the first order filter used in general DSC, and the compensation term is added in each step of DSC. By the Lyapunov stability analysis, all signals in the controlled system are semi‐globally uniformly ultimately bounded (SGUUB) in probability. Two examples further prove that the control scheme designed in this paper is reasonable and effective.

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Trigger‐based tracking control for a class of uncertain nonlinear systems via an event‐triggered extended state observer

Yang

Yue

2020

Intl J Robust & Nonlinear

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An event-triggered observer-based output feedback control issue together with triggered input is investigated for a class of uncertain nonlinear systems subject to unknown external disturbances. Two separate event-triggered conditions are located on the measurement channel and control channel, respectively. An event-triggered extended state observer (ETESO) is employed to estimate unmeasurable states and compensate uncertainties and disturbances in real time while it is not required for real-time output measurement. Then, combined with backstepping method and active disturbance rejection control, an output feedback control scheme is proposed, where an event-triggered input is developed for reducing the communication rate between the controller and the actuator. The triggered instants are determined by a time-varying event-triggered condition. Two simulations, including a numerical example and an permanent-magnet motor, are illustrated to verify the effectiveness of the proposed schemes.

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A High-Gain Approach to Event-Triggered Control With Applications to Motor Systems

Cited by 38 publications

References 36 publications

Event‐triggered cascade high‐gain observer and its application

Event‐triggered cascade high‐gain observer and its application

Command filter and high gain observer based adaptive output feedback control for stochastic nonlinear systems with prescribed performance and input quantization

Trigger‐based tracking control for a class of uncertain nonlinear systems via an event‐triggered extended state observer

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