2022
DOI: 10.1109/tac.2021.3115435
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Adaptive Event-Triggered Control of Uncertain Nonlinear Systems Using Intermittent Output Only

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Cited by 73 publications
(46 citation statements)
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“…These results verify the effectiveness of the proposed method and it can be clearly seen that the control performance is improved on the basis of existing methods. Tracking Error z1(t) in this paper z1(t) in [5] z1(t) in [11] Fig. 5.…”
Section: Time-varying Feedback Based Controllermentioning
confidence: 74%
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“…These results verify the effectiveness of the proposed method and it can be clearly seen that the control performance is improved on the basis of existing methods. Tracking Error z1(t) in this paper z1(t) in [5] z1(t) in [11] Fig. 5.…”
Section: Time-varying Feedback Based Controllermentioning
confidence: 74%
“…This is particularly true when system order increases, because at each step of design, the time derivatives of virtual control signals α i (i = 1, • • • , n − 1) are required in the next step, thereby u(t) requires the first-order time derivative of α n−1 , which requires the second-order time derivative of α n−2 , and so on, rendering the analytical computation of the repetitive derivative of the virtual control quite involved. Several efforts, such as dynamic surface control (DSC) [2]- [5], command filtered backstepping [6], [7], and neural networks/fuzzy logic systems approximation [20]- [23] have been made in alleviating such complexity.…”
Section: Introductionmentioning
confidence: 99%
“…Remark 3. To see the novelty of the proposed control method, it is worth making the following comments: i) The proposed distributed scheme is based upon the networked strict-feedback systems with directed communication and state-triggering setting, which includes the existing results in [10], [19], [20] as special cases; ii) Different from the methods in [8], [10], [19], where the system uncertainties must be parametric, the agent model considered here is non-identical and in strict-feedback form with mismatched and nonparametric uncertainties; and iii) Unlike the results in [10], [19], the communication regarding all states is executed via an event-based discontinuous way in this work, which saves both communication and energy resources.…”
Section: B Controller Designmentioning
confidence: 99%
“…The work in [6] further considers a class of nonlinear systems in the framework of event-triggered control, while the input-to-state stability (ISS) condition is required. Such limitation is successfully removed in [7], [8] by developing some event-triggered adaptive control algorithms based on the backstepping technique. However, the results in [4]- [8] are only applicable for single nonlinear systems, albeit there exist a large of engineering systems that are literally networked.…”
Section: Introductionmentioning
confidence: 99%
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