2019
DOI: 10.1016/j.amc.2019.124597
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Disturbance-observer-based event-triggered control for semi-Markovian jump nonlinear systems

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Cited by 24 publications
(21 citation statements)
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“…The sliding model control, adaptive neural control and DOBC methods are applied in [16] to discuss a class of uncertain discrete-time systems. The event-triggered control problem of semi-Markovian jump nonlinear systems was discussed via using DOBC scheme in the works of [17]. In [18], the fixed-time attitude tracking control was investigated for the spacecraft industry with input quantization by fixed-time disturbance observer control method.…”
Section: Bymentioning
confidence: 99%
See 1 more Smart Citation
“…The sliding model control, adaptive neural control and DOBC methods are applied in [16] to discuss a class of uncertain discrete-time systems. The event-triggered control problem of semi-Markovian jump nonlinear systems was discussed via using DOBC scheme in the works of [17]. In [18], the fixed-time attitude tracking control was investigated for the spacecraft industry with input quantization by fixed-time disturbance observer control method.…”
Section: Bymentioning
confidence: 99%
“…Noting Lemma 1, the Lyapunov function V (t) and its the infinitesimal generator LV (t) satisfy the conditions (16) and (17), respectively. Therefore, the composite closed-loop system (40) is exponentially practically stable in mean square.…”
Section: Controller Designmentioning
confidence: 99%
“…The topic of the ETS-based sliding mode observer (SMO) to deal with the control problems has piqued the interest of the researchers, and a lot of significant results were addressed successively. 6,24–27 For a class of systems with repeated scalar nonlinearities, Liu et al 6 have studied the issue of SMO design via the event-triggered method. The H observer-based event-triggered SMC problem was investigated for the discrete-time networked systems with the Lipschitz nonlinearities and some uncertainties.…”
Section: Introductionmentioning
confidence: 99%
“…In [26], a nonlinear decomposition method of asymmetric hysteresis quantizer is proposed by using the fuzzy logic system to estimate random perturbation term and unknown nonlinear function, and the sector constraint property is used. In [27][28][29][30], the authors have investigated the quantized consensus problem of the general linear systems and nonlinear systems, respectively, with the couple of ETC fashion. To the best knowledge of the authors, most studies have focused on the analysis and design of uniform quantification combined with ETC strategy to solve the formation control problem of MASs, and few results are devoted to concentrate on the co-design structure between nonuniform quantification and ETC scheme compared with the former counterpart, especially few for the datum problem of circle formation.…”
Section: Introductionmentioning
confidence: 99%