2019
DOI: 10.1142/s0217984919504542
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Adaptive observation control for synchronization of coronary artery time-delay systems

Abstract: This paper investigates novel adaptive observation control for synchronization of uncertain chaotic coronary artery system (CCAS). Novel adaptive observers are developed to obtain the estimated system states of uncertain CCAS which has unknown parameters. By utilizing the adaptive observers and controller we proposed, the adaptation of unknown parameters has been achieved and the asymptotic stability of the synchronization error as well as the estimation errors are guaranteed. For the purpose of further reduci… Show more

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Cited by 5 publications
(5 citation statements)
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“…The simulations show that our synchronization strategy effectively synchronizes the convulsive coronary system with the healthy cardiovascular system under input delay and disturbance. In future work, the results and methods in this work are expected to use to other various systems in real-word application, for instant, H 1 control [6][7][8][9], mixed H 1 and passive performance index [10], adaptive control [11,12], fuzzy control [13], observer-based control [14,15] and state-feedback control [16], projective synchronization of chaotic systems [43] and stochastic differential equations [44]. Furthermore, input delay and state delay will be considered in different values to get more closer to reality.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The simulations show that our synchronization strategy effectively synchronizes the convulsive coronary system with the healthy cardiovascular system under input delay and disturbance. In future work, the results and methods in this work are expected to use to other various systems in real-word application, for instant, H 1 control [6][7][8][9], mixed H 1 and passive performance index [10], adaptive control [11,12], fuzzy control [13], observer-based control [14,15] and state-feedback control [16], projective synchronization of chaotic systems [43] and stochastic differential equations [44]. Furthermore, input delay and state delay will be considered in different values to get more closer to reality.…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, the integrity of the system is critical. Several effective methods are used to achieve the synchronization between the healthy CACS and diseased CACS such as H 1 control [6][7][8][9], mixed H 1 and passive performance index [10], adaptive control [11,12], fuzzy control [13], observerbased control [14,15] and state-feedback control [16]. Particularly, Zhang et al [6] studied problems of the synchronization CACS with input disturbances and input time-delay depending on H 1 control.…”
Section: Introductionmentioning
confidence: 99%
“…The above literature did not consider the influence of external disturbances. In this regard, there are works that consider the effect of drug-deficient substances as a disturbance in their study, such as Guo et al (2019b) and Guo et al (2019a). In the work by Guo et al, (2019a), H control was studied to ensure robust performance of CAS with unknown parameters and subject to perturbations.…”
Section: Related Work and Motivationsmentioning
confidence: 99%
“…Besides, the chaotic synchronization of CASs with the time-delay phenomenon has been a fruitful reaching topic and many past reports were made. It is including a finite-time control method with input delay in [2], an approach of H∞ synchronization in [18], an adaptive fuzzy control scheme in [19], the observer-based control schemes in [20,21], and the synchronized control scheme with input saturation in [22].…”
Section: Introductionmentioning
confidence: 99%