2021
DOI: 10.3390/electronics10091075
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Integral Sliding Mode Anti-Disturbance Control for Markovian Jump Systems with Mismatched Disturbances

Abstract: This paper addresses an integral sliding mode-based anti-disturbance control algorithm for a type of Markovian jump systems (MJSs), which are influenced by different types of mismatched disturbances. On one hand, as for those disturbances that can be modeled, the disturbance observer (DO) method is introduced to realize the dynamical estimation of disturbances. Based on this, both the integral sliding surface (ISS) and the composite anti-disturbance controller are proposed in succession for rejecting unknown d… Show more

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Cited by 5 publications
(5 citation statements)
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“…43 In the past years, the progress has been made on integral-type SMC method for different complex dynamical systems comprising stochastic systems, descriptor systems, singularly perturbed systems, Markov jump systems, and several types of hybrid systems. [43][44][45] The system states are wholly invariable versus the matched disturbances. In fact, the global SMC causes the high robust performance whereas a complementary expression is augmented to the predetermined sliding surface.…”
Section: Background and Motivationmentioning
confidence: 99%
See 1 more Smart Citation
“…43 In the past years, the progress has been made on integral-type SMC method for different complex dynamical systems comprising stochastic systems, descriptor systems, singularly perturbed systems, Markov jump systems, and several types of hybrid systems. [43][44][45] The system states are wholly invariable versus the matched disturbances. In fact, the global SMC causes the high robust performance whereas a complementary expression is augmented to the predetermined sliding surface.…”
Section: Background and Motivationmentioning
confidence: 99%
“…The attractive property of integral‐type SMC is the obliteration of reaching phase required in conventional SMC methods and keeping of the system original order 43 . In the past years, the progress has been made on integral‐type SMC method for different complex dynamical systems comprising stochastic systems, descriptor systems, singularly perturbed systems, Markov jump systems, and several types of hybrid systems 43–45 …”
Section: Introductionmentioning
confidence: 99%
“…In addition, a new algorithm has been proposed that aims to achieve both link prediction and sign prediction in networks [19]. In location prediction, the Markovian [20] model has limitations. In the case of aircraft, there is also a method of predicting the position of aircraft through the aircraft trajectory [21] dictionary file data based on flight histories.…”
Section: Related Workmentioning
confidence: 99%
“…The attractive feature of integral‐type SMC is the omission of reaching phase required in conventional SMC techniques, and keeping of the system original order 47 . In the recent years, the progression has been made on integral‐type SMC approach for various complex dynamical systems consisting of singularly perturbed systems, descriptor systems, stochastic systems, Markov jump systems, and several types of hybrid systems 47–49 . However, this method has weaknesses in the face of severe external influences and uncertainties, which causes many problems such as high transient fluctuations and time delays.…”
Section: Introductionmentioning
confidence: 99%