2016
DOI: 10.1016/j.ins.2015.11.035
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Stochastic finite-time boundedness on switching dynamics Markovian jump linear systems with saturated and stochastic nonlinearities

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Cited by 23 publications
(7 citation statements)
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“…Many actual applications inevitably result in the sensor saturations which have the nonlinear characteristic of sensors. This characteristic can severely restrict system performance or, even worse, lead to undesirable oscillatory behaviors [37]. Recently, the design of reliable controller and estimator against sensor saturations for various systems has received increasing attention [37][38][39].…”
Section: Problem Statementmentioning
confidence: 99%
See 1 more Smart Citation
“…Many actual applications inevitably result in the sensor saturations which have the nonlinear characteristic of sensors. This characteristic can severely restrict system performance or, even worse, lead to undesirable oscillatory behaviors [37]. Recently, the design of reliable controller and estimator against sensor saturations for various systems has received increasing attention [37][38][39].…”
Section: Problem Statementmentioning
confidence: 99%
“…This characteristic can severely restrict system performance or, even worse, lead to undesirable oscillatory behaviors [37]. Recently, the design of reliable controller and estimator against sensor saturations for various systems has received increasing attention [37][38][39]. Note that all the above works are based on a common assumption that the sensor saturation occurs persistently.…”
Section: Problem Statementmentioning
confidence: 99%
“…Note that SSs are composed of a finite number of models and there exist rules that orchestrate switching sequences to decide which model should be activated. A few kinds of switching rules (SRs) are reported in the existing literature [1][2][3][4][5] : time-dependent SRs, state-dependent ones, average dwell time (ADT) ones, and Markovian jump ones. Nowadays, many valuable results about SSs with Markovian jump SRs have been reported in the literature, [6][7][8][9][10][11] and it is very important to obtain the transition probabilities (TPs).…”
Section: Introductionmentioning
confidence: 99%
“…The finite‐time boundedness concept is more flexible than contractive invariance and invariance, that is, the state is allowed to exceed the invariant set but not exceed a larger given performance level. The system state being contractive invariant and invariant can be recovered as particular cases depicted by the condition of finite‐time boundedness . Most recently, Yan et al and Sathishkumar et al discussed the issues of finite‐time stability and finite‐time stabilization for stochastic Markov jump systems, where both state‐feedback and observer‐based controller design algorithms are developed to achieve the required results.…”
Section: Introductionmentioning
confidence: 99%