2018
DOI: 10.1016/j.apm.2017.07.035
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Finite-time dissipative control for singular discrete-time Markovian jump systems with actuator saturation and partly unknown transition rates

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Cited by 84 publications
(47 citation statements)
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“…Example This example deals with the problem of water quality in streams of some river. For this issue, a discretized water pollution model with multiple operating points is constructed . The model depicts, at time k , concentrations per unit volume of biological oxygen demand and dissolved oxygen, respectively.…”
Section: Numerical Examplesmentioning
confidence: 99%
See 1 more Smart Citation
“…Example This example deals with the problem of water quality in streams of some river. For this issue, a discretized water pollution model with multiple operating points is constructed . The model depicts, at time k , concentrations per unit volume of biological oxygen demand and dissolved oxygen, respectively.…”
Section: Numerical Examplesmentioning
confidence: 99%
“…For this issue, a discretized water pollution model with multiple operating points is constructed. 54 The model depicts, at time k, concentrations per unit volume of biological oxygen demand and dissolved oxygen, respectively. The difference of concentrations are denoted by the state vector x(k) .…”
Section: Numerical Examplesmentioning
confidence: 99%
“…Defining the augmented system variable as ( ) = [ ( ) ( )] and using conditions (10) and (11), we have…”
Section: State Reachable Set Estimationmentioning
confidence: 99%
“…When singular systems experience abrupt changes in their structures, it is natural to model them as singular Markovian jump systems [1,2]. The analysis and synthesis of such class of systems have gained considerable attention because of their importance in applications (see, e.g., the literature [3][4][5][6][7][8][9][10] and the references therein).…”
Section: Introductionmentioning
confidence: 99%
“…It is worth mentioning that, in stochastic dynamical systems control design, a controller must be sought to stabilize the system, and it is always required to ensure satisfactory some performances. H ∞ control, passive control, dissipative control, and guaranteed cost control emerge at a historic moment. In many cases, it is impossible or high cost to obtain the transition probability exactly.…”
Section: Introductionmentioning
confidence: 99%