2015
DOI: 10.3390/e17010346
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Robust H∞ Finite-Time Control for Discrete Markovian Jump Systems with Disturbances of Probabilistic Distributions

Abstract: This paper is concerned with the robust H ∞ finite-time control for discrete delayed nonlinear systems with Markovian jumps and external disturbances. It is usually assumed that the disturbance affects the system states and outputs with the same influence degree of 100%, which is not evident enough to reflect the situation where the disturbance affects these two parts by different influence degrees. To tackle this problem, a probabilistic distribution denoted by binomial sequences is introduced to describe the… Show more

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Cited by 13 publications
(11 citation statements)
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“…Let > 0, 0 ≤ e 1 ≤ , e 2 ≥ 0,N ∈N 0 , and p (0) > 0 be known. The estimation error dynamics (19) is finite-time bounded and the fault estimation errorz (k) achieves the H ∞ performance index (22) with (e 1 , e 2 , , p (0), N) if there exist sequences of matrices { p (k) > 0} 1≤k≤N,p∈{1,2, … ,n } , {Π 1 (k) ≥ 0} 1≤k≤N , and {Π 2 (k) ≥ 0} 1≤k≤N such that inequality (24) and the following condition are simultaneously satisfied:…”
Section: Ftb and H ∞ Performances Analysesmentioning
confidence: 99%
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“…Let > 0, 0 ≤ e 1 ≤ , e 2 ≥ 0,N ∈N 0 , and p (0) > 0 be known. The estimation error dynamics (19) is finite-time bounded and the fault estimation errorz (k) achieves the H ∞ performance index (22) with (e 1 , e 2 , , p (0), N) if there exist sequences of matrices { p (k) > 0} 1≤k≤N,p∈{1,2, … ,n } , {Π 1 (k) ≥ 0} 1≤k≤N , and {Π 2 (k) ≥ 0} 1≤k≤N such that inequality (24) and the following condition are simultaneously satisfied:…”
Section: Ftb and H ∞ Performances Analysesmentioning
confidence: 99%
“…Let > 0, 0 ≤ e 1 ≤ , e 2 ≥ 0,N ∈N 0 , and p (0) > 0 be known. The estimation error dynamics (19) is finite-time bounded and the fault estimation errorz (k) meets the H ∞ performance index (22) with (e 1 , e 2 , ,…”
Section: H ∞ Finite-time Bounded Fault Estimators Designmentioning
confidence: 99%
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“…In [22], multi-zone buildings were identified by an artificial neural network and controlled by predictive control techniques. The robust H  finite-time control method for a discrete system was discussed in [23]. Compared with the abovementioned methods, nonlinear predictive control theory is easier to apply in practice, and can be combined with traditional methods, which takes advantages of both traditional methods and predictive control as shown later in this paper.…”
Section: Introductionmentioning
confidence: 99%