Stochastic finite-time state estimation for discrete time-delay neural networks with Markovian jumps

Shi, Peng; Zhang, Yingqi; Agarwal, Ramesh K.

doi:10.1016/j.neucom.2014.09.059

Cited by 161 publications

(44 citation statements)

References 31 publications

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“…By using similar methods given in Theorems 3 and 6, condition (65) is obtained easily from inequality (59) with representation (23). This completes the proof.…”

Section: ( ) = ( ( ) − ( ) ( )) ( ) − (1 − ) ( ) ⋅ ( ) ( − ) + ( ) ( mentioning

confidence: 58%

“…By applying the Schur complement lemma and considering representation (23), it is known that condition (38) is equivalent to condition (20). As for condition (39), by pre-and postmultiplying both its sides with diag{ , } and applying inequality (45), one could easily get condition (21) with representation (23) implying condition (39).…”

Section: Resultsmentioning

confidence: 99%

“…Because of two kinds of mechanisms contained, it is very suitable to model such actual systems whose structures or parameters change [1,2]. Over the past years, many research topics on MJSs have been extensively studied, like stability analysis [3][4][5][6], stabilization [7][8][9][10][11], robust control [12][13][14][15], adaptive control [16][17][18][19], ∞ filtering and control [20,21], state estimation [22][23][24][25], synchronization [26][27][28][29][30], and so on.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Observer Design for Delayed Markovian Jump Systems with Output State Saturation

Wang

Feng

2018

Mathematical Problems in Engineering

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This paper considers the observer design problem of continuous-time delayed Markovian jump systems with output state saturation. Different from the traditionally observer-based saturation control methods, a kind of system output state saturation with a partially delay-dependent property is proposed, where both nondelay and delay states exist at the same time but happen asynchronously. By exploiting the Bernoulli variable, the probability distributions of such two states are described and considered in the observer design. Based on an improved equality applied to deal with saturation terms, sufficient conditions for the designed observer with three kinds of output saturations are all provided with LMI forms. Finally, a numerical example is given to indicate the effectiveness of the obtained results.

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“…By using similar methods given in Theorems 3 and 6, condition (65) is obtained easily from inequality (59) with representation (23). This completes the proof.…”

Section: ( ) = ( ( ) − ( ) ( )) ( ) − (1 − ) ( ) ⋅ ( ) ( − ) + ( ) ( mentioning

confidence: 58%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Observer Design for Delayed Markovian Jump Systems with Output State Saturation

Wang

Feng

2018

Mathematical Problems in Engineering

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“…The first concept is to maintain system states within a given boundary in a specified time interval [22,23], while the latter describes the fact that system state reaches the equilibrium point of system in a finite time [24].…”

Section: Remarkmentioning

confidence: 99%

Robust Finite-Time H-Infinity Control with Transients for Dynamic Positioning Ship Subject to Input Delay

Lin

Liang

et al. 2018

Mathematical Problems in Engineering

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This paper presents the problem of robust finite-time ∞ control with transients for ocean surface vessels equipped with dynamic positioning (DP) system in presence of input delay. The main objective of this work is to design a finite-time ∞ state feedback controller, which ensures that all states of ship do not exceed a given threshold over a fixed time interval, with better robustness and transient performance subject to time-varying disturbance. Based on a novel augmented Lyapunov-Krasovskii-like function (LKLF) with triple integral terms and a method combining the Wirtinger inequality and reciprocally convex approach, a less conservative result is derived. In particular, an ∞ performance index with nonzero initial condition is introduced to attenuate the overconservatism caused by the assumption of zero initial condition and enhance the transient performance of ship subject to external disturbance. More precisely, the controller gain matrix for the DP system can be achieved by solving the linear matrix inequalities (LMIs), which can be easily facilitated by using some standard numerical packages. Finally, a numerical simulation for a ship is proposed to verify the effectiveness and less conservatism of the controller we designed.

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“…Bu teknolojinin amacı beyindeki sinir hücresini taklit etmek ve bu yapıyı karmaĢık problemlerin çözümü için bilgisayar sistemlerine uygulanmaktır [25]. Bu özelliğinden dolayı Yapay Sinir Ağları durum tahmin problemlerindeki potansiyel uygulamaların öncüsü olmuĢ ve son zamanlarda oldukça dikkat çekmiĢtir [26][27][28][29]. Çok katmanlı Yapay Sinir Ağları en basit anlamda girdi katmanı, gizli katmanlar ve çıktı katmanı olarak adlandırılan üç ana bölümden oluĢmaktadır.…”

Section: Yapay Sinir Ağları (Artificial Neural Network)unclassified

Fotovoltaik Hücrenin Verimliliğinin Yapay Sinir Ağı İle Tahmini

Özkişi¹,

Topaloğlu²

2017

Bilişim Teknolojileri Dergisi

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Özet-Teknolojinin hızla geliĢmesi insan hayatındaki günlük elektronik eĢya kullanımını arttırmıĢtır. Bu durum dünya üzerindeki enerji tüketiminde önemli bir artıĢa sebep olmuĢtur. Enerji tüketiminin artması enerji sorununu ortaya çıkarmıĢ ve bu sorunu aĢmak için farklı enerji kaynaklarına yönelimler baĢlamıĢtır. Fosil yakıtların çevreye zarar vermesi ve tükenebilir olması alternatif enerji kaynaklarına yönelime yol açmıĢtır. Bu sorunu ortadan kaldırmak için güneĢ enerjisinin elektrik enerjisine çevirme fikri ortaya atılmıĢtır. Bu fikirden yola çıkılarak birçok uygulama hayata geçirilmiĢ ve bu uygulamalar hayatımızda yaygın bir hal almıĢtır. Fotovoltaik hücre ile yapılan bu uygulamaların gerilim elde etme açısından verimli olması oldukça önemli bir konu olarak karĢımıza çıkmaktadır. Bu çalıĢmanın amacı, fotovoltaik hücrenin verimliliğini çevresel etkiler göz önünde bulundurarak Yapay Sinir Ağı teknolojisi ile tahmin etmektir. Bu tahmin için fotovoltaik hücrenim gerilim değerine karĢılık rüzgâr hızı, sıcaklık, nem ve hücrenin açısı gibi çevresel faktörler dikkate alınmıĢtır. Veriler her bir faktör ve gerilim değerleri için ölçüm yapan bir düzenek ile belli bir zaman aralığı boyunca kayıt altına alınmıĢtır. Yapılan ölçümler sonucu elde edilmiĢ olan veriler ile panelin verimliliğini ortaya koyan bir Yapay Sinir Ağı modellenmiĢtir. Bu model fotovoltaik hücrenin verimlilik değerini yüzdelik olarak iyi bir Ģekilde tahmin etmektedir. Ayrıca ağın eğitim ve test iĢlemlerindeki performans ölçütlerinin oldukça iyi olduğu görülmektedir. Bu durum verimlilik tahmini için modellenmiĢ olan ağın tahmin yeteneğinin yüksek olduğunu göstermektedir.Anahtar Kelimeler -Yapay Sinir Ağı, Fotovoltaik Hücre, Verimlilik, Çevresel Faktörler. The Estimation of the Photovoltaic Cell Productivity with the Use of Artificial Neural NetworkAbstract-The use of electronic devices has been greatly increased with the rapid developments in technology, which resulted in a huge increase in energy consumption in the world. As a result of increasing energy consumption, and because fossil fuels are both limited and harmful to the environment, a search for alternative energy resources has begun. The idea to convert Photovoltaic power into electricity was proposed as a solution, and several practices were implemented to serve that purpose. Most of these practices have already become common in daily life, and consequently, the productivity of the practices using Photovoltaic cells to create voltage has gained utmost importance. The aim of this study is to estimate the productivity level of Photovoltaic cells with the use of Artificial Neural Network technology in consideration with the environmental impacts. For this purpose, environmental factors, such as wind velocity, temperature, humidity and the angle of the cells were compared to the voltage rating of Photovoltaic cells to obtain data. The data were recorded at intervals with the use of a device measuring each factor and the voltage rating. According to the results of the measurements, an Artificial Neur...

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Stochastic finite-time state estimation for discrete time-delay neural networks with Markovian jumps

Cited by 161 publications

References 31 publications

Observer Design for Delayed Markovian Jump Systems with Output State Saturation

Observer Design for Delayed Markovian Jump Systems with Output State Saturation

Robust Finite-Time H-Infinity Control with Transients for Dynamic Positioning Ship Subject to Input Delay

Fotovoltaik Hücrenin Verimliliğinin Yapay Sinir Ağı İle Tahmini

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