Robust passivity analysis of uncertain neutral-type neural networks with distributed interval time-varying delay under the effects of leakage delay
Volume 26, Issue 3, pp 269--290
http://dx.doi.org/10.22436/jmcs.026.03.06
Publication Date: December 01, 2021
Submission Date: September 05, 2021
Revision Date: October 11, 2021
Accteptance Date: November 05, 2021
Authors
P. Singkibud
- Department of Applied Mathematics and Statistics, Faculty of Science and Liberal Arts, Rajamangala University of Technology Isan, Nakhon Ratchasima 30000, Thailand.
K. Mukdasai
- Department of Mathematics, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand.
Abstract
This paper deals with the problem of delay-range-dependent robust passivity analysis of uncertain neutral-type neural networks with distributed interval time-varying delay under the effects of leakage delay. The uncertainties under consideration are norm-bounded uncertainties and the restriction on the derivative of the discrete and distributed interval time-varying delays is removed, which means that a fast interval time-varying delay is allowed. By applying a novel Lyapunov-Krasovskii functional approach, improved integral inequalities, Leibniz-Newton formula and utilization of zero equation, then a new delay-range-dependent passivity criterion of neutral-type neural networks with distributed interval time-varying delay under the effects of leakage delay is established in terms of linear matrix inequalities (LMIs). Furthermore, some less conservative delay-dependent passivity criteria are obtained. Moreover, we derived a robust passivity criterion for uncertain neutral-type neural networks with distributed interval time-varying delay under the effects of leakage delay. Besides, a less conservative delay-dependent robust passivity criterion is obtained. Finally, five numerical examples are given to show the effectiveness and less conservativeness of the proposed methods.
Share and Cite
ISRP Style
P. Singkibud, K. Mukdasai, Robust passivity analysis of uncertain neutral-type neural networks with distributed interval time-varying delay under the effects of leakage delay, Journal of Mathematics and Computer Science, 26 (2022), no. 3, 269--290
AMA Style
Singkibud P., Mukdasai K., Robust passivity analysis of uncertain neutral-type neural networks with distributed interval time-varying delay under the effects of leakage delay. J Math Comput SCI-JM. (2022); 26(3):269--290
Chicago/Turabian Style
Singkibud, P., Mukdasai, K.. "Robust passivity analysis of uncertain neutral-type neural networks with distributed interval time-varying delay under the effects of leakage delay." Journal of Mathematics and Computer Science, 26, no. 3 (2022): 269--290
Keywords
- Neutral type
- neural network
- leakage delay
- Lyapunov-Krasovskii functional
- linear matrix inequality
- delay-range-dependent passivity
MSC
References
-
[1]
P. Agarwal, R. P. Agarwal, M. Ruzhansky, Special Functions and Analysis of Differential Equations, Chapman and Hall/CRC, New York (2020)
-
[2]
P. Agarwal, S. S. Dragomir, M. Jleli, B. Samet, Advances in Mathematical Inequalities and Applications, Birkhauser/Springer, Singapore (2018)
-
[3]
S. Arik, New Criteria for Stability of Neutral-Type Neural Networks With Multiple Time Delays, IEEE Trans. Neural Netw. Learn. Syst., 31 (2020), 1504--1513
-
[4]
P. Balasubramaniam, G. Nagamani, R. Rakkiyappan, Passivity analysis for neural networks of neutral-type with Markovian jumping parameters and time delay in the leakage term, Commun. Nonlinear Sci. Numer. Simult., 16 (2021), 4422--4437
-
[5]
G. Bao, S. Wen, Z. Zeng, Robust stability analysis of interval fuzzy Cohen-Grossberg neural networks with piecewise constant argument of generalized type, Neural Networks, 33 (2022), 32--41
-
[6]
N. Boonsatit, G. Rajchakit, R. Sriraman, C. P. Lim, P. Agarwal, Finite-/fixed-time synchronization of delayed Clifford-valued recurrent neural networks, Adv. Difference Equ., 2021 (2021), 25 pages
-
[7]
T. Botmart, S. Noun, K. Mukdasai, W. Weera, N. Yotha, Robust passivity analysis of mixed delayed neural networks with interval nondiferentiable time-varying delay based on multiple integral approach, AIMS Math., 10 (2021), 2778--2795
-
[8]
R. K. Brayton, Bifurcation of periodic solutions in a nonlinear difference-differential equation of neutral type, Quart. Appl. Math., 24 (1996), 215--224
-
[9]
J. D. Cao, D. W. C. Ho, General framework for global asymptotic stability analysis of delayed neural networks based on LMI approach, Chaos Solitons Fractals, 24 (2005), 1317--1329
-
[10]
Y. H. Chen, S. C. Fang, Neurocomputing with time delay analysis for solving convex quadratic programming problems, IEEE Trans. Neural Networks, 11 (2000), 230--240
-
[11]
C. J. Cheng, T. L. Liao, J. J. Yan, C. Hwang, Globally Asymptotic Stability of a Class of Neutral-Type Neural Networks With Delays, IEEE Trans. Systems Man Cybernet. Part B, 36 (2006), 1191--1195
-
[12]
L. O. Chua, Passivity and complexity, IEEE Trans. Circuits Syst. I. Fundam. Theory Appl., 46 (1999), 71--82
-
[13]
L. O. Chua, L. Yang, Cellular neural networks: applications, IEEE Trans. Circuits and Systems, 35 (1988), 1273--1290
-
[14]
M. Cohen, S. Grossberg, Absolute stability of global pattern formation and parallel memory storage by competitive neural networks, IEEE Trans. Systems Man Cybernet., 13 (1983), 815--826
-
[15]
J. Feng, S. Xu, Y. Zou, Delay-dependent stability of neutral type neural networks with distributed delays, Neurocomput., 72 (2009), 2576--2580
-
[16]
K. Gu, An integral inequality in the stability problem of time delay system, Proc. 39th IEEE Conf. Decis. Control, 3 (2000), 2805--2810
-
[17]
K. Gu, V. L. Kharitonov, J. Chen, Stability of Time-Delay Systems, Birkhauser, Boston (2003)
-
[18]
M. M. Gupta, L. Jin, N. Homma, Static and dynamic Neural Networks From Fundamentals to Advanced Theory, John Wiley & Sons, New Jersey (2004)
-
[19]
G. He, Z. Cao, P. Zhu, H. Ogura, Controlling chaos in a neural network, Neural Networks, 16 (2000), 1195--1200
-
[20]
D. Hill, P. Moylan, The stability of nonlinear dissipative systems, IEEE Trans. Automatic Control AC-21, 21 (1976), 708--711
-
[21]
B. X. Hu, Q. K. Song, Z. J. Zhao, Robust state estimation for fractional-order complex-valued delayed neural networks with interval parameter uncertainties: LMI approach, Appl. Math. Comput., 373 (2020), 12 pages
-
[22]
A. Klamnoi, N. Yotha, W. Weera, T. Botmart, Improved results on passivity analysis of neutral-type neural networks with time-varying delays, J. Res. Appl. Mech. Eng., 6 (2018), 71--81
-
[23]
Y. Kuang, Delay Differential Equations with applications in population dynamics, Academic Press, San Diego (1993)
-
[24]
O. M. Kwon, M. J. Park, J. H. Park, S. M. Lee, E. J. Cha, Analysis on robust $H_{\infty}$ performance and stability for linear systems with interval time-varying state delays via some new augmented Lyapunov-Krasovskii functional, Appl. Math. Comput., 224 (2013), 108--122
-
[25]
X. D. Li, J. D. Cao, Delay-dependent stability of neural networks of neutral type with time delays in the leakage term, Nonlinearity, 23 (2010), 1709--1726
-
[26]
T. Li, L. Guo, C. Lin, A new criterion of delay-dependent stability for uncertain time-delay systems, IET Control Theory Appl., 1 (2007), 611--616
-
[27]
C. Li, X. Liao, Passivity analysis of neural networks with time delay, IEEE Trans. Circuits Syst. II, 52 (2005), 471--475
-
[28]
X. Liao, Y. Liu, H. Wang, T. Huang, Exponential estimates and exponential stability for neutral type neural networks with multiple delays, Neurocomput., 149 (2015), 868--883
-
[29]
R. Lozano, B. Brogliato, O. Egeland, B. Maschke, Dissipative Systems Analysis and Control, Springer, New York (2000)
-
[30]
R. Manivannan, R. Samidurai, J. D. Cao, A. Alsaedi, F. E. Alsaadi, R. Manivannan, R. Samidurai, J. D. Cao, A. Alsaedi, F. E. Alsaadi, Adv. Difference Equ., 2018 (2018), 25 pages
-
[31]
R. Manivannan, R. Samidurai, Q. X. Zhu, Further improved results on stability and dissipativity analysis of static impulsive neural networks with interval time-varying delays, J. Franklin Inst., 354 (2017), 6312--6340
-
[32]
A. Michel, J. Farrell, F. Sun, Analysis and synthesis techniques for hopfield type synchronous discrete-time neural networks with applications to associative memory, IEEE Trans. Circuits Syst., 37 (1990), 1356--1366
-
[33]
S. I. Niculescu, Delay Effects on Stability: A Robust Control Approach, Springer Verlag, Berlin (2001)
-
[34]
G. Rajchakit, P. Agarwal, S. Ramalingam,, Stability Analysis of Neural Networks, Springer, Singapore (2021)
-
[35]
G. Rajchakit, R. Sriraman, N. Boonsatit, P. Hammachukiattikul, C. P. Lim, P. Agarwal, Global exponential stability of Clifford-valued neural networks with time-varying delays and impulsive effects, Adv. Difference Equ., 2021 (2021), 21 pages
-
[36]
G. Rajchakit, R. Sriraman, N. Boonsatit, P. Hammachukiattikul, C. P. Lim, P. Agarwal, Exponential stability in the Lagrange sense for Clifford-valued recurrent neural networks with time delays, Adv. Difference Equ., 2021 (2021), 21 pages
-
[37]
R. Rakkiyappan, P. Balasubramaniam, New global exponential stability results for neutral-type neural networks with distributed time delays, Neurocomput, 71 (2008), 1039--1045
-
[38]
T. Roska, L. Chua, Cellular neural networks with nonlinear and delay-type template, Int. J. Circuit Theory Appl., 20 (1992), 469---481
-
[39]
{M. Ruzhansky, Y. J. Cho, P. Agarwal, I. Area, Advances in Real and Complex Analysis with Applications, Birkhauser/Springer, Singapore (2017)
-
[40]
R. Samidurai, S. M. Anthoni, K. Balachandran, Global exponential stability of neutral-type impulsive neural networks with discrete and distributed delays, Nonlinear Anal. Hybrid Syst., 4 (2010), 103--112
-
[41]
R. Samidurai, S. Rajavel, Z. Quanxin, R. Raja, Z. Hongwei, Robust passivity analysis for neutral-type neural networks with mixed and leakage delays, Neurocomput., 175 (2016), 635--4653
-
[42]
P. Singkibud, P. Niamsup, K. Mukdasai, Improved results on delay-rage-dependent robust stability criteria of uncertain neutral systems with mixed interval time-varying delays, IAENG Int. J. Appl. Math., 47 (2017), 209--222
-
[43]
S. Thongsuwan, S. Jaiyen, A. Padcharoen, P. Agarwal, ConvXGB: A new deep learning model for classification problemsbased on CNN and XGBoost, Nucl. Eng. Technol., 53 (2020), 522--531
-
[44]
M. V. Thuan, H. Trinh, L. V. Hien, New inequality-based approach to passivity analysis of neural networks with interval time-varying delay, Neurocomput., 194 (2016), 301--307
-
[45]
D. L. Wang, Emergent synchrony in locally coupled neural oscillators, IEEE Trans. Neural Networks, 6 (1995), 941--948
-
[46]
B. Wang, H. Jahanshahi, C. Volos, S. Bekiros, M. A. Khan, P. Agarwal, A. A. Aly, A New RBF Neural Network-Based Fault-Tolerant Active Control for Fractional Time-Delayed Systems, Electronics, 2021 (2021), 17 pages
-
[47]
J. C. Willems, The Analysis of Feedback Systems, MIT Press, Cambridge (1971)
-
[48]
L. H. Xie, M. Y. Fu, H. Z. Li, Passivity analysis and passification for uncertain signal processing systems, IEEE Trans. Signal Process., 46 (1998), 2394--2403
-
[49]
S. Xu, W. X. Zheng, Y. Zou, Passivity analysis of neural networks with time-varying delays, IEEE Trans. Circuits Syst. II, 56 (2009), 325--329
-
[50]
K. Yasue, Quantization of dissipative dynamical system, Phys. Lett. B, 64 (1976), 239--241
-
[51]
C. D. Zeng, C. K. Gong, Z. Wang, New passivity conditions with fewer slack variable for uncertain neural networks with mixed delays, Neurocomput., 118 (2013), 237--244
-
[52]
H. B. Zeng, Y. He, M. Wu, S. P. Xiao, Passivity analysis for neural networks with time-varying delay, Neurocomput., 74 (2011), 730--734
-
[53]
Z. Zeng, J. Wang, Associative memories based on continuous-time cellular neural networks designed using space-invariant cloning templates, Neural Networks, 22 (2010), 651--657
-
[54]
Z. Y. Zhang, R. Guo, X. P. Liu, M. Y. Zhong, C. Lin, B. Chen, Fixed-time synchronization for complex-valued BAM neural networks with time delays, Asian J. Control, 23 (2021), 298--314
-
[55]
F. Zhang, Z. Li, Auxiliary function-based integral inequality approach to robust passivity analysis of neural networks with interval time-varying delay, Neurocomput., 306 (2018), 189--199
-
[56]
X. Zhang, X. Lin, Y. Wang, Robust fault detection filter design for a class of neutral-type neural networks with time-varying discrete and unbounded distributed delays, Optimal Control Appl. Methods, 34 (2013), 590--607
-
[57]
Z. Zhao, Q. Song, S. He, Passivity Analysis of stochastic neural networks with time-varying delays and leakage delay, Neurocomput., 125 (2014), 22--27