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Non-fragile state estimation for discrete Markovian jumping neural networks

Nan Hou, Hongli Dong, Zidong Wang, Weijian Ren, Fuad E. Alsaadi
2016 Neurocomputing  
In this paper, the non-fragile state estimation problem is investigated for a class of discrete-time neural networks subject to Markovian jumping parameters and time delays.  ...  We aim to design a non-fragile state estimator such that, in the presence of all admissible gain variations, the estimation error converges to zero asymptotically.  ...  In this paper, we deal with the non-fragile state estimation problem for a class of discrete-time neural networks with Markovian jumping parameters and time-delays.  ... 
doi:10.1016/j.neucom.2015.11.089 fatcat:svdlpbspunc4zjwvspyrfadkhm

A new approach to non-fragile state estimation for continuous neural networks with time-delays

Fan Yang, Hongli Dong, Zidong Wang, Weijian Ren, Fuad E. Alsaadi
2016 Neurocomputing  
In this paper, the non-fragile state estimation problem is investigated for a class of continuous neural networks with time-delays and nonlinear perturbations.  ...  The main purpose of the addressed problem is to design a non-fragile state estimator for the recurrent delayed neural networks such that the dynamics of the estimation error converges to the equilibrium  ...  In particular, a state estimator has been designed in [27] for discrete-time neural networks with Markovian jumping parameters and time-varying delays.  ... 
doi:10.1016/j.neucom.2016.02.062 fatcat:ffyq4rhgnnbo5mkd5us4kiys34

2009 Index IEEE Transactions on Automatic Control Vol. 54

2009 IEEE Transactions on Automatic Control  
G., +, TAC Jan. 2009 34-47 Information Filtering and Array Algorithms for Discrete-Time Markovian Jump Linear Systems. Terra, M.  ...  ., +, TAC Aug. 2009 1945-1951 Information Filtering and Array Algorithms for Discrete-Time Markovian Jump Linear Systems. Terra, M.  ...  State Convergence of Passive Nonlinear Systems With an L Input.  ... 
doi:10.1109/tac.2009.2037798 fatcat:4ilhkzss6jc63ersjzi47hiwgu

Event-triggered stochastic synchronization in finite time for delayed semi-Markovian jump neural networks with discontinuous activations

Min Liu, Huaiqin Wu, Wei Zhao
2020 Computational and Applied Mathemathics  
Keywords Discontinuous neural networks • Semi-Markovian switching • Event-triggered non-fragile control scheme • Stochastic synchronization in finite time • Mixed time-varying delays • Noise disturbance  ...  In this paper, the global stochastic synchronization in finite time is discussed for discontinuous semi-Markovian switching neural networks with mixed time-varying delays under stochastic disturbance based  ...  Acknowledgements The authors would like to thank the associate editors and the reviewers for their insightful and constructive comments, which helped to enrich the content and improve the presentation  ... 
doi:10.1007/s40314-020-01146-2 fatcat:l24grfl7ozekdeu5hasnryf54e

Non-fragile asynchronous state estimation for Markovian switching CVNs with partly accessible mode detection: The discrete-time case

Qiang Li, Jinling Liang
2022 Applied Mathematics and Computation  
This article is devoted to the non-fragile asynchronous state estimation problem for Markovian switching complex-valued networks subject to randomly occurring nonlinearities (RONs) and external stochastic  ...  Considering the case that the information concerning to the system modes cannot be completely acquired by the state estimator to be designed, the asynchronous phenomenon is considered via a hidden Markov  ...  The main novelties of this article can be highlighted as follows. (1) This is our first few attempts to investigate the non-fragile state estimation problem for Markovian switching networks in discrete  ... 
doi:10.1016/j.amc.2021.126583 fatcat:jxvrrbrbtzcttetube3yymcfxy

Sliding-mode H ∞ ${H_{\infty}}$ synchronization for complex dynamical network systems with Markovian jump parameters and time-varying delays

Nannan Ma, Zhibin Liu, Lin Chen
2019 Advances in Difference Equations  
This paper is devoted to the investigation of the sliding-mode controller design problem for a class of complex dynamical network systems with Markovian jump parameters and time-varying delays.  ...  In [38] , this paper is concerned with non-fragile sliding-mode control of discrete singular systems with external disturbance.  ...  A great deal of literature has been published to study the Markovian jump complex networks systems; see [11, 14, 15, 19, 23, 28] for instance.  ... 
doi:10.1186/s13662-019-1987-6 fatcat:4v55ohkz3rcutlhxt2k3q65tjm

Neural mechanisms underlying the temporal organization of naturalistic animal behavior [article]

Luca Mazzucato
2022 arXiv   pre-print
We crystallize recent studies which converge on an emergent mechanistic theory of temporal variability based on attractor neural networks and metastable dynamics, arising from the coordinated interactions  ...  between mesoscopic neural circuits.  ...  I would like to acknowledge the reviewers for providing critical feedback and suggestions.  ... 
arXiv:2203.02151v1 fatcat:m3cnresdcndz7hhr2qizhrmxlu

Extended dissipativity and non-fragile synchronization for Recurrent neural networks with multiple time-varying delays via sampled-data control

R. Anbuvithya, S. Dheepika Sri, R. Vadivel, Nallappan Gunasekaran, P. Hammachukiattikul
2021 IEEE Access  
Vadivel and Porpattama Hammachukiattikul was supported by the Phuket ABSTRACT This paper deals with the extended dissipativity and non-fragile synchronization of delayed recurrent neural networks (RNNs  ...  A non-fragile sampled-data approach is applied to investigate the problem of neural networks with multiple time-varying delays, which ensures that the master system synchronizes with the slave system and  ...  Finally, non-fragile technique along with the sampled-data controller has been used to synchronize delayed neural networks.  ... 
doi:10.1109/access.2021.3060044 fatcat:b4tvzdvctjbn7gjg5yt62ptepa

Optimized state feedback regulation of 3DOF helicopter system via extremum seeking

Rini Akmeliawati, Safanah M. Raafat
2013 2013 9th Asian Control Conference (ASCC)  
Controller for Active Control of Non-Linear Hysteretic Base-Isolation building State Estimation in Discrete-Time Nonlinear Stochastic Systems Subject to Random Data Loss S.M.  ...  ; Haroldo Ibarra 388 Stochastic Stability Conditions for A Class of Neutral Markovian Jump Systems Xinghua Liu*; Hongsheng Xi 389 LMI Based Model Order Reduction Considering the Minimum Phase  ... 
doi:10.1109/ascc.2013.6606363 dblp:conf/ascc/AkmeliawatiR13 fatcat:l7enyvdgurhpdl6yetwsst3u7y

Synchronization for complex dynamical networks with mixed mode-dependent time delays

Yuechao Ma, Nannan Ma
2016 Advances in Difference Equations  
In this paper, the problem of synchronization control is investigated for complex dynamical networks with discrete intervals and distributed time-varying delays.  ...  The main thing is to design a properly pinning controller, for which the error system of complex dynamical networks is asymptotically stable.  ...  The authors would like to thank the editor and anonymous reviewers for their many helpful comments and suggestions, improving the quality of this paper.  ... 
doi:10.1186/s13662-016-0942-z fatcat:5w3kid5kiva2bhgktg4353ahsa

Non-fragile mixed H and passivity control for neural networks with successive time-varying delay components

Sathasivam Rajavel, Rajendran Samidurai, Sebastiyan Anthuvan Jerome Kilbert, Jinde Cao, Ahmed Alsaedi
2018 Nonlinear Analysis: Modelling and Control  
This paper is concerned with the problem of nonfragile mixed H∞ and passivity control for neural networks with successive time-varying delay components.  ...  The expressions for the nonfragile controller can be obtained by solving a set of linear matrix inequality.  ...  The authors of this paper would like to express their sincere appreciation to the anonymous referees for their valuable comments and suggestions, which have led to an improvement in the presentation of  ... 
doi:10.15388/na.2018.2.2 fatcat:3wjgaosaivakhdvcb33zanhpne

An Empirical Analysis of the Ross Recovery Theorem

Francesco Audrino, Robert Huitema, Markus Ludwig
2014 Social Science Research Network  
state variable.  ...  Charles Bukowski Recently, Ross (2013) has shown that the market's risk aversion, in the form of a transition independent pricing kernel, can be recovered from the risk-neutral transition matrix of a Markovian  ...  Figure 1 1 illustrates the quality of our Markov chains by contrasting the initial neural network estimates to the one-, two-, and four-step ahead approximations, both in state price and implied volatility  ... 
doi:10.2139/ssrn.2433170 fatcat:y76o44telzad3kywvqedp7etvm

2020 Index IEEE Transactions on Circuits and Systems II: Express Briefs Vol. 67

2020 IEEE Transactions on Circuits and Systems - II - Express Briefs  
Inverter Welding Power Source; TCSII April 2020 720-724 Jacobsson, S., see Castaneda, O., TCSII May 2020 891-895 Jafari, E., and Binazadeh, T., Robust Output Regulation in Discrete-Time Singular Systems  ...  ., A Novel Dynamic Detection for Flash Memory; 600-604 Issakov, V., see Aguilar, E., TCSII May 2020 906-910 Iu, H.H., see Lai, Q., 1129-1133 Iu, H.H., see Xu, G., TCSII Dec. 2020 3452-3456 Iu, H.H.C  ...  ., +, TCSII Nov. 2020 2647-2651 Robust Hybrid Control Design for Stochastic Markovian Jump System via Fault Alarm Approach.  ... 
doi:10.1109/tcsii.2020.3047305 fatcat:ifjzekeyczfrbp5b7wrzandm7e

A survey on distributed filtering, estimation and fusion for nonlinear systems with communication constraints: new advances and prospects

Zhibin Hu, Jun Hu, Guang Yang
2020 Systems Science & Control Engineering  
Finally, conclusion is given and several possible research topics on distributed filtering, estimation and fusion for nonlinear networked systems are pointed out. ARTICLE HISTORY  ...  In this paper, some recent results on the distributed filtering, estimation and fusion algorithms for nonlinear systems with communication constraints are reviewed.  ...  The problem of the distributed H ∞ filtering has been investigated in Dong et al. (2012a) for a class of discrete-time Markovian jump nonlinear systems with time delays and randomly occurring incomplete  ... 
doi:10.1080/21642583.2020.1737846 fatcat:e7nmy2fzkbekvg43pmd63kwqk4

Power laws and self-organized criticality in theory and nature

Dimitrije Marković, Claudius Gros
2014 Physics reports  
The third line of models proposes a non-critical self-organizing state, being guided by an optimization principle, such as the concept of highly optimized tolerance.  ...  The second line of models is based on external drives and internal dynamics competing on similar time scales and includes the coherent noise model, which has a non-critical steady state characterized by  ...  Acknowledgments The authors thank, in no particular order: Alain Destexhe, Nima Dehghani, Didier Sornette, Viola Priesemann, Juan Antonio Bonachela Fajardo and Dietmar Plenz, for helpful discussions, comments  ... 
doi:10.1016/j.physrep.2013.11.002 fatcat:jw4m7mcownffhiauop2ae6jjn4
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