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Relevant bibliographies by topics / Delay -dependant dissipativity criteria

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Academic literature on the topic 'Delay -dependant dissipativity criteria'

Author: Grafiati

Published: 17 July 2024

Last updated: 31 July 2025

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Journal articles on the topic "Delay -dependant dissipativity criteria"

1

Song, Qiankun, and Jinde Cao. "Global Dissipativity on Uncertain Discrete-Time Neural Networks with Time-Varying Delays." Discrete Dynamics in Nature and Society 2010 (2010): 1–19. http://dx.doi.org/10.1155/2010/810408.

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The problems on global dissipativity and global exponential dissipativity are investigated for uncertain discrete-time neural networks with time-varying delays and general activation functions. By constructing appropriate Lyapunov-Krasovskii functionals and employing linear matrix inequality technique, several new delay-dependent criteria for checking the global dissipativity and global exponential dissipativity of the addressed neural networks are established in linear matrix inequality (LMI), which can be checked numerically using the effective LMI toolbox in MATLAB. Illustrated examples are

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Hammachukiattikul, Porpattama. "Finite-time Stability, Dissipativity and Passivity Analysis of Discrete-time Neural Networks Time-varying Delays." Emerging Science Journal 3, no. 6 (2019): 361–68. http://dx.doi.org/10.28991/esj-2019-01198.

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The neural network time-varying delay was described as the dynamic properties of a neural cell, including neural functional and neural delay differential equations. The differential expression explains the derivative term of current and past state. The objective of this paper obtained the neural network time-varying delay. A delay-dependent condition is provided to ensure the considered discrete-time neural networks with time-varying delays to be finite-time stability, dissipativity, and passivity. This paper using a new Lyapunov-Krasovskii functional as well as the free-weighting matrix appro

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Chen, Guici, Jianzhong Zhou, and Yongchuan Zhang. "Dissipative Delay-Feedback Control for Nonlinear Stochastic Systems with Time-Varying Delay." Mathematical Problems in Engineering 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/249860.

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The dissipative delay-feedback control problems for nonlinear stochastic delay systems (NSDSs) based on dissipativity analysis are studied in this paper. Based on the Lyapunov stability theory and stochastic analysis technique, both delay-independent and delay-dependent dissipativity criteria are established as linear matrix inequalities- (LMIs-) based feasibility tests. The obtained results in this paper for the nominal systems include the available results onH∞approach and passivity for stochastic delay systems as special cases. The delay-dependent feedback controller is designed by consider

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4

Nagamani, G., Young Hoon Joo, and T. Radhika. "Delay-dependent dissipativity criteria for Markovian jump neural networks with random delays and incomplete transition probabilities." Nonlinear Dynamics 91, no. 4 (2018): 2503–22. http://dx.doi.org/10.1007/s11071-017-4028-6.

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Zhao, Zirui, and Wenjuan Lin. "Extended dissipative analysis for memristive neural networks with two-delay components via a generalized delay-product-type Lyapunov-Krasovskii functional." AIMS Mathematics 8, no. 12 (2023): 30777–89. http://dx.doi.org/10.3934/math.20231573.

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<abstract><p>In this study, we deal with the problem of extended dissipativity analysis for memristive neural networks (MNNs) with two-delay components. The goal is to get less conservative extended dissipativity criteria for delayed MNNs. An improved Lyapunov-Krasovskii functional (LKF) with some generalized delay-product-type terms is constructed based on the dynamic delay interval (DDI) method. Moreover, the derivative of the created LKF is estimated using the integral inequality technique, which includes the information of higher-order time-varying delay. Then, sufficient condi

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Gao, Xianwen, Lian Lian, and Wenhai Qi. "Finite-time dissipativity analysis and design for stochastic Markovian jump systems with generally uncertain transition rates and time-varying delay." Transactions of the Institute of Measurement and Control 39, no. 6 (2015): 807–19. http://dx.doi.org/10.1177/0142331215620465.

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The paper is concerned with finite-time dissipativity analysis and design for stochastic Markovian jump systems with generally uncertain transition rates and time-varying delay. By constructing a more appropriate Lyapunov–Krasovskii functional, sufficient conditions for finite-time dissipativity of the underlying system are first proposed. Then, a state feedback controller is designed such that the closed-loop Markovian jump system is finite-time dissipative. These sufficient criteria are derived in the form of linear matrix inequalities (LMIs). Finally, numerical examples are given to demonst

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7

DING, KE, and QING-LONG HAN. "EFFECTS OF COUPLING DELAYS ON SYNCHRONIZATION IN LUR'E COMPLEX DYNAMICAL NETWORKS." International Journal of Bifurcation and Chaos 20, no. 11 (2010): 3565–84. http://dx.doi.org/10.1142/s0218127410027908.

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This paper investigates the effects of coupling delays on synchronization in Lur'e complex dynamical networks. Every identical node in the network can be represented as a Lur'e system. Based on Lyapunov–Krasovskii functionals and Lur'e–Postnikov Lyapunov functionals, some delay-dependant synchronization criteria are derived by employing a delay decomposition approach. A Lur'e complex dynamical network with Chua's circuit nodes and one numerical example are given to illustrate the effectiveness of the synchronization criteria.

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Srinidhi, A., R. Raja, J. Alzabut, S. Vimal Kumar, and M. Niezabitowski. "Non-Fragile Observer-Based Dissipative Control of Active Suspensions for In-Wheel Drive EVs with Input Delays and Faults." Automation 6, no. 3 (2025): 28. https://doi.org/10.3390/automation6030028.

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This paper presents a non-fragile observer-based dissipative control strategy for the suspension systems of electric vehicles equipped with in-wheel motors, accounting for input delays, actuator faults, and observer gain uncertainty. Traditional control approaches—such as H∞, passive control, and robust feedback schemes, often address these challenges in isolation and with increased conservatism. In contrast, this work introduces a unified framework that integrates fault-tolerant control, delay compensation, and robust state estimation within a dissipativity-based setting. A novel dissipativit

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Manivannan, R., G. Mahendrakumar, R. Samidurai, Jinde Cao, and Ahmed Alsaedi. "Exponential stability and extended dissipativity criteria for generalized neural networks with interval time-varying delay signals." Journal of the Franklin Institute 354, no. 11 (2017): 4353–76. http://dx.doi.org/10.1016/j.jfranklin.2017.04.007.

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Lijiang, Xiang, Zhong Shouming, and Ding Yucai. "Globally Exponential Stability and Dissipativity Analysis of Static Neural Networks with Time Delay." International Journal of Engineering, Mathematical and Physical Sciences 6.0, no. 3 (2014). https://doi.org/10.5281/zenodo.1335950.

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The problems of globally exponential stability and dissipativity analysis for static neural networks (NNs) with time delay is investigated in this paper. Some delay-dependent stability criteria are established for static NNs with time delay using the delay partitioning technique. In terms of this criteria, the delay-dependent sufficient condition is given to guarantee the dissipativity of static NNs with time delay. All the given results in this paper are not only dependent upon the time delay but also upon the number of delay partitions. Two numerical examples are used to show the effect

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Dissertations / Theses on the topic "Delay -dependant dissipativity criteria"

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(9789563), Kathryn Creed. "Dissipative analysis and control for network-based systems." Thesis, 2013. https://figshare.com/articles/thesis/Dissipative_analysis_and_control_for_network-based_systems/26315173.

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<p dir="ltr">Network -based control systems are a kind of control systems that sensors, controllers and actuators are connected through communication networks. Recent years have witnessed the tremendous developments of network -based control systems since the use of communication networks in control systems enables a remote execution of control, correspondingly increases system flexibility and reduces installation and maintenance costs. However, the insertion of communication networks inevitably induces data transmission delays and packet dropouts, which usually have negative effects on the pe

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Conference papers on the topic "Delay -dependant dissipativity criteria"

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Yang, Huilan, Lan Shu, Shouming Zhong, and Xin Wang. "New extended dissipativity criteria for distributed delay cellular neural networks." In 2016 35th Chinese Control Conference (CCC). IEEE, 2016. http://dx.doi.org/10.1109/chicc.2016.7553892.

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