Mixed ℋ -Infinity and Passive Synchronization of Markovian Jumping Neutral-Type Complex Dynamical Networks with Randomly Occurring Distributed Coupling Time-Varying Delays and Actuator Faults

Author:

Boonsatit N.1ORCID,Sugumar R.2,Ajay D.3ORCID,Rajchakit G.4ORCID,Lim C. P.5,Hammachukiattikul P.6ORCID,Usha M.7,Agarwal P.8

Affiliation:

1. Department of Mathematics, Rajamangala University of Technology Suvarnabhumi, Nonthaburi 11000, Thailand

2. PG and Research Department of Mathematics, C. Abdul Hakeem College (Autonomous), Melvisharam 632509, TamilNadu, India

3. PG and Research Department of Mathematics, Sacred Heart College (Autonomous), Tirupattur 635601, TamilNadu, India

4. Department of Mathematics, Maejo University, Chiang Mai 50290, Thailand

5. Institute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, Victoria 3216, Australia

6. Department of Mathematics, Phuket Rajabhat University, Phuket 83000, Thailand

7. Department of Mathematics, Thiruvalluvar University, Serkkadu, Vellore 632115, TamilNadu, India

8. Department of Mathematics, India International Center for Basic and Applied Sciences, Anand International College of Engineering, Jaipur 302029, India

Abstract

This article examines mixed -infinity and passivity synchronization of Markovian jumping neutral-type complex dynamical network (MJNTCDN) models with randomly occurring coupling delays and actuator faults. The randomly occurring coupling delays are considered to design the complex dynamical networks in practice. These delays complied with certain Bernoulli distributed white noise sequences. The relevant data including limits of actuator faults, bounds of the nonlinear terms, and external disturbances are available for designing the controller structure. Novel Lyapunov–Krasovskii functional (LKF) is constructed to verify the stability of the error model and performance level. Jensen’s inequality and a new integral inequality are applied to derive the outcomes. Sufficient conditions for the synchronization error system (SES) are given in terms of linear matrix inequalities (LMIs), which can be analyzed easily by utilizing general numerical programming. Numerical illustrations are given to exhibit the usefulness of the obtained results.

Funder

Rajamangala University of Technology Suvarnabhumi

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

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