Stabilization of Stochastic Dynamical Systems of a Random Structure with Markov Switches and Poisson Perturbations

Article Automation & Control Systems

Event-triggered synchronization for stochastic delayed neural networks: Passivity and passification case

R. Vadivel et al.

Summary: This article investigates the event-triggered synchronization problem of stochastic neural networks under passivity and passification cases. It proposes an event-triggered approach to design synchronization for delayed stochastic neural networks, and suggests an event-triggered scheme between the sampler and communication network to decrease network trouble. A nonfragile event-triggered controller is intended to guarantee the finite-time stability of the subsequent closed-loop system.

ASIAN JOURNAL OF CONTROL (2023)

Add to Collection

Article Physics, Multidisciplinary

Robust H∞ synchronization of Markov jump stochastic uncertain neural networks with decentralized event-triggered mechanism

R. Vadivel et al.

CHINESE JOURNAL OF PHYSICS (2019)

Add to Collection

Article Mathematics

One Form of Lyapunov Operator for Stochastic Dynamic System with Markov Parameters

Taras Lukashiv

JOURNAL OF MATHEMATICS (2016)

Add to Collection

Article Engineering, Multidisciplinary

A new mathematical explanation of what triggered the catastrophic torsional mode of the Tacoma Narrows Bridge

Gianni Arioli et al.

APPLIED MATHEMATICAL MODELLING (2015)

Add to Collection

Article Computer Science, Cybernetics

STABILITY IN IMPULSIVE SYSTEMS WITH MARKOV PERTURBATIONS IN AVERAGING SCHEME. 2. AVERAGING PRINCIPLE FOR IMPULSIVE MARKOV SYSTEMS AND STABILITY ANALYSIS BASED ON AVERAGED EQUATIONS

Ye. F. Tsarkov et al.

CYBERNETICS AND SYSTEMS ANALYSIS (2011)

Add to Collection

Article Computer Science, Cybernetics

STABILITY IN IMPULSIVE SYSTEMS WITH MARKOV PERTURBATIONS IN AVERAGING SCHEME. I. AVERAGING PRINCIPLE FOR IMPULSIVE MARKOV SYSTEMS

Ye. F. Tsarkov et al.

CYBERNETICS AND SYSTEMS ANALYSIS (2010)

Add to Collection

Article Computer Science, Cybernetics

LYAPUNOV FUNCTION METHOD FOR INVESTIGATION OF STABILITY OF STOCHASTIC ITO RANDOM-STRUCTURE SYSTEMS WITH IMPULSE MARKOV SWITCHINGS. I. GENERAL THEOREMS ON THE STABILITY OF STOCHASTIC IMPULSE SYSTEMS

T. O. Lukashiv et al.

CYBERNETICS AND SYSTEMS ANALYSIS (2009)

Add to Collection

Stabilization of Stochastic Dynamical Systems of a Random Structure with Markov Switches and Poisson Perturbations

Related references

Event-triggered synchronization for stochastic delayed neural networks: Passivity and passification case

Robust H∞ synchronization of Markov jump stochastic uncertain neural networks with decentralized event-triggered mechanism

One Form of Lyapunov Operator for Stochastic Dynamic System with Markov Parameters

A new mathematical explanation of what triggered the catastrophic torsional mode of the Tacoma Narrows Bridge

STABILITY IN IMPULSIVE SYSTEMS WITH MARKOV PERTURBATIONS IN AVERAGING SCHEME. 2. AVERAGING PRINCIPLE FOR IMPULSIVE MARKOV SYSTEMS AND STABILITY ANALYSIS BASED ON AVERAGED EQUATIONS

STABILITY IN IMPULSIVE SYSTEMS WITH MARKOV PERTURBATIONS IN AVERAGING SCHEME. I. AVERAGING PRINCIPLE FOR IMPULSIVE MARKOV SYSTEMS

LYAPUNOV FUNCTION METHOD FOR INVESTIGATION OF STABILITY OF STOCHASTIC ITO RANDOM-STRUCTURE SYSTEMS WITH IMPULSE MARKOV SWITCHINGS. I. GENERAL THEOREMS ON THE STABILITY OF STOCHASTIC IMPULSE SYSTEMS

Export Citation

Share Paper