Fengqi Yao

Orcid: 0000-0001-6680-5264

According to our database1, Fengqi Yao authored at least 18 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Robust exponential stability of discrete-time uncertain impulsive stochastic neural networks with delayed impulses.
Neural Networks, March, 2023

2020
Quantized peak-to-peak filtering for continuous-time nonhomogeneous Markov jump systems with structured uncertainty.
J. Frankl. Inst., 2020

2018
An event-triggered approach to finite-time observer-based control for Markov jump systems with repeated scalar nonlinearities.
Trans. Inst. Meas. Control, 2018

Robust <i>H</i><sub>∞</sub> filtering for continuous-time nonhomogeneous Markov jump nonlinear systems with randomly occurring uncertainties.
Signal Process., 2018

\(H_{\infty }\) filter design for delayed static neural networks with Markovian switching and randomly occurred nonlinearity.
Int. J. Mach. Learn. Cybern., 2018

Robust exponential stability of uncertain impulsive stochastic neural networks with delayed impulses.
J. Frankl. Inst., 2018

2017
Delay-dependent L<sub>2</sub>-L<sub>∞</sub> filtering for fuzzy neutral stochastic time-delay systems.
Signal Process., 2017

Non-fragile l2-l∞ filtering for nonhomogeneous Markov jump systems with randomly occurring uncertainties and gain variations.
J. Frankl. Inst., 2017

2016
Output Feedback Guaranteed Cost Control for Networked Control Systems With Random Packet Dropouts and Time Delays in Forward and Feedback Communication Links.
IEEE Trans Autom. Sci. Eng., 2016

Mixed H<sub>2</sub>/H<sub>∞</sub> control of markovian jump time-delay systems with uncertain transition probabilities.
Inf. Sci., 2016

Finite-time asynchronous H<sub>∞</sub> control for Markov jump repeated scalar non-linear systems with input constraints.
Appl. Math. Comput., 2016

2015
Network-Based Robust H<sub>2</sub>/H<sub>∞</sub> Control for Linear Systems With Two-Channel Random Packet Dropouts and Time Delays.
IEEE Trans. Cybern., 2015

2014
On input-to-state stability of impulsive stochastic systems.
J. Frankl. Inst., 2014

Dissipativity-based state estimation for Markov jump discrete-time neural networks with unreliable communication links.
Neurocomputing, 2014

Exponential stability analysis of impulsive stochastic functional differential systems with delayed impulses.
Commun. Nonlinear Sci. Numer. Simul., 2014

2013
Stability Analysis of Networked Control Systems with Random Time Delays and Packet Dropouts Modeled by Markov Chains.
J. Appl. Math., 2013

2012
Stability of impulsive stochastic functional differential systems in terms of two measures via comparison approach.
Sci. China Inf. Sci., 2012

2010
Comparison principle and stability of impulsive stochastic functional differential systems in terms of two measures.
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010


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