Extended dissipative state estimation for Markov jump neural networks with unreliable links

H Shen, Y Zhu, L Zhang, JH Park - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper is concerned with the problem of extended dissipativity-based state estimation for
discrete-time Markov jump neural networks (NNs), where the variation of the piecewise time …

Adaptive optimization algorithm for nonlinear Markov jump systems with partial unknown dynamics

H Fang, G Zhu, V Stojanovic, R Nie… - … Journal of Robust …, 2021 - Wiley Online Library
An online adaptive optimal control problem for a class of nonlinear Markov jump systems
(MJSs) is studied. It is worth noting that the dynamic information of MJSs is partially …

Reliable mixed passive and filtering for semi‐Markov jump systems with randomly occurring uncertainties and sensor failures

H Shen, ZG Wu, JH Park - International Journal of Robust and …, 2015 - Wiley Online Library
This paper investigates the reliable mixed passive and filtering problem for uncertain semi‐
Markov jump delayed systems subject to sensor failures. The parameter uncertainties are …

Finite-time H∞ synchronization for complex networks with semi-Markov jump topology

H Shen, JH Park, ZG Wu, Z Zhang - Communications in Nonlinear Science …, 2015 - Elsevier
This paper investigates the problem of finite-time H∞ synchronization for complex networks
with time-varying delays and semi-Markov jump topology. The network topologies are …

Reliable mixed H∞/passive control for T–S fuzzy delayed systems based on a semi-Markov jump model approach

H Shen, L Su, JH Park - Fuzzy Sets and Systems, 2017 - Elsevier
This paper investigates the problem of the reliable mixed H∞/passive control for Takagi–
Sugeno (T–S) fuzzy delayed systems based on a semi-Markov jump model (SMJM) …

Finite-time synchronization control for uncertain Markov jump neural networks with input constraints

H Shen, JH Park, ZG Wu - Nonlinear Dynamics, 2014 - Springer
This paper is concerned with the problem of finite-time synchronization control for uncertain
Markov jump neural networks in the presence of constraints on the control input amplitude …

Comparison of four different heuristic optimization algorithms for the inverse kinematics solution of a real 4-DOF serial robot manipulator

M Ayyıldız, K Cetinkaya - Neural Computing and Applications, 2016 - Springer
In this study, a 4-degree-of-freedom (DOF) serial robot manipulator was designed and
developed for the pick-and-place operation of a flexible manufacturing system. The solution …