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Extended dissipative state estimation for Markov jump neural networks with unreliable links
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 …
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 …
(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
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 …
Markov jump delayed systems subject to sensor failures. The parameter uncertainties are …
Finite-time H∞ synchronization for complex networks with semi-Markov jump topology
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 …
with time-varying delays and semi-Markov jump topology. The network topologies are …
Dissipativity-based sampled-data control for fuzzy switched Markovian jump systems
J ** parameters. Considering the influence of actuator faults …
Reliable mixed H∞/passive control for T–S fuzzy delayed systems based on a semi-Markov jump model approach
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) …
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
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 …
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
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 …
developed for the pick-and-place operation of a flexible manufacturing system. The solution …