# Search results

International Journal of Robust and Nonlinear Control > 29 > 11 > 3701 - 3714

International Journal of Control, Automation and Systems > 2018 > 16 > 2 > 426-436

IEEE Transactions on Automatic Control > 2018 > 63 > 1 > 196 - 202

Pomiary Automatyka Robotyka > 2018 > R. 22, nr 3 > 51--59

IET Renewable Power Generation > 2017 > 11 > 14 > 1760 - 1768

IET Generation, Transmission & Distribution > 2017 > 11 > 17 > 4307 - 4313

IET Control Theory & Applications > 2017 > 11 > 17 > 3191 - 3195

IET Control Theory & Applications > 2017 > 11 > 17 > 3156 - 3170

IET Control Theory & Applications > 2017 > 11 > 17 > 3115 - 3121

IET Control Theory & Applications > 2017 > 11 > 17 > 3137 - 3145

IET Control Theory & Applications > 2017 > 11 > 17 > 3211 - 3220

_{∞}control for a class of discrete-time delayed non-linear systems in the presence of controller failure by using a probability-dependent method. Considering the stochasticity and inevitability of controller failure, they propose a notion of controller probabilistic failure. Based on the idea of switching, the studied systems are converted into a kind of stochastic...

IET Control Theory & Applications > 2017 > 11 > 17 > 3089 - 3096

IET Control Theory & Applications > 2017 > 11 > 17 > 2994 - 3003

IET Control Theory & Applications > 2017 > 11 > 17 > 2954 - 2963

_{∞}control problem for a class of stochastic non-linear systems where the measurement outputs subject to randomly occurring sensor saturations are transmitted through the network link and will inevitably encounter the random delays and multiple packet dropouts. The network-induced phenomena have the random nature which is governed by Bernoulli distributed stochastic variables...

IET Power Electronics > 2017 > 10 > 14 > 1915 - 1923

Formal Methods in System Design > 2018 > 53 > 3 > 363-383

IET Control Theory & Applications > 2017 > 11 > 16 > 2824 - 2833

IET Control Theory & Applications > 2017 > 11 > 16 > 2783 - 2792

IET Control Theory & Applications > 2017 > 11 > 16 > 2886 - 2892

IET Control Theory & Applications > 2017 > 11 > 16 > 2680 - 2687