Sentence examples for multiple state delays from inspiring English sources

In this paper, we investigate the robust passivity synthesis problem for a class of uncertain systems with multiple state delays.

In this paper, an H−/H∞ fault detection (FD) filter is designed for linear singular systems with multiple state delays.

This paper is concerned with the problems of robust full-order H2 and H∞ filter design for linear uncertain discrete-time systems with multiple state delays.

In this paper, the robust fault detection problem is investigated for a class of discrete-time networked systems with unknown input and multiple state delays.

A very efficient method in the study of the stability of difference equations is represented by the so-called "freezing technique," which was used in [22] for the study of absolute stability of discrete-time systems with delay and also in [23] in order to deduce explicit conditions for global feedback exponential stabilizability of discrete-time control systems with multiple state delays.

The new algorithm is then extended to linear time-varying (LTV) systems with uncertain multiple state-delays.

This study is concerned with the problem of robust adaptive fuzzy fault-tolerant control for a class of uncertain nonlinear systems with mismatching parameter uncertainties, external disturbances, multiple state time delays perturbations and actuator failures, which include loss of effectiveness, outage and stuck modes.

In this paper, a robust H∞ fault detection filter is designed for a class of discrete-time nonlinear networked control systems via T-S fuzzy model with multiple bounded state delay and random packet dropout induced by the limited bandwidth of communication networks.

A delay- and parameter-dependent approach to generalized H2 filtering is proposed for linear continuous-time uncertain systems with multiple time-varying state delays.

This study proposes LS-Q learning architecture that can deal with general reinforcement learning tasks with multiple states and delayed reward.

This is not a shortcoming of the simulation algorithm, as drawing from a state-dependent distribution does not involve substantial changes in the implementation, but rather an impracticality of the methodology, given the efforts needed to obtain multiple state-dependent delay distributions.