Lag in virtual reality (VR), i.e., the delay between performing an action and seeing the result of that action, is critical when trying to achieve immersion. While multiple, networked processors have been used to increase through-put, we concentrate on using multiple processors to reduce lag. To that end, we present a complete list of all possible lag sources in VR applications, review availabl...

A novel method for determining the set of parameters for a phase space representation of a time series is proposed. Based upon the differential entropy, both the optimal embedding dimension , and time lag , are simultaneously determined. The choice of these parameters is closely related to the length of the optimal tap input delay line of an adaptive filter or time-delay neural network. The met...

The extinction of the tortoises is a critical problem on global scale. The most useful technique to assist their population growth was identified in the rescue of the eggs in order to protect the hatchlings during their first year of life. We propose an autonomous system based on input delay neural network that can automatically recognize the activity of the tortoise by analyzing signals record...

A problem of robust fault diagnosis of digital controlled continuous-time systems with uncertain time-varying input delay is studied in this paper. Two residual-based fault detection and isolation (FDI) schemes are proposed that are robust in terms of time-varying delays induced by the electronic devices and disturbances. The idea of both proposed methods is to transform the uncertainty caused ...

This decade there has been renewed interest in research on time-delay systems (TDS) due to the major influence of delays, particularly in communication networks, on control systems. Thus many applied and theoretical research works have been carried out recently on time-delay systems [1], [2], [3], [4], [5], [6]. The book intends to ”present a systematic and comprehensive treatment of robust H∞ ...

For DiffServ network, an AQM controller is designed based on the nonlinear fluid flow model and the Integrated Dynamic Congestion Control (IDCC) scheme. Due to modeling uncertainties, time varying parameter fluctuations and external disturbances, we adopt a robust controller based on sliding mode control. The controller is designed for premium traffic service and ordinary traffic service respec...

We consider general nonlinear systems with time-varying input and state delays for which we design predictor-based feedback controllers. Based on a time-varying infinitedimensional backstepping transformation that we introduce, our controller achieves global asymptotic stability in the presence of a time-varying input delay, which is proved with the aid of a strict Lyapunov function that we con...

The adaptive dual control problem of a single-in single-out (SISO) stochastic system with unknown parameters and input delay is studied in this paper. The unknown parameters are assumed to be constant but belong to a known finite set. For each group of possible model parameters, a Kalman filter is used to estimate the system state online and the posterior probability of this model can also be c...