Real-time prediction of signals is a task often encountered in control problems as well as by living systems. Here, a parsimonious prediction approach based on the coupling of a linear relaxation-delay system to a smooth, stationary signal is described. The resulting anticipatory relaxation dynamics (ARD) is a frequency-dependent predictor of future signal values. ARD not only approximately pre...

Analyses and investigations on river flow behavior are major issues in design, operation and studies related to water engineering. Thus, recently the application of chaos theory and new techniques, such as chaos theory, has been considered in hydrology and water resources due to relevant innovations and ability. This paper compares the performance of chaos theory with Anfis model and discusses ...

The Wireless Sensor Networks (WSN) particularly for real time applications raise fundamental problems for the scientific community. These problems are related to the limit of energy resource and the real time constraints on the communication delay. The well functioning of such networks depends mainly on the network lifetime result of nodes energies and the communication delay which should meet ...

In this paper, we propose a control structure for a class of systems with Lipschitz nonlinearity and unknown time-varying input delay. This scheme considers the worst case scenario in control design with Truncated Prediction Feedback (TPF) approach, and takes into account the information of the lower bound of delay in the stability analysis. A finite-dimensional controller is constructed, requi...

-This paper addresses compensation of dealys within a multi-input-multi-output discrete-time feedback loop for application to real-time distributed control systems. The delay compensation algorithm, formulated, in this paper, is an extension of the standard loop transfer recovery (LTR) procedure from one-step prediction to the general case of p-step prediction ( p > l ) . It is shown that the s...

In this paper we propose a new technique to quantize the spectral information in an Algebraic Code-Excited Linear Prediction (ACELP) wideband codec. The Voicing-Based Vector Quantization (VBVQ) presented in this paper, optimizes the search of the optimum vector while reducing the codebook entries by almost one third. In the VBVQ training phase, three codebooks are individually designed for voic...