The state estimation of a quantized system (Q.S.) is a challenging problem for designing feedback control and model-based fault diagnosis algorithms. The core of a Q.S. is a continuous variable system whose inputs and outputs are represented by their corresponding quantized values. This paper concerns with state estimation of a Q.S. by a qualitative observer. The presented observer in this pape...

The present paper aims at investigating the manner of two dissipative massive scalar fields. Two massive scalar fields that interact with a reservoir were considered and a reservoir was modeled by continuum Klein-Gordon fields. The Lagrangian of the total system was canonically quantized and the dynamics of the system was determined using the Euler-Lagrange equation. Then, the explicit form of the...

Although analog semantic communication systems have received considerable attention in the literature, there is less work on digital systems. In this paper, we develop a deep learning (DL)-enabled vector quantized (VQ) system for image transmission, named VQ-DeepSC. Specifically, propose convolutional neural network (CNN)-based transceiver to extract multi-scale features of images and introduce...

In this paper, we present a modified version of Hill’s dynamical system that is called the quantized three-body problem in sense equations motion for classical are now derived under effects quantum corrections. To do so, position variables and parameters correspond to corrections respective scaled appropriately, then by taking limit when parameter mass ratio tends zero, obtain relevant spatial ...

theoretically, in order to describe the behavior of a spectrum, a mathematical model whichcould predict the spectrum characteristics is needed. since in this study a two-state system has beenused like models which was introduced previously past and could couple with the environment, theformer ideas have been extended in this study. we use the second quantized version for writing thishamiltonian...

The paper introduces a new family of numerical ODE solvers called Quantized State System (QSS) methods. Given a set of ODEs in its state-space representation, the QSS methods replace the classic time slicing by a quantization of the states, leading to an asynchronous discrete-event simulation model instead of a discretetime difference equation model. QSS methods applied to stable linear time-in...