In this paper, the problem of distributed adaptive consensus tracking control for second-order nonlinear heterogeneous multi-agent systems (MASs) with input quantization is considered. A output feedback scheme based on a K-filter developed to suppress influences unknown disturbances and quantization. contrast existing approaches, an additional design parameter introduced into controller ensure ...

Abstract This paper presents a robust approach using artificial neural networks in the form of a Self Organizing Map (SOM) as a semi-automatic method for analysis and identification of morphometric features in two completely different environments, the Man and Biosphere Reserve “Eastern Carpathians” (Central Europe) in a complex mountainous humid area and Yardangs in Lut Desert, Iran, a hyper...

In this paper, we propose a Lyapunov function design method using a difference approximation scheme and quantization of the Markov process. First, we approximate a Lyapunov equation by a Schrödinger-like equation. Second, we obtain sufficient conditions for a function to be a Lyapunov function. Then, we provide a Lyapunov function design procedure.

This paper is the extension of two-stage vector quantization–(spherical) lattice vector quantization (VQ–(S)LVQ) recently introduced by Pan and Fischer [1]. First, according to high resolution quantization theory, generalized vector quantization–lattice vector quantization (G-VQ–LVQ) is formulated in order to release the constraint of the spherical boundary for the second-stage lattice vector q...

Quantization procedure in the framework of general superfield quantization method (GSQM), based on the Lagrangian [1] and Hamiltonian [2] formulations for general super-field theory of fields, for irreducible gauge theories in Lagrangian formalism is proposed. Extension procedure for supermanifold M cl of superfields A ı (θ), ghost number construction are considered. Classical and ¯ h-deformed ...

The compression of deep learning models is fundamental importance in deploying such to edge devices. selection parameters can be automated meet changes the hardware platform and application. This article introduces a Multi-Objective Hardware-Aware Quantization (MOHAQ) method, which considers performance inference error as objectives for mixed-precision quantization. proposed method feasibly eva...

I usually do not go to conferences which have in the title the standard fashionable words ”Quantum Gravity” (QG). I made an exception this time because my dear friend Giampiero had the good taste of creating two sessions: one dedicated to QG and another to ”Foundations of Quantization”(FQ). In fact I belong to that minority which thinks that we should not only try to attack the second of the tw...