This project aims to develop an Intelligent controller for a Non-Linear process. The Conical tank level process station is available in the process Dynamics and control Laboratory of our Department and can be taken in...
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This paper presents a novel approach to Echo State Networks (ESNs) by integrating state -feedback with switching systems theory and the computational efficiency of Reservoir computing architectures. We introduce an in...
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This paper presents a novel approach to Echo State Networks (ESNs) by integrating state -feedback with switching systems theory and the computational efficiency of Reservoir computing architectures. We introduce an innovative architecture for ESNs, featuring a switching input weight and state -feedback gain, applicable to both linear and non-linear reservoirs. The stability of this architecture is rigorously analysed using the standard Lyapunov function construction method. Additionally, we explore the dynamical properties of a state -feedback ESN architecture used in the literature. The advantages of the proposed switching ESN is demonstrated using electrophysiological recordings in fruitfly photoreceptors.
This paper presents a system for the acquisition and processing of phonocardiogram (PCG) signals. The aim was to develop a system with the following facilities: automatic control of input signal amplitude, signal filt...
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This paper presents a system for the acquisition and processing of phonocardiogram (PCG) signals. The aim was to develop a system with the following facilities: automatic control of input signal amplitude, signal filtering, digital processing for heart beat rate (HBR) detection, and storage of signal samples for further automatic classification and pathology identification.
In this research work, a novel Virtual Instrument (VI) for processcontrol, monitoring, and data acquisition was created using Laboratory Virtual Instrument Engineering Workbench (LabVIEW) software, distinguishing tra...
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The proceedings contain 21 papers. The special focus in this conference is on High-Performance computing Systems and Technologies in Scientific Research, automation of control and Production. The topics include: Adapt...
ISBN:
(纸本)9783031510564
The proceedings contain 21 papers. The special focus in this conference is on High-Performance computing Systems and Technologies in Scientific Research, automation of control and Production. The topics include: Adaptive Methods for the Structural Optimization of Neural Networks and Their Ensemble for Data Analysis;self-adaptation Method for Evolutionary Algorithms Based on the Selection Operator;application of U-Net Architecture Neural Network for Segmentation of Brain Cell Images Stained with Trypan Blue;language Model Architecture Based on the Syntactic Graph of Analyzed Text;classic and Modern Methods of Automatic Parking control of Self-driving Cars;application of Smoothing Technique to Model Predictive Traffic Signal control;design Features of the Frequency-controlled Electric Drive for Positioning Mechanisms;Development of a Mathematical Model to Study the Energy Indicators of Electric Drives Using the DFC-IM System;intelligent Data Analysis for Materials Obtained Using Selective Laser Melting Technology;speech Enhancement Based on Two-Stage Neural Network with Structured State Space for Sequence Transformation;fourier Chromagrams for Fingerprinting, Verification and Authentication of Digital Audio Recordings;methodology of Expert-Agent Cognitive Modeling for Preventing Impact on Critical Information Infrastructure;designing a Graphics Accelerator with Heterogeneous Architecture;spectrophotometer for Field Studies;comparative Study of Practical Implementation of Time Delay Estimation Methods on Single Board Computer;study of the Functional Characteristics of TiNi Coatings by the Computer-Aided Simulation Using Parallel computing;on Hierarchical Convergence of the Heterogeneous Multiscale Finite Element Method Using Polyhedral Supports;parallelization of Finite-Volume Numerical Methods of Computational Fluid Dynamics by Means of Shared Memory computing Systems.
External and internal convertible (EIC) form-based motion control (i.e., EIC-based control) is one of the effective approaches for underactuated balance robots. By sequentially controller design, trajectory tracking o...
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ISBN:
(纸本)9798350384581;9798350384574
External and internal convertible (EIC) form-based motion control (i.e., EIC-based control) is one of the effective approaches for underactuated balance robots. By sequentially controller design, trajectory tracking of the actuated subsystem and balance of the unactuated subsystem can be achieved simultaneously. However, with certain conditions, there exists uncontrolled robot motion under the EIC-based control. We first identify these conditions and then propose an enhanced EIC-based control with a Gaussian process datadriven robot dynamic model. Under the new enhanced EIC-based control, the stability and performance of the closed-loop system are guaranteed. We demonstrate the GP-enhanced control experimentally using two examples of underactuated balance robots.
This study focuses on the application and optimization of robotic systems in industrial production lines, with the overall goal of increasing manufacturing efficiency and streamlining processautomation. A pioneering ...
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ISBN:
(纸本)9798350373301;9798350373295
This study focuses on the application and optimization of robotic systems in industrial production lines, with the overall goal of increasing manufacturing efficiency and streamlining processautomation. A pioneering vision-based methodology for industrial robot sensing is presented, which enables precise control mechanisms through improved environmental data acquisition. In addition, a comprehensive methodology is presented for optimizing robot control at the physical level, thereby improving overall system efficiency and performance. By combining insights from an exhaustive review of related literature with innovative methodologies, this study makes a significant contribution to advancing the integration of robotic systems in industrial production lines. The experimental platform established for the visual target recognition and grasping system of industrial robots has undergone rigorous testing involving various objects commonly encountered in industrial environments. The results showed remarkable success rates in grasping various objects, with certain objects achieving perfect success rates of 100% over multiple trials. In particular, the bottle and small box showed exceptional performance, with a perfect success rate across all trials. Conversely, some objects had comparatively lower success rates due to factors such as shape complexity or surface texture. These empirical results highlights the effectiveness of proposed methods in facilitating reliable object recognition and gripping in industrial production lines.
Industrial processes must be as efficient and reliable as possible. To achieve this goal, control and command systems capable of improving processes and minimizing errors that may occur must be utilized. The objective...
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Industrial processes must be as efficient and reliable as possible. To achieve this goal, control and command systems capable of improving processes and minimizing errors that may occur must be utilized. The objective of this paper is the development and implementation of a simulated industrial process using web technologies and controlled with the help of a programmable logic controller (PLC). Through this simulation, the operating model of a real process can be represented and tested, allowing for the examination of various control scenarios and strategies. This simulation enables the identification and elimination of potential errors that may occur during the operation of the real process, thus reducing risks and costs. Another aspect pursued is the method of communication between the PLC and the simulation. The communication protocol used to achieve communication is S7Comm. In addition to the outlined objectives, the paper aims to explore the potential benefits of integrating web technologies into industrial automationprocesses. By leveraging web -based interfaces and communication protocols, such as S7Comm, the system can offer enhanced accessibility and flexibility for monitoring and controlling industrial processes remotely.
This paper investigates the estimation of lateral tire forces and predictive control for vehicles equipped with intelligent tires. Motivated by the capability of intelligent tires to estimate lateral tire forces, we p...
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ISBN:
(纸本)9798350354416;9798350354409
This paper investigates the estimation of lateral tire forces and predictive control for vehicles equipped with intelligent tires. Motivated by the capability of intelligent tires to estimate lateral tire forces, we propose a control scheme that includes a predictor for lateral tire forces, utilizing the Gaussian process Regression technique. In addition, a metric for online data management is proposed, which has the characteristic of retaining more data in regions where the change of the function value is relatively large. The proposed metric can be interpreted as an extension of the existing method, allowing for the control of dataset quality within its limited size. We apply the proposed control scheme to the model predictive contouring control problem. Numerical simulations demonstrate the robustness of the proposed control scheme to tire parameter uncertainty, in comparison to a baseline controller.
Most processes in chemical technologies are performed on non-transparent equipment (metal, opaque plastic, thermally insulated equipment). This prevents visual monitoring of the process in progress and, in certain cas...
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ISBN:
(纸本)9798350352481;9798350352474
Most processes in chemical technologies are performed on non-transparent equipment (metal, opaque plastic, thermally insulated equipment). This prevents visual monitoring of the process in progress and, in certain cases, necessitates the installation of costly and sophisticated optical sensors in the machinery in order to enable the automation governing the process to make the required decisions. At the same time, most of these changes can be detected by indirect signs using sensors already installed in the system, which makes it possible to simplify and reduce the cost of parameter monitoring methods. One of these methods can be the use of data received from a monitor of electrical network parameters. In some cases, changes in the value of consumed currents, active and apparent power can be clearly associated with the processes occurring in the "black box", and after proper calibration, serve as reliable criteria for making certain decisions.
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