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On the Stabilization of a Class of OSL Conformable Fractional Order Nonlinear systems

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On the Stabilization of a Class of OSL Conformable Fractiona...

International Conference on systems and control (ICSC)

作者： Ali Omar M. Alsharif A. Jmal O. Naifar Ausama H. Ahmed Hamdi Gassara A. Ben Makhlouf Electrical Engineering Department Control and energy management laboratory (CEM lab) Sfax University Engineering National School Sfax Tunisia Department of Electrical & Computer Engineering Faculty of Engineering Elmergib University Alkhums Libya Laboratory of Sciences and Techniques of Automatic Control and Computer Engineering National School of Engineering of Sfax University of Sfax Tunisia Department of Mathematics Faculty of Sciences of Sfax Sfax Tunisia

One-Sided Lipschitz (OSL) fractional order modeling is a top choice for solving the stabilization issue of nonlinear systems. Despite numerous studies on the subject, there remains a gap in understanding when it comes to fractional calculus. By providing a stabilizing strategy for a certain type of OSL fractional order nonlinear systems, this study fills the gap. A numerical example demonstrating the correctness of the suggested approach and demonstrating its efficacy for the tested class.

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Wireless Ventilation control for Large-Scale systems: the Mining Industrial Case

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Wireless Ventilation Control for Large-Scale Systems: the Mi...

IEEE Annual Communications Society Sensor, Mesh and Ad Hoc Communications and Networks SECON Workshops

作者： M.D. Di Benedetto A. D'Innocenzo C. Fischione A.J. Isaksson K.H. Johansson S.-I. Niculescu S. Olaru G. Sandou F. Santucci E. Serra S. Tennina U. Tiberi E. Witrant Department of Electrical and Computer Engineering DEWS-University of L'Aquila L'Aquila Italy Universita degli Studi dell'Aquila L'Aquila Abruzzo IT Automatic Control Department KTH Stockholm Sweden ABB Corporate Research Center Vasteras Sweden LSS-SUPELEC Gif-sur-Yvette France Automatic Control Department SUPELEC Gif-sur-Yvette France Control Systems Department Université Joseph Fourier-Grenoble Grenoble France

Mining ventilation is an interesting example of a large scale system with high environmental impact where advanced control strategies can bring major improvements. The challenge in this work is focused on the mining ventilation since as much as 50 % or more of the energy consumed by the mining process may go into the ventilation (including heating the air). It is clear that investigating automatic control solutions and minimizing the amount of pumped air to save energy consumption (proportional to the cube of airflow quantity) is of great environmental and industrial interest.

关键词： Ventilation control systems Large-scale systems Electrical equipment industry Industrial control Mining industry automatic control Shafts Fans Computational fluid dynamics

Fast-moving object counting with an event camera

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arXiv 2022年

作者： Bialik, Kamil Kowalczyk, Marcin Blachut, Krzysztof Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Al. Mickiewicza 30 Krakow30-059 Poland

This paper proposes the use of an event camera as a component of a vision system that enables counting of fast-moving objects – in this case, falling corn grains. These type of cameras transmit information about the change in brightness of individual pixels and are characterised by low latency, no motion blur, correct operation in different lighting conditions, as well as very low power consumption. The proposed counting algorithm processes events in real time. The operation of the solution was demonstrated on a stand consisting of a chute with a vibrating feeder, which allowed the number of grains falling to be adjusted. The objective of the control system with a PID controller was to maintain a constant average number of falling objects. The proposed solution was subjected to a series of tests to determine the correctness of the developed method operation. On their basis, the validity of using an event camera to count small, fast-moving objects and the associated wide range of potential industrial applications can be confirmed. © 2022, CC BY.

关键词： Cameras

History Data Driven Distributed Consensus in Networks

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arXiv 2022年

作者： Renganathan, Venkatraman Fontan, Angela Ganapathy, Karthik Department of Automatic Control LTH Lund University Lund Sweden Division of Decision and Control Systems KTH Royal Institute of Technology Stockholm Sweden Department of Mechanical Engineering The University of Texas at Dallas RichardsonTX United States

The association of weights in a distributed consensus protocol quantify the trust that an agent has on its neighbors in a network. An important problem in such networked systems is the uncertainty in the estimation of trust between neighboring agents, coupled with the losses arising from mistakenly associating wrong amounts of trust with different neighboring agents. We introduce a probabilistic approach which uses the historical data collected in the network, to determine the level of trust between each agent. Specifically, using the finite history of the shared data between neighbors, we obtain a configuration which represents the confidence estimate of every neighboring agent’s trustworthiness. Finally, we propose a History-Data-Driven (HDD) distributed consensus protocol which translates the computed configuration data into weights to be used in the consensus update. The approach using the historical data in the context of a distributed consensus setting marks the novel contribution of our paper. Copyright © 2022, The Authors. All rights reserved.

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Reconfigurable flight controller for the STOL F-15 with sensor/actuator failures

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Reconfigurable flight controller for the STOL F-15 with sens...

IEEE National Conference on Aerospace and Electronics (NAECON)

作者： D.L. Pogoda P.S. Maybeck Advanced Flight Control Unit of the Aircraft Control Systems Department General Electric Company Limited Department of Electrical and Computer Engineering Air Force Institute of Technology OH USA

A multiple model adaptive controller that provides for reconfiguration in response to sensor and/or actuator failures is developed for an approach and landing profile for the short take-off and landing (STOL) F-15 aircraft. Each elemental controller within the multiple model controller is based on a command generator tracker/proportional plus integral/Kalman filter design, with residual monitoring used as the mechanism to select the appropriate controller. The elemental controllers are each based on an assumed system status: no failures or a single failed surface or sensor. controller selection is evaluated for controller mixing based on all algorithm-computed probabilities of each elemental controller being the 'correct' controller to use. The entire multiple model controller is evaluated against a truth model with a selected failure, and then repeating the process for all failure modes of interest.< >

关键词： Pi control Proportional control Programmable control Adaptive control Actuators Aircraft Aerospace control Condition monitoring control systems Sensor systems

BIOPHYSICAL SIGNAL PROCESSING FOR automatic ANXIETY CLASSIFICATION IN A VIRTUAL REALITY EXPOSURE THERAPY SYSTEM

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UPB Scientific Bulletin, Series C: Electrical Engineering an...

UPB Scientific Bulletin, Series C: Electrical engineering and computer Science 2024年第2期86卷 73-84页

作者： Jinga, Nicolae Petrescu, Cătălin-Dumitru Mitruț, Oana Moldoveanu, Alin Moldoveanu, Florica Petrescu, Livia Dept. of Computer Science National University of Science and Technology POLITEHNICA Bucharest Romania Dept. of Automatic Control and Systems Engineering National University of Science and Technology POLITEHNICA Bucharest Romania Faculty of Biology University of Bucharest Romania

This paper presents a signal processing framework for automatic anxiety level classification in a virtual reality exposure therapy system. Two types of biophysical data (heart rate and electrodermal activity) were recorded, pre-processed and passed through a feature extraction procedure that provided input for the real-time anxiety level classification algorithm. We showcase the mathematical and engineering techniques behind the procedures and conclude with the challenges encountered in our research and future development ideas. The proposed method provides a good estimate of the level of anxiety while having at the same time a reduced level of complexity, allowing implementation on equipment with limited computing resources. © 2024, Politechnica University of Bucharest. All rights reserved.

关键词： Classification (of information)

Modelling of an Electric Vehicle for Tractive Force Calculation Along with Factors Affecting the Total Tractive Power and Energy Demand 3

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Modelling of an Electric Vehicle for Tractive Force Calculat...

3rd International Conference on Computing, Mathematics and engineering Technologies, iCoMET 2020

作者： Saleem, Adeel Liu, Nain Junjie, Hu Iqbal, Atif Hayyat, Muhammad Aftab Mateen, Muhammad North China Electric Power University School of Electrical and Electronics Engineering Beijing China North China Electric Power University School of Renewable Energy Clean Energy Beijing China School of Control and Computer Engineering North China Electric Power University Beijing China Sukkar IBA University Department of Energy Systems Engineering Sukkar Pakistan

ISBN: (纸本)9781728149707

In the automotive industry from the past years, the trend has been towards more complicated electronic control system. The new approach for vehicle design has to be multidisciplinary. Developing a simulation model for the vehicle design with an optimal accuracy is a challenging task where only the driving cycles and the vehicle specifications are the inputs for the simulation. In this paper presents an equation-based design approach for the vehicle design to calculate the total tractive power and energy required for propulsion. The output result of this study is constructive to design a new vehicle because it allows you to a trade-off between the range and power source required for particular vehicle either conventional vehicle, electric vehicle and hybrid vehicle. The main goal for this paper is to investigate and quantify the relationship between the dynamic vehicle parameters and its energy consumption along with highlights the three standard drive cycles used for the simulation of the middle-size sport-utility. This proposed model is sufficient to understand the effect of all the resistance forces acting on the vehicle such as wind resistance force, rolling resistance force, grade resistance force, acceleration resistance force and these resistance forces having direct relationship with the vehicle parameters as vehicle mass, frontal area, air density, drag coefficient, rolling resistance coefficient and road angle etc. The circuit is built in the SIMULINK/MATLAB for the verification of the vehicle design. The US06 standard drive cycle is given to the model as input to investigate the performance of the vehicle design under the more real and practical conditions. © 2020 IEEE.

关键词： Economic and social effects

Modelling COVID-19 pandemic dynamics using transparent, interpretable, parsimonious and simulatable (TIPS) Machine learning models: A case study from systems thinking and system identification perspectives

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arXiv 2021年

作者： Wei, Hua-Liang Billings, Stephen A. Department of Automatic Control and Systems Engineering The University of Sheffield INSIGNEOInstitute for in Silico Medicine The University of Sheffield SheffieldS1 3JD United Kingdom

Since the outbreak of COVID-19, an astronomical number of publications on the pandemic dynamics appeared in the literature, of which many use the susceptible infected removed (SIR) and susceptible exposed infected removed (SEIR) models, or their variants, to simulate and study the spread of the coronavirus. SIR and SEIR are continuous-time models which are a class of initial value problems (IVPs) of ordinary differential equations (ODEs). Discrete-time models such as regression and machine learning have also been applied to analyze COVID-19 pandemic data (e.g. predicting infection cases), but most of these methods use simplified models involving a small number of input variables preselected based on a priori knowledge, or use very complicated models (e.g. deep learning), purely focusing on certain prediction purposes and paying little attention to the model interpretability. There have been relatively fewer studies focusing on the investigations of the inherent time-lagged or time-delayed relationships e.g. between the reproduction number (R number), infection cases, and deaths, analyzing the pandemic spread from a systems thinking and dynamic perspective. The present study, for the first time, proposes using systems engineering and system identification approach to build transparent, interpretable, parsimonious and simulatable (TIPS) dynamic machine learning models, establishing links between the R number, the infection cases and deaths caused by COVID-19. The TIPS models are developed based on the well-known NARMAX (Nonlinear AutoRegressive Moving Average with eXogenous inputs) model, which can help better understand the COVID-19 pandemic dynamics. A case study on the UK COVID-19 data is carried out, and new findings are detailed. The proposed method and the associated new findings are useful for better understanding the spread dynamics of the COVID-19 pandemic. © 2021, CC BY-NC-ND.

关键词： Dynamics

Randomized projection methods for convex feasibility problems: Conditioning and convergence rates

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arXiv 2018年

作者： Necoara, Ion Patrascu, Andrei Richtarik, Peter Automatic Control and Systems Engineering Department University Politehnica Bucharest Bucharest060042 Romania School of Mathematics Maxwell Institute for Mathematical Sciences University of Edinburgh United Kingdom

Finding a point in the intersection of a collection of closed convex sets, that is the convex feasibility problem, represents the main modeling strategy for many computational problems. In this paper we analyze new stochastic reformulations of the convex feasibility problem in order to facilitate the development of new algorithmic schemes. We also analyze the conditioning problem parameters using certain (linear) regularity assumptions on the individual convex sets. Then, we introduce a general random projection algorithmic framework, which extends to the random settings many existing projection schemes, designed for the general convex feasibility problem. Our general random projection algorithm allows to project simultaneously on several sets, thus providing great flexibility in matching the implementation of the algorithm on the parallel architecture at hand. Based on the conditioning parameters, besides the asymptotic convergence results, we also derive explicit sublinear and linear convergence rates for this general algorithmic framework. Copyright © 2018, The Authors. All rights reserved.

关键词： Stochastic systems