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Tytuł:
Adptive heading control of underactuated unmanned surface vehicle based on improved backpropagation neural network
Autorzy:
Dong, Zaopeng
Li, Jiakang
Liu, Wei
Zhang, Haisheng
Qi, Shijie
Zhang, Zhengqi
Powiązania:
https://bibliotekanauki.pl/articles/32917278.pdf
Data publikacji:
2023
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
underactuated unmanned surface vehicle
backpropagation neural network controller
heading control
hyperbolic tangent function
Opis:
Aiming at the challenges to the accurate and stable heading control of underactuated unmanned surface vehicles arising from the nonlinear interference caused by the overlay and the interaction of multi interference, and also the uncertainties of model parameters, a heading control algorithm for an underactuated unmanned surface vehicle based on an improved backpropagation neural network is proposed. Based on applying optimization theory to realize that the underactuated unmanned surface vehicle tracks the desired yaw angle and maintains it, the improved momentum of weight is combined with an improved tracking differentiator to improve the robustness of the system and the dynamic property of the control. A hyperbolic tangent function is used to establish the nonlinear mappings an approximate method is adopted to summarize the general mathematical expressions, and the gradient descent method is applied to ensure the convergence. The simulation results show that the proposed algorithm has the advantages of strong robustness, strong anti-interference and high control accuracy. Compared with two commonly used heading control algorithms, the accuracy of the heading control in the complex environment of the proposed algorithm is improved by more than 50%.
Źródło:
Polish Maritime Research; 2023, 1; 54-64
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Classification of Parkinsons disease in brain MRI images using Deep Residual Convolutional Neural Network (DRCNN)
Autorzy:
Praneeth, Puppala
Sathvika, Majety
Kommareddy, Vivek
Sarath, Madala
Mallela, Saran
Vani, K. Suvarna
Chkrabarti, Prasun
Powiązania:
https://bibliotekanauki.pl/articles/30148251.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
Parkinson’s disease
Deep Residual Convolutional Neural Network
deep learning
health control
Opis:
In our aging culture, neurodegenerative disorders like Parkinson's disease (PD) are among the most serious health issues. It is a neurological condition that has social and economic effects on individuals. It happens because the brain's dopamine-producing cells are unable to produce enough of the chemical to support the body's motor functions. The main symptoms of this illness are eyesight, excretion activity, speech, and mobility issues, followed by depression, anxiety, sleep issues, and panic attacks. The main aim of this research is to develop a workable clinical decision-making framework that aids the physician in diagnosing patients with PD influence. In this research, the authors propose a technique to classify Parkinson’s disease by MRI brain images. Initially, the input data is normalized using the min-max normalization method, and then noise is removed from the input images using a median filter. The Binary Dragonfly algorithm is then used to select features. In addition, the Dense-UNet technique is used to segment the diseased part from brain MRI images. The disease is then classified as Parkinson's disease or health control using the Deep Residual Convolutional Neural Network (DRCNN) technique along with the Enhanced Whale Optimization Algorithm (EWOA) to achieve better classification accuracy. In this work, the Parkinson's Progression Marker Initiative (PPMI) public dataset for Parkinson's MRI images is used. Indicators of accuracy, sensitivity, specificity and precision are used with manually collected data to evaluate the effectiveness of the proposed methodology.
Źródło:
Applied Computer Science; 2023, 19, 2; 125-146
1895-3735
2353-6977
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Effect of ship neural domain shape on safe and optimal trajectory
Autorzy:
Lisowski, J.
Powiązania:
https://bibliotekanauki.pl/articles/24201475.pdf
Data publikacji:
2023
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
artificial neural network model
method for optimization
dynamic programming method
ship safety domain
safe ship control
path planning
multi-object decision model
computer simulation
Opis:
This article presents the task of safely guiding a ship, taking into account the movement of many other marine units. An optimally neural modified algorithm for determining a safe trajectory is presented. The possible shapes of the domains assigned to other ships as traffic restrictions for the particular ship were subjected to a detailed analysis. The codes for the computer program Neuro-Constraints for generating these domains are presented. The results of the simulation tests of the algorithm for a navigational situation are presented. The safe trajectories of the ship were compared at different distances, changing the sailing conditions and ship sizes.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2023, 17, 1; 185--191
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Event-triggered adaptive neural network trajectory tracking control for underactuated ships under uncertain disturbance
Autorzy:
Su, Wenxue
Zhang, Qiang
Liu, Yufeng
Powiązania:
https://bibliotekanauki.pl/articles/34611659.pdf
Data publikacji:
2023
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
event-triggered control
underactuated marine surface vessels
adaptive neural network
trajectory tracking
finite-time
Opis:
An adaptive neural network (NN) event-triggered trajectory tracking control scheme based on finite time convergence is proposed to address the problem of trajectory tracking control of underdriven surface ships. In this scheme, both NNs and minimum learning parameters (MLPS) are applied. The internal and external uncertainties are approximated by NNs. To reduce the computational complexity, MLPs are used in the proposed controller. An event-triggered technique is then incorporated into the control design to synthesise an adaptive NN-based event-triggered controller with finite-time convergence. Lyapunov theory is applied to prove that all signals are bounded in the tracking system of underactuated vessels, and to show that Zeno behavior can be avoided. The validity of this control scheme is determined based on simulation results, and comparisons with some alternative schemes are presented.
Źródło:
Polish Maritime Research; 2023, 3; 119-131
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modernising the control network for determining displacements in hydraulic structures using automatic measurement techniques
Autorzy:
Zaczek-Peplinska, Janina
Saloni, Lech
Powiązania:
https://bibliotekanauki.pl/articles/28411637.pdf
Data publikacji:
2023
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
automatic measurement
control network
dams
engineering geodesy
geodetic displacement measurement
LiDAR
Opis:
Over the last two decades, geodetic surveying has seen significant advancements with terrestrial and unmanned aerial vehicle (UAV) laser scanning, alongside automatic observations being increasingly utilised throughout the construction process. In the context of dam structures, periodic geodetic displacement measurements are a compulsory component of control measurements and safety assessments. In Poland, however, control measurements have largely remained rooted in traditional techniques such as classic linear and angular measurements and precise levelling. These methods are typically carried out within distinct control networks, i.e. without dual-function observation points and targets. Furthermore, network points (pillars, targets) have often not been renewed since their installation several decades ago, and glass discs, used for crown measurements in the baseline method, frequently face damage. Changes in property ownership and modifications in environmental regulations are compounded by these issues, which often impede the proper upkeep of the sight line. The article proposes the adaptation and reconstruction of control networks to incorporate automatic observation techniques, including linear and angular measurements. This approach includes activities aimed at reconstructing and supplementing damaged network structures, modernising the geodetic process of determining structure displacements, and enhancing the accuracy, credibility, and reliability of geodetic displacement measurement results. The article presents the findings of an inventory assessment conducted on the existing control network infrastructure, focusing on the analysis of displacements for structures with diverse constructions and functions - a concrete dam (class I) and a water damming weir with a water intake. Furthermore, it presents practical conclusions regarding the efficient organisation of geodetic control measurements.
Źródło:
Journal of Water and Land Development; 2023, 59; 66--75
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Network optimality conditions
Autorzy:
Osmolovskii, Nikolai P.
Qian, Meizhi
Sokołowski, Jan
Powiązania:
https://bibliotekanauki.pl/articles/31343935.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
network
optimal control problem
weak local minimum
Pontryagin’s maximum principle
critical cone
quadratic form
second order optimality conditions
Riccati equation
Opis:
Optimality conditions for optimal control problems arising in network modeling are discussed. We confine ourselves to the steady state network models. Therefore, we consider only control systems described by ordinary differential equations. First, we derive optimality conditions for the nonlinear problem for a single beam. These conditions are formulated in terms of the local Pontryagin maximum principle and the matrix Riccati equation. Then, the optimality conditions for the control problem for networks posed on an arbitrary planar graph are discussed. This problem has a set of independent variables xi varying within their intervals [0, li], associated with the corresponding beams at network edges. The lengths li of intervals are not specified and must be determined. So, the optimization problem is non-standard, it is a combination of control and design of networks. However, using a linear change of the independent variables, it can be reduced to a standard one, and we show this. Two simple numerical examples for the single-beam problem are considered.
Źródło:
Control and Cybernetics; 2023, 52, 2; 129-180
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Robust estimation based nonlinear higher order sliding mode control strategies for PMSG-WECS
Autorzy:
Nazir, Awais
Khan, Safdar Abbas
Khan, Malak Adnan
Alam, Zaheer
Khan, Imran
Irfan, Muhammad
Rehman, Saifur
Nowakowski, Grzegorz
Powiązania:
https://bibliotekanauki.pl/articles/27311430.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
wind energy conversion systems
WECS
robust control
maximum power point tracking
MPPT
sliding mode control
SMC
super-twisting algorithm
STA
high gain observer
artificial neural network
ANN
function fitting
backstepping
śledzenie maksymalnego punktu mocy
obserwator o dużym wzmocnieniu
sztuczna sieć neuronowa
dopasowanie funkcji
system konwersji energii wiatrowej
sterowanie odporne
sterowanie ślizgowe
algorytm super skręcania
Opis:
The wind energy conversion systems (WECS) suffer from an intermittent nature of source (wind) and the resulting disparity between power generation and electricity demand. Thus, WECS are required to be operated at maximum power point (MPP). This research paper addresses a sophisticated MPP tracking (MPPT) strategy to ensure optimum (maximum) power out of the WECS despite environmental (wind) variations. This study considers a WECS (fixed pitch, 3KW, variable speed) coupled with a permanent magnet synchronous generator (PMSG) and proposes three sliding mode control (SMC) based MPPT schemes, a conventional first order SMC (FOSMC), an integral back-stepping-based SMC (IBSMC) and a super-twisting reachability-based SMC, for maximizing the power output. However, the efficacy of MPPT/control schemes rely on availability of system parameters especially, uncertain/nonlinear dynamics and aerodynamic terms, which are not commonly accessible in practice. As a remedy, an off-line artificial function-fitting neural network (ANN) based on Levenberg-Marquardt algorithm is employed to enhance the performance and robustness of MPPT/control scheme by effectively imitating the uncertain/nonlinear drift terms in the control input pathways. Furthermore, the speed and missing derivative of a generator shaft are determined using a high-gain observer (HGO). Finally, a comparison is made among the stated strategies subjected to stochastic and deterministic wind speed profiles. Extensive MATLAB/Simulink simulations assess the effectiveness of the suggested approaches.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2023, 71, 5; art. no. e147063
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Robust hybrid synchronization control of chaotic 3-cell CNN with uncertain parameters using smooth super twisting algorithm
Autorzy:
Siddique, Nazam
Rehman, Fazal
Raoof, Uzair
Iqbal, Shahid
Rashad, Muhammad
Powiązania:
https://bibliotekanauki.pl/articles/27311427.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
hybrid synchronization
cellular neural network
sliding mode control
smooth super twisting algorithm
Lyapunov stability theory
synchronizacja hybrydowa
sieć neuronowa komórkowa
sterowanie trybem przesuwnym
teoria Lyapunova
stabilność Lyapunova
algorytm super skręcania płynny
Opis:
This paper presents the control design framework for the hybrid synchronization (HS) and parameter identification of the 3-Cell Cellular Neural Network. The cellular neural network (CNN) of this kind has increasing practical importance but due to its strong chaotic behavior and the presence of uncertain parameters make it difficult to design a smooth control framework. Sliding mode control (SMC) is very helpful for this kind of environment where the systems are nonlinear and have uncertain parameters and bounded disturbances. However, conventional SMC offers a dangerous chattering phenomenon, which is not acceptable in this scenario. To get chattering-free control, smooth higher-order SMC formulated on the smooth super twisting algorithm (SSTA) is proposed in this article. The stability of the sliding surface is ensured by the Lyapunov stability theory. The convergence of the error system to zero yields hybrid synchronization and the unknown parameters are computed adaptively. Finally, the results of the proposed control technique are compared with the adaptive integral sliding mode control (AISMC). Numerical simulation results validate the performance of the proposed algorithm.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2023, 71, 5; art. no. e146474
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The detrimental effects of smartphone overuse: case study
Autorzy:
Elmansouri, Aouatif
Aboussaleh, Youssef
Samir, Bikri
Powiązania:
https://bibliotekanauki.pl/articles/28763520.pdf
Data publikacji:
2023-08-29
Wydawca:
Fundacja Edukacji Medycznej, Promocji Zdrowia, Sztuki i Kultury Ars Medica
Tematy:
Smartphone addiction
Behavioral addiction
Loss of control
Instant messaging
Social network sites
Health
Opis:
The use of multifunctional smartphones has changed lives in recent years and raised concerns around the world. The ability of smartphones to perform multiple tasks simultaneously is appealing. However, the total amount of time spent using smartphones every day is alarming, and excessive use might impact physical and mental health. The main goal is to determine the adequacy of the term “addiction” for excessive and problematic smartphone use. We present the case of Jalila, a 32-year-old woman who excessively uses her smartphone. We evaluate Jalila’s symptoms, noting that she spends about 9 hours per day on her smartphone. Jalila’s excessive cellphone use includes various addictive habits, such as instant chatting, watching YouTube videos, browsing the web, and visiting social media sites. The total amount of time she spends on these activities indicates a high degree of smartphone usage. When considered in its entirety, the smartphone, with all its functionalities, is a tool that can be used for all of these activities throughout the day. Jalila’s phone activities are primarily focused on community sites, and she uses her smartphone more than she intends to, indicating a loss of control that is affecting her health and well-being.
Źródło:
Acta Neuropsychologica; 2023, 21(3); 325-332
1730-7503
2084-4298
Pojawia się w:
Acta Neuropsychologica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A hybrid control strategy for a dynamic scheduling problem in transit networks
Autorzy:
Liu, Zhongshan
Yu, Bin
Zhang, Li
Wang, Wensi
Powiązania:
https://bibliotekanauki.pl/articles/2172126.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
service reliability
transit network
proactive control method
deep reinforcement learning
hybrid control strategy
niezawodność usług
sieć tranzytowa
uczenie głębokie
kontrola hybrydowa
Opis:
Public transportation is often disrupted by disturbances, such as the uncertain travel time caused by road congestion. Therefore, the operators need to take real-time measures to guarantee the service reliability of transit networks. In this paper, we investigate a dynamic scheduling problem in a transit network, which takes account of the impact of disturbances on bus services. The objective is to minimize the total travel time of passengers in the transit network. A two-layer control method is developed to solve the proposed problem based on a hybrid control strategy. Specifically, relying on conventional strategies (e.g., holding, stop-skipping), the hybrid control strategy makes full use of the idle standby buses at the depot. Standby buses can be dispatched to bus fleets to provide temporary or regular services. Besides, deep reinforcement learning (DRL) is adopted to solve the problem of continuous decision-making. A long short-term memory (LSTM) method is added to the DRL framework to predict the passenger demand in the future, which enables the current decision to adapt to disturbances. The numerical results indicate that the hybrid control strategy can reduce the average headway of the bus fleet and improve the reliability of bus service.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2022, 32, 4; 553--567
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Method of Optimal Design for the Base Network in Structural Deformation Monitoring at Song Hinh Hydroelectricity, Vietnam
Metoda optymalnego projektowania sieci bazowej w monitoringu deformacji konstrukcji w elektrowni wodnej Song Hinh, Wietnam
Autorzy:
Pham, Quoc Khanh
Powiązania:
https://bibliotekanauki.pl/articles/2172078.pdf
Data publikacji:
2022
Wydawca:
Polskie Towarzystwo Przeróbki Kopalin
Tematy:
plane control network
optimal design
residual level
engineering surveying
positional error
pozioma sieć kontrolna
optymalizacja projektu
poziom residuum
pomiary inżynierskie
błąd pozycji
Opis:
The article mentions a method of optimal design for the base network in horizontal displacement monitoring at hydroelectric works, based on the average residual level of the measured values. When the target function is the weakest positional error, the obtained result after optimizing is the unique plan that no depends on the designers and their experience. Thus, this is helpful for the production units because they no need to have experts in designing the network. Experiment for the base network of deformation monitoring at Song Hinh hydroelectricity shows that 44%, 50% and 60% of the initial measurement can be reduced when the average residual level is chosen 0.5, 0.4 and 0.3, respectively. The weakest position error of the network after optimizing is 2.4 mm, 2.5 mm and 2.6 mm, respectively, all are smaller than requirement ±3.6mm. This method is mainly applied for the side-angle network that was measured by total station, without considering the optimal design network in the priority direction.
W artykule przedstawiono metodę optymalnego projektowania sieci bazowej w monitoringu przemieszczeń poziomych elektrowni wodnych na podstawie średniego poziomu rezydualnego zmierzonych wartości. Gdy funkcją docelową jest najsłabszy błąd pozycjonowania, uzyskany wynik po optymalizacji jest unikalnym planem, który nie zależy od projektantów i ich doświadczenia. Jest to więc pomocne dla jednostek produkcyjnych, ponieważ nie potrzebują one ekspertów do projektowania sieci. Eksperyment dla podstawowej sieci monitorowania deformacji w elektrowni wodnej Song Hinh pokazuje, że 44%, 50% i 60% początkowego pomiaru można zmniejszyć, gdy średni poziom pozostałości zostanie wybrany odpowiednio 0,5, 0,4 i 0,3. Najsłabszy błąd pozycji sieci po optymalizacji wynosi odpowiednio 2,4 mm, 2,5 mm i 2,6 mm, wszystkie są mniejsze niż wymagane ±3,6 mm. Metodę tę stosuje się głównie dla sieci kątów bocznych, które zostały zmierzone przez tachimetr, bez uwzględnienia optymalnej sieci projektowej w kierunku pierwszeństwa.
Źródło:
Inżynieria Mineralna; 2022, 2; 13--20
1640-4920
Pojawia się w:
Inżynieria Mineralna
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Coverage control of mobile wireless sensor networks with distributed locations of high interest
Autorzy:
Hanindito, Rudy
Cahyadi, Adha Imam
Nugroho, Prapto
Powiązania:
https://bibliotekanauki.pl/articles/27314197.pdf
Data publikacji:
2022
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
mobile wireless sensor network
coverage control
interest function
Opis:
Formation control is an important part of any system that utilizes multiple mobile agents to achieve its parti‐ cular goals. One of those applications is the mobile wi‐ reless network sensor. This field has become increasingly more popular in recent times due to the advancement of technology, especially in the fields of miniaturization and telecommunications. The main problem of this research is the relatively untested sensing capability of a mobile wireless sensor network in an operating area that has dis‐ tributed and/or multiple locations of high interest. The purpose of this research is to discover the compatibility of a multiple‐agent coverage control system with several examples of interest functions that have multiple and/or distributed points of global maximum value in order to explore more thoroughly the performance of a given sy‐ stem in a varying environments.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 2; 74--80
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Does the ‘more appropriate’ authority need to be independent? Rule of law implications for case referrals with respect of concentrations
Autorzy:
Malaga, Miłosz
Powiązania:
https://bibliotekanauki.pl/articles/2158408.pdf
Data publikacji:
2022-09-12
Wydawca:
Uniwersytet Warszawski. Wydawnictwo Naukowe Wydziału Zarządzania
Tematy:
referrals of concentrations
national competition authority
regulator’s
independence
rule of law
EU merger regulation
control of concentrations
European Competition Network
effective judicial protection
internal market
Opis:
In the recent Sped-Pro judgment, the General Court ruled that in order to guarantee effective judicial protection of the complainant, the Commission is obliged to examine the given national competition authority’s independence, and overall rule of law concerns, when it rejects complaints regarding Article 102 TFEU and concludes that such an authority is ‘best placed’ to hear the case. This contribution aims to discuss whether such obligation applies to case referrals from the Commission to Member States with respect of concentrations. On one hand, these are the same national competition authorities and the same standards should apply. On the other – the case referral system differs from the characteristics of the Articles 101–102 TFEU framework. Thus, this paper contains a discussion on the General Court’s judgment in Sped-Pro, the legal framework and practice regarding merger referrals, and, finally, the consequences of the judgment for the future approach of the Commission in the discussed matter.
Dans le récent arrêt Sped-Pro, le Tribunal a jugé qu’afin de garantir une protection juridictionnelle efficace du plaignant, la Commission est tenue d’examiner l’indépendance de l’autorité nationale de la concurrence concernée, ainsi que les préoccupations générales en matière d’État de droit, lorsqu’elle rejette des plaintes au titre de l’article 102 du TFUE et conclut qu’une telle autorité est «mieux placée» pour connaître de l’affaire. Cette contribution vise à discuter si une telle obligation s’applique aux renvois d’affaires de la Commission aux États membres en matière de concentrations. D’une part, il s’agit des mêmes autorités nationales de concurrence et les mêmes standards devraient s’appliquer. D’autre part, le système de renvoi des affaires diffère des caractéristiques du cadre des articles 101 et 102 du TFUE. Ainsi, cet article discute de l’arrêt du Tribunal dans l’affaire Sped-Pro, du cadre juridique et de la pratique concernant les renvois en matière de concentrations et, enfin, des conséquences de l’arrêt pour l’approche future de la Commission dans la matière discutée.
Źródło:
Yearbook of Antitrust and Regulatory Studies; 2022, 15, 25; 109 - 136
1689-9024
2545-0115
Pojawia się w:
Yearbook of Antitrust and Regulatory Studies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fulfilment of the Essential Requirements of the Control-command and Signalling Trackside Subsystem on the Railway Infrastructure of Transhipment Terminals
Autorzy:
Gradowski, Paweł
Powiązania:
https://bibliotekanauki.pl/articles/2131839.pdf
Data publikacji:
2022
Wydawca:
Instytut Kolejnictwa
Tematy:
core network
comprehensive network
certification
control command
signalling subsystem
ETCS
GSM-R
sieć bazowa
sieć kompleksowa
certyfikacja
podsystem sterowanie
Opis:
The implementation of many railway investments indicates as the main goal increasing the efficiency of the railway system, and thanks to its features it becomes easier to integrate it in the competitive transport market. Increasing the integration of the transport sector is one of the cornerstones of the completion of the internal market and rail is an important part of the transport sector moving towards sustainable mobility. Th e modernized railway lines, which are part of the Trans-European Transport Network (TEN-T) or European Rail Traffic Management System (ERTMS) corridors, also constitute the network of rail freight corridors (RFC). Pursuant to the requirements of European law, setting the dates for implementing interoperability, the infrastructure of comprehensive networks will be forced to adapt to these requirements. Using the example of the control-command and signalling subsystem, this article outlines the scale of the problem related to the implementation of interoperability in relation to rail-road terminals constituting the comprehensive network of the RFC network.
Źródło:
Problemy Kolejnictwa; 2022, 194; 81--95
0552-2145
2544-9451
Pojawia się w:
Problemy Kolejnictwa
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Integrated fault-tolerant control of a quadcopter UAV with incipient actuator faults
Autorzy:
Kantue, Paulin
Pedro, Jimoh O.
Powiązania:
https://bibliotekanauki.pl/articles/2172129.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
fault tolerant control
quadrocopter
incipient actuator fault
radial basis function
neural network
sterowanie tolerujące uszkodzenia
kwadrokopter
radialna funkcja bazowa
sieć neuronowa
Opis:
An integrated approach to the fault-tolerant control (FTC) of a quadcopter unmanned aerial vehicle (UAV) with incipient actuator faults is presented. The framework is comprised of a radial basis function neural network (RBFNN) fault detection and diagnosis (FDD) module and a reconfigurable flight controller (RFC) based on the extremum seeking control approach. The dynamics of a quadcopter subject to incipient actuator faults are estimated using a nonlinear identification method comprising a continuous forward algorithm (CFA) and a modified golden section search (GSS) one. A time-difference-of-arrival (TDOA) method and the post-fault system estimates are used within the FDD module to compute the fault location and fault magnitude. The impact of bi-directional uncertainty and FDD detection time on the overall FTC performance and system recovery is assessed by simulating a quadcopter UAV during a trajectory tracking mission and is found to be robust against incipient actuator faults during straight and level flight and tight turns.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2022, 32, 4; 601--617
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 152

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