The main goal of the paper is to provide a drawn up methodic for proposal of technical system optimization in terms of maximizing its reliability at given sum of financial costs or minimizing finance to achieve set re...
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This paper discusses the problem of effective motion planning for industrial robots. The first part dealt with current method for off-line motion planning. In the second part the presented work is done by one of the s...
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A basic control course is taught for electrical engineering students at the University of Debrecen, Hungary. Through two semesters the students get a basic knowledge on control concepts. Every week there are 2 hours o...
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Nowadays, the achievement of proper steel billets temperature profile is not the only design priority of induction heaters for hot forming applications. Due to its high operating costs, its design is constantly improv...
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Applications often have consistency requirements beyond those guaranteed by the underlying eventually consistent storage system. In this work, we present an approach that guarantees monotonic read consistency and read...
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Applications often have consistency requirements beyond those guaranteed by the underlying eventually consistent storage system. In this work, we present an approach that guarantees monotonic read consistency and read your writes consistency by running a special middleware component on the same server as the application. We evaluate our approach using both simulation and real world experiments on Cloud storage systems.
This paper presents an adaptive-predictive vibration control system using extended Kalman filtering for the joint estimation of system states and model parameters. A fixed-free cantilever beam equipped with piezoceram...
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ISBN:
(纸本)9781629931500
This paper presents an adaptive-predictive vibration control system using extended Kalman filtering for the joint estimation of system states and model parameters. A fixed-free cantilever beam equipped with piezoceramic actuators is used to test the proposed control strategy. Deflection readings taken at the end of the beam are used to reconstruct position and velocity information for a second order state-space system. In addition to the system states, the dynamic model is augmented by the unknown model parameters: stiffness, damping constant and a voltage/force conversion constant;characterizing the actuating effect of the piezoceramic transducers. The states and parameters of this augmented system are estimated in real-time, using a continuous-discrete hybrid extended Kalman filter. The estimated model parameters are used to reconstruct the continuous state-space model of the vibrating system, which in turn is discretized for the predictive controller. The model predictive control algorithm generates state predictions and infinite-horizon quadratic cost prediction matrices based on the updated discrete state-space models. The resulting cost function is then minimized using quadratic programming to find the sequence of optimal but constrained control inputs, from which only the first is utilized in a form of a control voltage send to the piezo actuators, the rest is discarded and the procedure is repeated at the next sampling instant. The proposed active vibration control system is implemented and evaluated experimentally to validate the viability of the control method.
Compute clouds are pools of virtual machines that are shared in a multi-tenant environment by multiple users. The virtual machine images are stored in one or more repositories and are pre-configured with an operating ...
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Compute clouds are pools of virtual machines that are shared in a multi-tenant environment by multiple users. The virtual machine images are stored in one or more repositories and are pre-configured with an operating system. Users of the compute cloud can upload their own images or install and configure additional software on top of existing basic virtual machines. Today, the Amazon Elastic Compute Cloud (EC2) counts more than 35,000 publicly available virtual machine images. We observe, however, that the meta-data that describes the virtual machine images is of poor quality and does not cover vital information such as operating system configurations or software package installations. The sprawl of poorly documented virtual machine images poses a hurdle to sharing and re-use among members of the compute cloud community. We present a method that allows collecting software-related meta-data in compute clouds through appliance introspection. Moreover, we show how applications in the domains of selection and configuration management benefit from rich meta-data and interact with the method. The method has been implemented as an automated tool, the crawler, that collects configuration data of virtual machine images in public compute clouds and evaluated our approach by crawling Amazon EC2.
Recent developments in the area of industrial programing software expand the potential of the automation programs considerably. In addition to IEC 61131-3 languages, programming languages like C and C++ are getting av...
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The aim of this paper is to present a nonlinear model-based predictive control (NMPC) for air-fuel ratio (AFR) of spark ignited (SI) engines. Complexity of NMPC implementation causes that the computational requirement...
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ISBN:
(纸本)9781479909261
The aim of this paper is to present a nonlinear model-based predictive control (NMPC) for air-fuel ratio (AFR) of spark ignited (SI) engines. Complexity of NMPC implementation causes that the computational requirements on storage space and online computation time have to be considered in the controller design. Especially a limitation on computation time makes often the optimal control law too complex to be implemented and some suboptimal solution has to be provided to meet the requirements. The point of the paper is to present the controller which utilizes the simplified control problem in a warm-start technique and allows to decrease the online computational effort caused by the nonlinear predictive controller.
Business Process Management (BPM) is an important tool for companies to cope with today's competitive market situation. One current mean to gain a competitive edge is through integrating social networks and softwa...
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Business Process Management (BPM) is an important tool for companies to cope with today's competitive market situation. One current mean to gain a competitive edge is through integrating social networks and software into BPM. But though knowledge and skills in this particular area are highly demanded by enterprises there is still a lack of sufficient teaching concepts. Universities typically only offer functional courses without considering the communication and social aspects of BPM. This paper describes a single course unit for BPM at universities disseminating not only theoretical knowledge but also practical application and communication skills. Additionally, problem-based learning and role play simulation have been identified as pedagogical foundations. This Social BPM Lab is based on the Horus Method which comprises relevant aspects of Business Process Management and fosters interactions between students through social media in a lab context. First evaluations show that the lab increases students' involvement and understanding of the connections between BPM theory and practice.
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