Emerging mechatronic applications aim to work at limit performance and reliability while their size and operational space is getting restricted more and more. To reach those targets, often fast integration of customiz...
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the paper presents a proposal of using a full state proportional controller in Adaptive Cruise control (ACC) systems. A full state proportional controller is one of the simplest controllers used in automation systems....
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the paper presents a proposal of using a full state proportional controller in Adaptive Cruise control (ACC) systems. A full state proportional controller is one of the simplest controllers used in automation systems. Its advantage is based on the fact that there is no additional dynamics, which makes the state of a closed system unchanged. the article proposes a method of a numerical search for optimum parameters of the controller to ensure asymptotic stability of a closed system. the correctness of the proposed solutions was verified via computer simulations.
In the paper we propose a novelty method of the variable-, fractional-order (VFO) multi - input multi -output (MIMO) discrete-time linear system description. Although the description is based on block matrices each in...
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In the paper we propose a novelty method of the variable-, fractional-order (VFO) multi - input multi -output (MIMO) discrete-time linear system description. Although the description is based on block matrices each in upper triangular form it has many common features withthe matrix transfer functions and matrix-fraction descriptions of multivariable systems. Selected properties of the proposed matrices are given. the investigations are supported by an example.
Advanced driving-assistance systems (ADAS) have become more popular and received more aid in automotive business. ADAS systems evolution requires more efforts to prepare efficient and reliable systems. Because of safe...
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Advanced driving-assistance systems (ADAS) have become more popular and received more aid in automotive business. ADAS systems evolution requires more efforts to prepare efficient and reliable systems. Because of safety restrictions we need to validate systems by driving over several million kilometers in different conditions. that is why research, development and verification processes are highly required. the best solution to solve this problem are computer simulations. Application of digital scenarios saves time, money and human resources. there are many simulators which are developed by automotive companies. In our paper we would like to present set of simulators which are used to simulate and validate camera sensors, control and path planning algorithms for ADAS. Our tools are able to simulate/emulate vehicle components and road environment elements. However, mainly in case of ADAS systemsthis is a difficult task. Our paper presents approaches the methodology of virtual simulations [1].
In the paper the problem of action recognition withthe help of Markov models is considered. We propose an algorithm aiming at reduction of the false positive rate. We state a hypothesis that these errors are caused b...
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In the paper the problem of action recognition withthe help of Markov models is considered. We propose an algorithm aiming at reduction of the false positive rate. We state a hypothesis that these errors are caused by learning gesture sequences representing rare movements and not that containing popular ones. Our algorithm translates the sequence of gestures into the corresponding Markov models which are used for a preliminary classification. the obtained evaluation coefficients (numbers of proper classifications) are then used to determine the best weights in a combined model composed of these models. In order to find a compromise between the number of true positives and the number of false positives, the power function of weights is examined.
the questions of search of ergonomic reserves of efficiency of computersystems of processing information and control are considered. A set of models of a computer system of processing information and control, describ...
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ISBN:
(数字)9783319999722
ISBN:
(纸本)9783319999722;9783319999715
the questions of search of ergonomic reserves of efficiency of computersystems of processing information and control are considered. A set of models of a computer system of processing information and control, describing it in the necessary sections, was developed. the results can be useful in design of information provision for Decision Support systems, devoted to questions of programs ergonomic quality of automated systems.
Emerging mechatronic applications aim to work at limit performance and reliability while their size and operational space is getting restricted more and more. To reach those targets, often fast integration of customiz...
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Emerging mechatronic applications aim to work at limit performance and reliability while their size and operational space is getting restricted more and more. To reach those targets, often fast integration of customized components is necessary, either electronic systems, SW modules, sensors or actuators. Such diverse set of components needs special tool-chains and methods for fast customization and optimization respecting MBSE (model based system engineering) principles. Large-scale I-MECH project is a natural, fully industry driven initiative trying to follow those demands. the purpose of this paper is to describe its core scientific content, report initial milestones and show a variety of application where I-MECH components, so called building blocks, are being applied.
Motion controlsystems with distributed architecture where multiple input/output devices are connected to the upper layer controller by fast digital communication (fieldbus) became an industrial standard. this paper p...
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Motion controlsystems with distributed architecture where multiple input/output devices are connected to the upper layer controller by fast digital communication (fieldbus) became an industrial standard. this paper presents design of a modular input/output device which can process signals from multiple sensors, drive multiple actuators and act as a Slave or Master node in EtherCAT fieldbus network. User-defined algorithms can be easily implemented to preprocess input signals, combine multiple signals or close local control loops with extremely high sampling rates which makes the difference to standard off-the-shelf solutions. To meet these requirements and simplify hardware design, our device is based on System-on-Chip with both programmable logic (FPGA) and classic processor (CPU) ARM cores. Data processing including user algorithms can be done entirely in FPGA which provides very low latency and no jitter, and also on CPU for more complex computations with advantage of tight integration between FPGA and CPU. In this paper we provide description of hardware design, system architecture and typical applications.
Why doesn't my code work? Instructors for introductory programming courses frequently are asked that question. Often students understand the problem they are trying to solve well enough to specify a variety of inp...
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the use of the multiscale generalized radial basis function (MSRBF) network for image feature extraction is proposed for the first time. the MSRBF network holds a simple but flexible structure capable to modelling com...
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ISBN:
(纸本)9781862203426
the use of the multiscale generalized radial basis function (MSRBF) network for image feature extraction is proposed for the first time. the MSRBF network holds a simple but flexible structure capable to modelling complex systems. However MSRBF is originally designed to identify observational-type input-output systems. We aim to use this efficient network to get to concise but accurate models of digital images thanks to: a) the use of multiple scales in the RBF kernel width, and b) the adoption of the forward regression orthogonal least squares (FROLS) algorithm to refine the model structure selection. thereafter the new tailored model is excited to produce output signals aimed at be compressed by the discrete cosine transform (DCT), adopted in this work to compact signals' energy into a few coefficients. To recognise images as MSRBF networks, a mathematical modelling was done by considering the first ones as multiple-input single-output systems. Based on the new methodology a novel computer aided diagnosis (CAD) system for cancer detection in X-ray mammograms was designed. Classification results show that the new CAD method helped reach a competitive diagnostic accuracy of 93.5%. It was similarly found that the MSRBF network is able to construct tailored and precise image models.
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