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检索条件"任意字段=Proceedings First Int Conf Event Based Control Commu Signal Processing"

共 45 条记录，以下是31-40 订阅

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Distributed event-triggered Output Feedback control with Cloud-assisted Observer 1

Distributed Event-triggered Output Feedback Control with Clo...

引用

proceedings first int conf event based control commu signal processing

作者： Fujita, Kohei Ushio, Toshimitsu Osaka Univ Grad Sch Engn Sci Suita Osaka 565 Japan

ISBN: (纸本)9781467378888

Recent rapid development of information and communication technology enables cloud computing to be utilized in many engineering applications. A state estimation of a large-scale system consisting of several subsystems needs a large amount of computational resources. So, this paper proposes an observer that estimates all states of the system using cloud computing. We will call such an observer a cloud-assisted observer. A data network is used to transmit outputs of the subsystems from local sensors to the observer and control inputs from the observer to local actuators. To reduce the amount of the data transmission, we propose a distributed event-triggered control method, where two kinds of triggering mechanisms are used: one for local sensors and the other for the observer. Then, we show that the input-to-state stability of the extended system consisting of the controlled large-scale system and the observer. In addition, we show that triggering periods of all subsystems and the cloud-assisted observer bounded below by positive constants. Finally, we perform a simulation to show the input-to-state stability of the extended system.

关键词： Cloud computing control systems Large-scale systems Observers Sensors Stability analysis

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event-based and time-triggered energy consumption data acquisition in building automation 1

Event-based and time-triggered energy consumption data acqui...

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proceedings first int conf event based control commu signal processing

作者： Jachimski, Marcin Mikos, Zbigniew Wrobel, Grzegorz Hayduk, Grzegorz Kwasnowski, Pawel AGH Univ Sci & Technol Dept Power Elect & Energy Control Syst Krakow Poland

ISBN: (纸本)9781467378888

control systems in building automation influence achieved energy efficiency of the buildings. One of the measures that is used by control systems is electric energy usage. The paper deals with the subject of automatic data acquisition of electricity consumption not only for the purpose of accounting the energy consumers, but also for using these data in building control systems in order to achieve better building energy efficiency. event-based and time-triggered energy consumption data acquisition was taken into account and compared. Accuracy, average data transmission load and possible delays were investigated. Three simple assessment factors (called influence and benefits factors): resolution change factor, average data rate change factor and data transmission density change factor were proposed for evaluation of above parameters. For the purpose of research, dedicated computing method of converting actual electricity meter readings data set to: (1) time triggered data sets with various periods (resampling) and (2) send-on delta data sets with various energy deltas, was also developed.

关键词： event-driven data acqusition automatic meter reading send-on-delta readings time periodic readings energy consumption building automation smart grid BACS

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Trace-based Simulation Framework Combining Message-based and Shared-Memory interactions in a Time-Triggered Platform 1

Trace-based Simulation Framework Combining Message-Based and...

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proceedings first int conf event based control commu signal processing

作者： Owda, Zaher Obermaisser, Roman Univ Siegen D-57068 Siegen Germany

ISBN: (纸本)9781467378888

Multi-Processor Systems-on-a-Chip (MPSoC) based on time-triggered on-chip networks facilitate fault isolation, temporal predictability and mixed-criticality integration. In mixed-criticality systems, a shared memory can be realized on top of time-triggered message passing to effectively support heterogeneous applications with different interaction paradigms. This paper presents a simulation environment of such an MPSoC combining message-based and shared-memory interactions. We present SystemC simulation building blocks for the application cores, network interfaces and the time-triggered network-on-a-chip. The behavior of the application cores is described by Transaction-Level Modeling (TLM). We generate traces from the application software or from benchmarks, which serve as input for the access to the network interfaces. The simulation framework is evaluated using a realistic case study based on SPLASH-2 and PARSEC application benchmarks. The simulation framework is essential for early validation and design space exploration of mixed-criticality systems. The high abstraction level provided by TLM and traces ensures high simulation speeds.

关键词： Benchmark testing Computational modeling Logic gates Multicore processing Network-on-chip Schedules Sockets

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Optimal-Sampling-inspired Self-Triggered control 1

Optimal-Sampling-inspired Self-Triggered Control

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proceedings first int conf event based control commu signal processing

作者： Velasco, Manel Marti, Pau Bini, Enrico Univ Politecn Cataluna Dept Automat Control E-08028 Barcelona Spain Scuola Super Sant Anna Pisa Italy

ISBN: (纸本)9781467378888

Self-triggered control is an appealing sampling strategy that promises to preserve the same control performance as traditional (periodic) sampling, yet consuming less computing resource by executing the controller less frequently. While the stability of self-triggered controllers is often addressed, their capacity to actually reduce the cost is more difficult to be evaluated. Inspired by a recent result on the optimal density of the sampling instants that minimizes the control cost, in this paper we propose a new self-triggered control strategy. The proposed sampling rule is extremely simple and effective. Significant cost reductions compared to the optimal periodic controller are shown even with larger minimum intersample separation. Thanks to the simplicity of the sampling rule, we also implemented the proposed self-triggered controller over a physical plant. The experimental results are aligned with the theoretical ones.

关键词： Aerospace electronics Approximation methods Eigenvalues and eigenfunctions MIMICs Resource management Sampling methods Standards

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IR real-time Analyses for PV system monitoring by Digital Image processing Techniques 1

IR real-time Analyses for PV system monitoring by Digital Im...

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proceedings first int conf event based control commu signal processing

作者： Aghaei, M. Gandelli, A. Grimaccia, F. Leva, S. Zich, R. E. Politecn Milan Dept Energy Milan Italy

ISBN: (纸本)9781467378888

PV modules as main component of PV system might be subjected to various internal or external stresses hence monitoring and maintenance are a crucial issue to assure PV module lifetime and appropriate energy performance. Current experimental research proposes an applicable approach of digital image processing technique in PV module inspection by thermography assessment. For this purpose, an algorithm was designed to perform IR images analysis. The monitoring was performed in order to detect defects and failures due to particular events on the PV systems by thermography analysis. The investigation was carried out by mounted IR thermo-camera (Flir A35) on a light Unmanned Aerial System (UAS) in Solar Tech Laboratory. The captured IR-images have been processed by proposed algorithm to determine specific defect and degradation percentage. The results have proven that digital image processing technique is very useful and reliable for IR-image analysis to identify possible defects during the PV module inspection procedure.

关键词： Photovoltaic (PV) solar energy PV systems Digital image processing Thermography analysis Unmanned Aerial System (UAS) IR analysis

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Miniaturized Sun Sensor with In-Pixel processing for Attitude Determination of Micro Space Probes 1

Miniaturized Sun Sensor with In-Pixel Processing for Attitud...

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proceedings first int conf event based control commu signal processing

作者： Farian, Lukasz Hafliger, Philipp Lenero-Bardallo, Juan A. Univ Oslo Dept Informat Nanoelect Grp N-0316 Oslo Norway

ISBN: (纸本)9781467378888

This work presents a novel concept for a miniaturized two-axis asynchronous Sun sensor which will be a part of a sounding rocket- and micro-probe Attitude Determination System. The sensor is composed of only two lines of bio-inspired pixels performing asynchronous in-pixel parallel processing, and two optical slits aligned above the chip. The Sun location is determined with much higher temporal resolution than synchronous sensors could achieve. Furthermore, the sensor output data directly indicates the Sun's position, without the need for any further processing (except initial calibration procedure). Also the power consumption is expected to be small in comparison to traditional Sun sensors, thanks to abandoning the need for a clock. This approach occupies much less area than previously reported Sun sensors. Hence, the remaining chip area can be used to realise a system-on-chip integrating other sensor interfaces, and processing- and communication units. This allows a high degree of integration and miniaturization which is essential for the planned micro-probe application. The simulations proved the Sun sensor to have temporal resolution of 1ms, standby power consumption of only a few pico-Watts and achieved a resolution of approximate to 0.5 degrees.

关键词： Optical sensors Photoconductivity Photodiodes Sensor arrays Sun

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Bioinspired event-driven collision avoidance algorithm based on optic flow 1

Bioinspired event-driven collision avoidance algorithm based...

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proceedings first int conf event based control commu signal processing

作者： Milde, Moritz B. Bertrand, Olivier J. N. Benosman, Ryad Egelhaaf, Martin Chicca, Elisabetta Univ Bielefeld Cognit Interact Technol Ctr Excellence Bielefeld Germany Univ Bielefeld Neurobiol Bielefeld Germany Univ Paris 06 Inst Vis Paris France Univ Bielefeld Fac Technol Bielefeld Germany

ISBN: (纸本)9781467378888

Any mobile agent, whether biological or robotic, needs to avoid collisions with obstacles. Insects, such as bees and flies, use optic flow to estimate the relative nearness to obstacles. Optic flow induced by ego-motion is composed of a translational and a rotational component. The segregation of both components is computationally and thus energetically expensive. Flies and bees actively separate the rotational and translational optic flow components via behaviour, i.e. by employing a saccadic strategy of flight and gaze control. Although robotic systems are able to mimic this gaze-strategy, the calculation of optic-flow fields from standard camera images remains time and energy consuming. To overcome this problem, we use a dynamic vision sensor (DVS), which provides event-based information about changes in contrast over time at each pixel location. To extract optic flow from this information, a plane-fitting algorithm estimating the relative velocity in a small spatio-temporal cuboid is used. The depth-structure is derived from the translational optic flow by using local properties of the retina. A collision avoidance direction is then computed from the event-based depth-structure of the environment. The system has successfully been tested on a robotic platform in open loop.

关键词： Biomedical optical imaging Collision avoidance Optical computing Optical imaging Optical sensors Robots Voltage control

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Impedance control of a Robot Needle with a Fiber Optic Force Sensor 13

Impedance Control of a Robot Needle with a Fiber Optic Force...

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13th IEEE international conference on signal processing (ICSP)

作者： Xiao, Lifang Yang, Tangwen Huo, Benyan Zhao, Xingang Han, Jianda Xu, Weiliang Beijing Jiaotong Univ Inst Informat Sci Beijing 100044 Peoples R China Beijing Key Lab Adv Informat Sci & Network Techno Beijing 100044 Peoples R China Chinese Acad Sci Shenyang Inst Automat State Key Lab Robot Shenyang Liaoning Peoples R China Univ Auckland Dept Mech Engn Auckland New Zealand

ISBN: (纸本)9781509013456

In this paper, an impedance control is proposed for a robotic needle with a fiber optic force sensor. The fiber optic force sensor is placed at the tip of the needle to directly measure the interaction force between needle and soft tissue, overcoming the noise like friction force. The sensor is sensitive to the temperature condition, and their relationship is first established, and then used to compensate for the temperature influence to enhance the force measurement. An impedance control is presented based on insertion model whose impedance parameters are identified in terms of acquired test data, and experimental results show that the control strategy is effective to avoid excessive insertion force, reducing the risk of robotic needle.

关键词： robotic needle impedance control fiber optic force sensor temperature compensation

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A Bayesian Decision Classification Method for Multiple Categories 13

A Bayesian Decision Classification Method for Multiple Categ...

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13th IEEE international conference on signal processing (ICSP)

作者： Jiang, Ying Wang, Yanjiang China Univ Petr Coll Informat & Control Engn Qingdao Peoples R China

ISBN: (纸本)9781509013456

In this paper, we propose a novel multiple categories classification approach based on the Bayesian decision classification method using the dense SIFT feature. first, the dense scale invariant feature transform (SIFT) feature for each image belonging to various categories is extracted as image representation. Second, the statistical models for multiple categories are established by estimating the conditional PDFs (probability density functions). Each category is modeled to follow the multivariate normal distribution, respectively. Finally, we classify the probe images to the category with the maximum posterior probability under the Bayesian framework. Experimental results on three databases demonstrate the performance of the proposed method.

关键词： dense SIFT Bayesian decision statistical modeling image classification category detection

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Feature Space Reduction for Human Activity Recognition based on Multi-channel Biosignals 14

Feature Space Reduction for Human Activity Recognition based...

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14th international Joint conference on Biomedical Engineering Systems and Technologies (BIOSTEC) / 14th int conf on Bio-inspired Systems and signal processing (BIOsignalS) / 14th int conf on Biomedical Electronics and Devices (BIODEVICES)

作者： Hartmann, Yale Liu, Hui Schultz, Tanja Univ Bremen Cognit Syst Lab Bremen Germany

ISBN: (纸本)9789897584909

In this paper, we study the effect of Feature Space Reduction for the task of Human Activity Recognition (HAR). For this purpose, we investigate a Linear Discriminant Analysis (LDA) trained with Hidden Markov Models (HMMs) force-aligned targets. HAR is a typical application of machine learning, which includes finding a lower-dimensional representation of sequential data to address the curse of dimensionality. This paper uses three datasets (CSL19, UniMiB, and CSL18), which contain data recordings from humans performing more than 16 everyday activities. Data were recorded with wearable sensors integrated into two devices, a knee bandage and a smartphone. first, early-fusion baselines are trained, utilizing an HMM-based approach with Gaussian Mixture Models to model the emission probabilities. Then, recognizers with feature space reduction based on stacking combined with an LDA are evaluated and compared against the baseline. Experimental results show that feature space reduction improves balanced accuracy by ten percentage points on the UniMiB and seven points on the CSL18 datasets while remaining the same on the CSL19 dataset. The best recognizers achieve 93.7 +/- 1.4% (CSL19), 69.5 +/- 8.1% (UniMiB), and 70.6 +/- 6.0% (CSL18) balanced accuracy in a leave-one-person-out cross-validation.

关键词： Human Activity Recognition Biosignals Multi-channel signal processing Feature Space Reduction Stacking

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