Wind turbines systems considered multivariable processes can work in several operational modes. Each mode can be represented with a dynamic model. This fact supposes a difficulty in controlling these types of systems....
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Wind turbines systems considered multivariable processes can work in several operational modes. Each mode can be represented with a dynamic model. This fact supposes a difficulty in controlling these types of systems. In addition, the models are subjected undesired interactions between variables. In this paper, different multivariable methodologies are proposed to deal with the previous problems when they are applied to a variable-speed variable-pitch wind turbine. Specifically, the proposed methods to be performed and compared are a multivariable robust control based on the H ∞ mixed sensitivity problem and multivariable control strategies with different decoupling networks.
The paper describes the high level abstract SystemC model of the multitask real time system. The authors put their main effort to obtain the highly time predictable system, The time predictability of real time embedde...
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The paper describes the high level abstract SystemC model of the multitask real time system. The authors put their main effort to obtain the highly time predictable system, The time predictability of real time embedded, electronic systems is identified and a concise survey of various approaches to the problem are given. The architecture of a single pipeline processor core with thread interleaving mechanism is emphasized. The scheduling algorithms that enable optimal utilization of the processing units are illustrated on examples. The main memory access control unit and the original memory system organization are described. Many simulation experiments conducted with single and multi-core system architecture implementation, allow obtaining results that prove advantages of the presented model.
Nowadays, novel construction materials, more efficient power supplies and advanced artificial intelligence algorithms allow one to use unmanned aerial vehicles (UAV) in various fields of life. One of the biggest event...
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ISBN:
(纸本)9781479987023
Nowadays, novel construction materials, more efficient power supplies and advanced artificial intelligence algorithms allow one to use unmanned aerial vehicles (UAV) in various fields of life. One of the biggest events promoting this idea is the Air Cargo Challenge (ACC) competition. In this paper the motivation for ACC participation and the overall procedure of CAD aided UAV design are presented. The nonlinear aircraft model as well as Computational Fluid Dynamic simulations are discussed. Finally, some details concerning designed UAV prototype are revealed.
In this paper, an adaptive control approach is proposed for performance of constrained robot end-effector movements in presence of uncertainty. In real-world scenarios, complex physical phenomena occuring at the place...
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ISBN:
(纸本)9781467371605
In this paper, an adaptive control approach is proposed for performance of constrained robot end-effector movements in presence of uncertainty. In real-world scenarios, complex physical phenomena occuring at the place of interaction may introduce nonlinearities in the system dynamics, which have to be taken into account for proper system control. We currently propose an Extremum Seeking (ES) Model Reference Adaptive control (MRAC) approach for state tracking of multiple-input multiple-output systems which enclose nonlinearities in their dynamics and involve parametric uncertainty by employing Adaptive Dynamic Inversion (ADI). According to ADI, system nonlinearities are assumed known and are taken into account in the design of the system control law. The proposed scheme is based on MRAC and ADI while the unknown controller parameters are adapted by ES control. The system is shown to achieve global and asymptotic reference state tracking under the proposed control law by performing Lyapunov and averaging analysis. The approach is evaluated in simulation and in an experimental robot task.
This paper proposes a method to compute finite abstractions that can be used for synthesizing robust hybrid control strategies for nonlinear systems. Most existing methods for computing finite abstractions utilize som...
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Ambient Intelligence is an active research field that studies embed- ding computing elements into the environment - Weiser's concept of disap- pearing computer. Practical experiments are complex to orchestrate, be...
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Ambient Intelligence is an active research field that studies embed- ding computing elements into the environment - Weiser's concept of disap- pearing computer. Practical experiments are complex to orchestrate, because of the technical expertise required in hardware, software engineering and machine learning. The entry barrier for running such an experiment is very high, requiring coordinated e orts at all levels in a research team, and an actual laboratory with sensors in order to collect the data. In this work, we show how the power of Amazon's EC2 cloud can be lever- aged in conjunction with a record and replay system for sensor data in order to allow researchers from anywhere in the world to run such experiments. The software infrastructure used for the experiments is open-source and freely available at https: // github. com/ ami-lab/ AmI-Platform . This platform is used in the AmI Laboratory (EF 210) of the University Po- litehnica of Bucharest.
Medical centres are obliged to store past medical records, including the results of quality assurance (QA) tests of the medical equipment, which is especially useful in checking reproducibility of medical devices and ...
Medical centres are obliged to store past medical records, including the results of quality assurance (QA) tests of the medical equipment, which is especially useful in checking reproducibility of medical devices and procedures. Analysis of multivariate time series is an important part of quality control of NMR data. In this work we proposean anomaly detection tool based on Reiteration of Hankel Singular Value Decomposition method. The presented method was compared with external software and authors obtained comparable results.
Problems of synthesizing modern control systems-Intelligent control Systems were researched. The original concepts of synthesizing Intelligent control Systems for dynamic objects were presented, which were developed b...
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Problems of synthesizing modern control systems-Intelligent control Systems were researched. The original concepts of synthesizing Intelligent control Systems for dynamic objects were presented, which were developed based on the P.K. Anokhin Functional Systems Theory. Various approaches on synthesis of perspective control systems for flight vehicles by utilizing Intelligent Elements were developed as well. Consequently, practical applications of Intelligent control Systems were thus illustrated by presenting examples of perspective Pseudo-intelligent control and Measurement Systems of flight vehicles. In the paper, all the functional structures proposed of Intelligent control Systems have great practical implementary values and can be applied for synthesis of various control systems for diverse dynamic objects.
This paper presents two Fault Detection and Isolation (FDI) methods for a brushless DC motor (BLDC) nanosatellite actuator. The main objective is to compare a classical multi-model FDI strategy with a method based on ...
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This paper presents two Fault Detection and Isolation (FDI) methods for a brushless DC motor (BLDC) nanosatellite actuator. The main objective is to compare a classical multi-model FDI strategy with a method based on Neural Network approach. The FDI algorithms must detect any error occurring in the Attitude Determination and control System (ADCS) of the satellite and then to assign it to a possible fault scenario. The performances of the two fault detection algorithms are analysed and compared considering external disturbances acting on the satellite motion. Moreover, this paper highlights the fact that a FDI based on neural networks can be successfully used as a redundant method for the satellite FDI subsystem.
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