In avionics and automotive applications of computing, special care must be taken of issues related to safety. Assurance must be provided that computer hardware or software does not contribute to situations, which may ...
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In avionics and automotive applications of computing, special care must be taken of issues related to safety. Assurance must be provided that computer hardware or software does not contribute to situations, which may cause loss of life or significant property damage. One aspect of this concern is the design of databuses, which provide a medium to exchange information among various electronics devices in a vehicle. Unfortunately, only a few aspects of bus design have been sufficiently covered in the research studying system safety. This paper reviews and compares available information on bus specifications. Databuses are discussed regarding their properties, such as signal characteristics and bus protocols, with respect to safety.
In this paper, we aim at developing a System-on-Chip, SoC, which can capture image as well as produce vehicle lane map at the same time. We adopt Peak-Finding based lane detection algorithm that can achieve high recog...
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This paper explores feedback controller design for cavity flows based on reduced-order models derived using Proper Orthogonal Decomposition (POD) along with Galerkin projection method. Our preliminary analysis shows t...
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This paper explores feedback controller design for cavity flows based on reduced-order models derived using Proper Orthogonal Decomposition (POD) along with Galerkin projection method. Our preliminary analysis shows that the equilibrium of the POD model is unstable and a static output feedback controller cannot stabilize it. We develop Linear Quadratic (LQ) optimal state feedback controllers and LQ optimal observers for the linearized models. The linear controllers and observers are applied to the nonlinear system using simulations. The controller robustness is numerically tested with respect to different POD models generated at different forcing frequencies. An estimation for the region of attraction of the linear controllers is also provided.
This paper deals with the implementation of Haar wavelet to the optimal control of linear singularly perturbed systems. The approximated composite control and the slow and fast trajectories with respect to a quadratic...
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This paper deals with the implementation of Haar wavelet to the optimal control of linear singularly perturbed systems. The approximated composite control and the slow and fast trajectories with respect to a quadratic cost function by solving only the linear algebraic equations are calculated. The results are illustrated with a simple example.
Variability of hue and saturation components is an important drawback for developing accurate color image segmentation algorithms based on HSI spaces: different colors can return similar color components because of th...
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Variability of hue and saturation components is an important drawback for developing accurate color image segmentation algorithms based on HSI spaces: different colors can return similar color components because of the different illumination levels, and the components of a color change accordingly to the illumination level. To avoid these problems within color segmentation algorithms, we propose a method that, based on predicted hue and saturation deviations, provides the reliability degree of the H-S color components based obtained HIS values. The reliability degree has been used for improving color classification results
This paper deals with modelling and adaptive output tracking of a Transverse Flux Permanent Magnet Machine (TFPM) as a non-linear system with unknown nonlinearities by utilizing High Gain Observer (HGO) and Radial Bas...
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This paper deals with modelling and adaptive output tracking of a Transverse Flux Permanent Magnet Machine (TFPM) as a non-linear system with unknown nonlinearities by utilizing High Gain Observer (HGO) and Radial Basis Function (RBF) networks. The technique of feedback linearization and H ∞ control are used to design an adaptive control law for compensating the unknown nonlinearity parts, such the effect of cogging torque, as a disturbance is decreased onto the rotor angle and angular velocity tracking performances. Finally, the capability of the proposed method is shown in the simulation results.
Recent advances in modeling languages have made it feasible to formally specify and analyze the behavior of large system components. Synchronous data flow languages, such as Lustre, SCR, and RSML-e are well suited to ...
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Simulation modeling combined with decision control can offer important benefits for analysis, design, and operation of semiconductor supply-chain network systems. Detailed simulation of physical processes provides inf...
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Simulation modeling combined with decision control can offer important benefits for analysis, design, and operation of semiconductor supply-chain network systems. Detailed simulation of physical processes provides information for its controller to account for (expected) stochasticity present in the manufacturing processes. In turn, the controller can provide (near) optimal decisions for the operation of the processes and thus handle uncertainty in customer demands. In this paper, we describe an environment that synthesizes discrete-event system specification (DEVS) with model predictive control (MPC) paradigms using a knowledge interchange broker (KIB). This environment uses the KIB to compose discrete event simulation and model predictive control models. This approach to composability affords flexibility for studying semiconductor supply-chain manufacturing at varying levels of detail. We describe a hybrid DEVS/MPC environments via a knowledge interchange broker. We conclude with a comparison of this work with another that employs the Simulink/MATLAB environment.
The existing U.S. Paradigm of individual departmental laboratories is increasingly difficult to justify due to the interdisciplinary nature of modern controlengineering, the high cost and rapid obsolescence of techno...
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The existing U.S. Paradigm of individual departmental laboratories is increasingly difficult to justify due to the interdisciplinary nature of modern controlengineering, the high cost and rapid obsolescence of technology, and the demands on faculty time. The College of engineeringcontrol Systems Laboratory (COECSL) at the University of Illinois advocates a shift from departmental labs to college labs for pedagogical, as well as financial, reasons. This approach is proving to be an effective approach to undergraduate control systems education.
As the voltage and current waveforms are deformed due to transient during faults, their pattern changes according to the type of fault. The Artificial Neural Network (ANN) can then be used for fault detection due to i...
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ISBN:
(纸本)0780386108
As the voltage and current waveforms are deformed due to transient during faults, their pattern changes according to the type of fault. The Artificial Neural Network (ANN) can then be used for fault detection due to its distinguished behavior in pattern recognition. In order to minimize the structure and timing of the ANN, preprocessing of the voltage and current waveforms was done. The data delivered from a simulated power system using PSCAD (EMTP with cad system) was used for training and testing the ANN. An experimental setup, consists of a 3 phase power supply module and transmission line module, is utilized. A set of signal conditioning circuits is designed and implemented in order to transfer data to a PC which is used as an on-line relay for fault detection. This is done via a data acquisition card (CIO-DAS1602/12). The Matlab program captures and processes real data for training the ANN. Applying different types of faults for testing the system, right tripping action was taken and the type of fault was correctly identified. The suggested artificial neural network algorithm has been found simple and effective hence could be implemented in practical application.
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