Cloud computing is an application hosting model providing the illusion of infinite computing power. However, even the largest datacenters have finite computing capacity, thus cloud infrastructures have experienced ove...
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Constrained model predictive control (MPC) usually requires the computation of a quadratic programming problem (QP) at each sampling instant. This is computationally expensive and becomes a limitation to embed and use...
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Constrained model predictive control (MPC) usually requires the computation of a quadratic programming problem (QP) at each sampling instant. This is computationally expensive and becomes a limitation to embed and use MPC in plants with fast sampling rates. Several special solvers for MPC problems have been proposed in the last years, but most of them focus on state-space formulations, which are very popular in academia. This paper proposes a solution based on alternated direction method of multipliers, tailored for embedded systems and applied to generalized predictive control (GPC), which is a very popular formulation in industry. Implementations issues of parallel computation are discussed in order to accelerate the time required for the operations. The implementation in an FPGA proved to be quite fast, with the observed worst case execution time of 11,54 mu s for the presented example. These results contribute to embed GPC applications in processes that are typically controlled by classical controllers because of their fast dynamics.
The major concentration of this study is on developing a novel control system with response and tracking accuracy features capable of precise angular speed regulation of brushed DC motor. Towards this objective, speed...
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ISBN:
(纸本)9781509009107
The major concentration of this study is on developing a novel control system with response and tracking accuracy features capable of precise angular speed regulation of brushed DC motor. Towards this objective, speed loop controller of brushed DC motor based on Triple-step nonlinear method has been designed. The Triple-step nonlinear method consists of the steady-state control, the reference variation-based feed-forward control, the error feedback control. The designed nonlinear controller has the advantage of concision and specific signification. The controller can greatly enhance the transient response performance of brushed DC motor. When a brushed DC motor running at low angular speed, the system appears the speed fluctuation and dead-zone characteristic. Therefore, the friction model of motor is considered in the design of controller. Current dynamic is neglected due to the fast electric response, the commonly used feedforward controller and PI feedback controller is designed. The effectiveness of the control method compared with conventional PID controllers is verified through experiments.
This paper presents the usage of a nanorobotic handling technique for the transfer of individual copper-nanowires with diameters between 150nm and 400nm and length of about 10 mu m. Handling and assembly are inside th...
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ISBN:
(纸本)9781467356411;9781467356435
This paper presents the usage of a nanorobotic handling technique for the transfer of individual copper-nanowires with diameters between 150nm and 400nm and length of about 10 mu m. Handling and assembly are inside the SEM and use electron beam induced deposition as well as focused ion beam milling. The handled nanowires are used to assembly a NEMS device, namely an electrostatic switch design, where the nanowire acts as switching contact. Working principle, reproducibility and specific values of the switches are investigated, as well as the conductivity of the nanowires themself.
This article investigates the consequences of alternative fiscal packages by applying optimal control techniques to the National Institute econometric model. Britton (1983) provides an assessment of alternative packag...
This article investigates the consequences of alternative fiscal packages by applying optimal control techniques to the National Institute econometric model. Britton (1983) provides an assessment of alternative packages by using ready reckoners derived from simulations of the NIESR model reported in Brooks and Henry (1983). The present investigation may be seen as a more systematic analysis, using the techniques of optimal control. Such an assessment inevitably concerns the measurement of trade-offs between the major objectives of government policy, an issue which has generated much controversy over the last decade. Early interpretations of the Phillips Curve for example tended to regard the empirical finding of an inverse relation between inflation and unemployment as providing a menu for policy choice. According to this interpretation, aggregate demand policy could be used to select the best combination of inflation and unemployment rates available subject to the constraint set by the Phillips Curve. Since that time, parallel developments in the theory of wage inflation, expectations formation, and macroeconomic policy have produced considerable scepticism about the existence of this trade-off, questioning whether the implied choice between alternative combinations of inflation and unemployment is open to governments using aggregate demand policy. Much of this scepticism was coincident with growing dissatisfaction with the Phillips Curve as a statistical representation of wage inflation, but we will not be directly concerned with this aspect of the argument here. Two points however do arise from this debate which are of direct relevance to the subject matter of this article. The first is that a trade-off between inflation and unemployment may exist even if the labour market is not characterised by a Phillips Curve. The second is the central role played by natural rate concepts in the debate on the effectiveness of aggregate demand policy.
For rate control (RC) of hierarchical structure coding, an independent rate-quantization (R-Q) model was proposed based on mean absolute differences (MADs) in different temporal levels (TLs). In the proposed R-Q model...
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For rate control (RC) of hierarchical structure coding, an independent rate-quantization (R-Q) model was proposed based on mean absolute differences (MADs) in different temporal levels (TLs). In the proposed R-Q model, a novel MAD model was developed according to the hierarchical structure. The experimental results demonstrate that the proposed algorithm provides better performance, in terms of average peak signal-to-noise ratio (PSNR) and quality smoothness, than the H.264 reference model, JM14.2, under various sequences.
In sensorless motor drive applications, the rotor and the speed of the rotor are usually estimated through state observer algorithms. A key part of such algorithm is the computation of the derivative of the rotor posi...
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This paper presents ontlology-based architecture for pattern recognition in the context of static source code analysis. The proposed system has three subsystems: parser, OWL ontologies and analyser. The parser subsyst...
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ISBN:
(纸本)9783540855620
This paper presents ontlology-based architecture for pattern recognition in the context of static source code analysis. The proposed system has three subsystems: parser, OWL ontologies and analyser. The parser subsystem translates the input coded to AST that is constructed as an XML tree. The OWL ontologies define code patterns and general programming concepts. The analyser subsystem constructs instances of the input code as ontology individuals and asks the reasoner to classify them. The experience gained in the implementation of the proposed system and some practical issues are discussed. The recognition system successfully integrates the knowledge representation field and static code analysis. resulting in greater flexibility of the recognition system.
Inspired by the path transform (PT) algorithm of Zelinsky et al. the novel algorithm of complete coverage called complete coverage D*;(CCD*;) algorithm is developed, based on the D*;search of the two-dimensional occup...
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