There are many different instruction scheduling techniques that are used in compilers today. The most frequently used one is the list scheduling. It is easy to implement and gives good results in most cases. It works ...
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There are many different instruction scheduling techniques that are used in compilers today. The most frequently used one is the list scheduling. It is easy to implement and gives good results in most cases. It works on the basic block level. According to Fisher and Rau instruction level parallelism that can be achieved using this technique cannot be greater then 2. Architectures with deep pipeline can run much more instructions in the same cycle and global scheduler techniques can give better results. In our tests we used a dominator path scheduler with three different strategies for choosing the scheduling paths. Our application encoded sound to the mp3 format, and was run on a digital signal processor with a deep pipeline. Using these scheduling techniques, our C compiler generated 10% fewer NOP instructions compared to local instruction scheduling. In addition, this implementation of a dominator path scheduler was used on a C compiler for SUN Sparc processors (for testing purposes only), and it was shown that the same implementation of the scheduler can be used for different platforms.
The paper suggests to apply a proper output weight to achieve guaranteed discrete algebraic Riccati equation (DARE) solvability of the LQ optimal control problem with output tracking. Usually a positive semi definite ...
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The paper suggests to apply a proper output weight to achieve guaranteed discrete algebraic Riccati equation (DARE) solvability of the LQ optimal control problem with output tracking. Usually a positive semi definite state weighting matrix (Q) is mentioned to be sufficient for solvable DARE. However, the literature also proposes more general rank conditions. The paper shows a sufficient condition to guarantee DARE solvability under output tracking problems, by the appropriate selection of a Q > 0 matrix. At output tracking quadratic problems Q results as a sparse matrix. Therefore, a special attention has to be carried on the output weighting strategy guaranteing DARE solvability for a class of linear and mostly integrating systems. Injecting additional weights, the closed system performance can be increased. The importance of the proper weighting strategy is illustrated with a numerical example where it has been pointed out that inappropriate weights leads to infeasible DARE.
作者:
Martin ZalesakPetr PolachTomas Bata University in Zlín
Faculty of Applied InformaticsDepartment of Automation and Control EngineeringNad Stráněmi 4511 760 05 ZlínCzech Republic Brno University of Technology
Faculty of Electrical Engineering and CommunicationDepartment of Control and InstrumentationKolejní 4612 00 BrnoCzech Republic
A new multipurpose laboratory of building technology has been built in Tomas Bata University, faculty of Applied Informatics and set into test operation. The laboratory supports several subjects like modern HVAC syste...
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A new multipurpose laboratory of building technology has been built in Tomas Bata University, faculty of Applied Informatics and set into test operation. The laboratory supports several subjects like modern HVAC system applications, with renewable sources of energy implemented (solar collectors and reversible heat pump application), and a comprehensive system of control, based on the open bus communication system KNX , communication gate based on the TCP/IP protocol. The laboratory is as well equipped as a training tool for control systems based on bus communication particularly KNX (finished) and LONWORKS and BACNET (under construction). The paper describes the first results achieved by the laboratory.
Using scanning tunneling microscopy, low-energy electron-diffraction observations, and density-functional calculations, the effect of adding Ge to Si(111) substrate on the reconstructions induced by Al adsorption has ...
Using scanning tunneling microscopy, low-energy electron-diffraction observations, and density-functional calculations, the effect of adding Ge to Si(111) substrate on the reconstructions induced by Al adsorption has been studied. It has been found that Ge incorporation alters the relative stability of the reconstructions. In particular, while in the “pure” Al/Si(111) system the magic cluster array (α−7×7 phase) is less stable than the 3×3 reconstruction (to which it irreversibly converts upon heating above 600 °C), in the Al/SixGe1−x(111) system magic clusters possess an enhanced thermal stability and persist almost up to the Al desorption temperature of ∼800°. The results of calculations allow us to track the sequential stages of the substitution of Si atoms by Ge in the α−7×7 phase. The general trend found is that adding Ge to Si(111) makes the Al substitutional configuration more preferable than the Al adatom configuration, which is opposite to the relative stabilities of the configurations in the pure Al/Si(111) system.
Using induced L 2 -norm minimization, a robust controller was developed for insulin delivery in Type I diabetic patients. The high-complexity nonlinear diabetic patient Sorensen-model [1] was considered. LPV (Linear P...
Using induced L 2 -norm minimization, a robust controller was developed for insulin delivery in Type I diabetic patients. The high-complexity nonlinear diabetic patient Sorensen-model [1] was considered. LPV (Linear Parameter Varying) methodology was used to develop open loop model and robust controller. Considering the normoglycemic set point (81.1 mg/dL), a polytopic set was created over the physiologic boundaries of the glucose-insulin interaction of the Sorensen-model. In this way, LPV model formalism was defined. The robust control was developed considering input and output multiplicative uncertainties with other weighting functions.
Pairing is the first step of decentralized controller design procedure in multi-input multi-output (MIMO) processes. In spite of considerable efforts dedicated to this problem, most of the known pairing techniques are...
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Pairing is the first step of decentralized controller design procedure in multi-input multi-output (MIMO) processes. In spite of considerable efforts dedicated to this problem, most of the known pairing techniques are offline algorithms and fail to decide when dealing with high dimensional and/or time varying processes and adaptive control applications. In this article, normalized effective relative gain array (NERGA) is introduced as an effective automatic pairing method and is employed in a new adaptive decentralized PID control strategy.
In this paper, we design a neurofuzzy controller to control several variables of a rotary cement kilns. The variables are back-end temperature, pre-heater temperature, oxygen content and CO2 gas content of the kiln. T...
In this paper, we design a neurofuzzy controller to control several variables of a rotary cement kilns. The variables are back-end temperature, pre-heater temperature, oxygen content and CO2 gas content of the kiln. The fuzzy control system, as an advanced control option for the kilns, is intended to minimize the operator interaction in the control process. The proposed fuzzy controller uses a neural network to optimize TSK-type fuzzy controller. Since there is no generally applicable analytical model for cement kilns, we use the real data derived from Saveh cement factory for the plant identification. A model, which is very similar to the real plant, is identified then; and the identified model is used for control design and simulations. Extensive simulation studies justify the effectiveness and applicability of the proposed control scheme in intelligent control of cement plant.
The paper deals with influence of a single scalar positive tuning parameter on performance properties of the closed control loop which contains algebraically designed PI controller while the response quality is evalua...
The paper deals with influence of a single scalar positive tuning parameter on performance properties of the closed control loop which contains algebraically designed PI controller while the response quality is evaluated by the size of first under- or overshoots. The controller coefficients are calculated from general solutions of diophantine equations in the ring of proper and Hurwitz stable rational functions. Subsequently, these controllers can be tuned by the only parameter. The contribution brings simple tuning rules and, moreover, it presents their possible practical application during control of real laboratory model assumed as system with parametric uncertainty.
New data acquisition technologies, such as phasor measurement units (PMU), have been implemented in recent years to operate the power system with more reliability and control by improving the protection schemes like l...
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New data acquisition technologies, such as phasor measurement units (PMU), have been implemented in recent years to operate the power system with more reliability and control by improving the protection schemes like line differential protection or damping the inter-area oscillations. The present standard IEEE C37.118 only provides general information about the testing conditions and requirements, without giving any specifics.. To create the PMU data function for the applications and thereby make the power system more reliable, the appropriate PMU test standards have to be developed and disseminated. Future testing methods should ensure that units from different manufacturers are tested identically and function properly under different repeatable test scenarios and test stand set up conditions. This paper presents experiences from tests of PMU accuracy and calibration conducted in Europe and the USA, which will facilitate the development of future standards. The test stand itself and the test results from the various PMU manufactures are presented, compared and discussed in this paper, taking into account the standardization issues.
A considerable amount of research has been done on the use of logarithmic quantizers for networked feedback control systems. However, most results are developed for the case of a single quantizer (either measurement o...
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ISBN:
(纸本)9781424431236
A considerable amount of research has been done on the use of logarithmic quantizers for networked feedback control systems. However, most results are developed for the case of a single quantizer (either measurement or control signal quantization). In this paper, we investigate the case of simultaneous input and output quantization for SISO linear output feedback systems. Firstly, we show that the problem of quadratic stabilization via quantized feedback can be addressed with no conservativeness by means of the sector bound approach. Secondly, we provide a bound on the maximal admissible sector bound via a scaled H ¿ optimization problem.
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