Model predictive control is a receding horizon control policy in which a linear or quadratic program with linear constraints is solved on-line at each sampling instance. An algorithm is developed that allows quick com...
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Model predictive control is a receding horizon control policy in which a linear or quadratic program with linear constraints is solved on-line at each sampling instance. An algorithm is developed that allows quick computation of sub-optimal control moves. The linear constraint set is approximated by an ellipsoid and a change of variables is performed so that a solution may be computed efficiently via bisection. The ellipsoid is rescaled on-line to reduce conservatism. This allows the implementation of model predictive control algorithms to large scale processes using simple control hardware.
A new insulin and nutrition control method for tight glycaemic control in critical care is presented from concept to clinical trials to clinical practice change. The primary results show that the method can provide ve...
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A new insulin and nutrition control method for tight glycaemic control in critical care is presented from concept to clinical trials to clinical practice change. The primary results show that the method can provide very tight glycaemic control in critical care for a very critically ill cohort. More specifically, the final clinical practice change protocol provided 2100 hours of control with average blood glucose of .8 +/- 0.9 mmol/L for an initial 10 patient pilot study. It also used less insulin, while providing the same or greater nutritional input, as compared to retrospective hospital control for a relatively very critically ill cohort with high insulin resistance.
In this work, a methodology to study the control of a class of discrete-event systems, more precisely of closed manufacturing lines is proposed. Our contribution is based on the variable speeds and the controlled maxi...
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In this work, a methodology to study the control of a class of discrete-event systems, more precisely of closed manufacturing lines is proposed. Our contribution is based on the variable speeds and the controlled maximal speeds continuous Petri net model. The computation of the control is made using standard linear programming methods. Through illustrative examples, the simplicity as well as the efficiency of this method will be put in a prominent. Dans ce travail, on propose une méthodologie pour I'étude de la commande d'une Glasse de systémes á événements discrets, plus précisément des lignes de fabrication fermécs. Notre contribution est basée sur le modèle réseau de Petri continu á vitesses variabes et á vitesses maximales contrôlées. Le calcul de la commande se fait par le biais de méthodes standards de programmation linéaire. A travers des exemples illustratifs, la simplcité aussi bien que I'efficacité de cette méthode seront mis en évidence
The simply control system on the basis of the single chip microprocessor Motorola HC11 was created. This unit is applicable especially for the small technological processes and in the laboratory conditions. It enables...
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The simply control system on the basis of the single chip microprocessor Motorola HC11 was created. This unit is applicable especially for the small technological processes and in the laboratory conditions. It enables to connect maximally 8 analogue and 8 discrete inputs and on the outputs side 8 discrete outputs. The control unit is equipped by the real time running software with the possibilities to display important information either on the small LCD display (two rows, 16 columns) or by the help of the serial communication to send the data to. the high level computer system to display them there. For the automatic control there is possible to use several control algorithms.
The District Heating Systems (DHS) are being developed in large cities in accordance with their growth. The DHS are formed by enlarging networks of heat distribution to consumers and at the same time they interconnect...
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The District Heating Systems (DHS) are being developed in large cities in accordance with their growth. The DHS are formed by enlarging networks of heat distribution to consumers and at the same time they interconnect the heat sources gradually built. DHS is used in larger cities of some European countries e.g. in Germany, France, Denmark, Finland, Sweden, Netherlands, Czech Republic, Poland and others. Production technology of heat by means of combined production of power and heat (CHP) is an important way to increasing of thermal efficiency of closed thermal loop. The paper shows the system access to the control of extensive DHS - controlled plant. It concerns automatic control of technological string “production, transport + distribution, consumption” of extensive district heating and that is the contribution of this paper. control by means of advanced control algorithms is a tool (up to now neglect) for decreasing cost of energy and increasing the level of environment protection.
This paper is devoted to the detailed description of development processes and features of multicomputer desks based on the development software tool RDS (Research of Dynamic Systems). Powerful capabilities of multico...
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This paper is devoted to the detailed description of development processes and features of multicomputer desks based on the development software tool RDS (Research of Dynamic Systems). Powerful capabilities of multicomputer desks developed with use of RDS are illustrated by different examples of control algorithms implementation for technical plants. The software tool RDS developed in Institute of control Sciences RAS satisfies main design principles for multicomputer desks and facilitates creation of research desks for simulation and development of control systems.
Predictive control algorithms determine a series of the control signal minimizing the deviation between the reference and the output signal in a given future horizon. The output of the plant to be controlled is predic...
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Predictive control algorithms determine a series of the control signal minimizing the deviation between the reference and the output signal in a given future horizon. The output of the plant to be controlled is predicted on the basis of a model, which can be linear or nonlinear, parametric or nonparametric. In adaptive control these process parameters are identified and the control signal is calculated taking the identified values into consideration. In the paper simulation results present some properties of adaptive predictive control. Robustness of the control algorithm is illustrated through control of a simple Wiener model . The relationship between the plant order and the prediction horizon is also mentioned. The promising results indicate that further systematic analysis is worthwhile.
The problem of determining an oral dose, or schedule of oral doses, that gives rise to an arbitrary area-under-curve or to points on the time-series for a variable of interest in a drug kinetics model is considered. T...
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The problem of determining an oral dose, or schedule of oral doses, that gives rise to an arbitrary area-under-curve or to points on the time-series for a variable of interest in a drug kinetics model is considered. These two measures are considered as surrogates for the particular drug response to the dose. The approach taken is to formulate the problem as a fixed point one to which a version of the contraction mapping theorem can be applied. The results, illustrated for a model for the anti-cancer agent topotecan, demonstrate the applicability of the approach. (C) 2010 Elsevier Ltd. All rights reserved.
Good quality hay production in barns requires automation of farm operations. The paper presents control algorithms for near ambient air drying of the fresh grass Festuca pratensis on grates. The depth of layer of the ...
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Good quality hay production in barns requires automation of farm operations. The paper presents control algorithms for near ambient air drying of the fresh grass Festuca pratensis on grates. The depth of layer of the material stored was 1.3 m. No moisture condensation appeared during drying tests. Major factors controlling the drying process through fan operation on/off, i.e. near ambient air temperature, relative air humidity, temperature of the material stored and its moisture content measured as bioimpedance, were continuously tested in real time. Another control variable was equilibrium moisture content of the grass hay, presented in graphs as water sorption isotherms. The predeterminated maximum temperature of forage in a barn was 37°C.
Adaptive regulators for controlling multidimensional stochastic bilinear systems with uncertain and changing within a wide range of parameters are considered. The methods of synthesis for adaptive re-gulation laws are...
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Adaptive regulators for controlling multidimensional stochastic bilinear systems with uncertain and changing within a wide range of parameters are considered. The methods of synthesis for adaptive re-gulation laws are proposed, under which a closed loop system has a ge-neralized minimum-variance. The controlled object in this case can be nonminimum-phase. The algorithms of the adaptive control law taking ac-count of uncontrolled coordinate disturbances are discribed.
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