Describes a auto-adaptive N-step algorithm for computing straight lines in graphic displays. Property of the algorithm which automatically chooses the N value; Types of N-step algorithms; Properties of the single-, do...
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Describes a auto-adaptive N-step algorithm for computing straight lines in graphic displays. Property of the algorithm which automatically chooses the N value; Types of N-step algorithms; Properties of the single-, double-, triple- and quad-step algorithms; N-step algorithm performances in seconds; Possible patterns of the double-step algorithm.
This paper describes a new self-adapting control algorithm for reactive autonomous agents. The architecture of the autonomous agents integrates the reactive behavior with reinforcement learning. We show how these comp...
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This paper describes a new self-adapting control algorithm for reactive autonomous agents. The architecture of the autonomous agents integrates the reactive behavior with reinforcement learning. We show how these components perform on-line adaptation of the autonomous agents to various complex navigation situations by constructing an internal model of the environment. Also, a discussion on cooperation and coordination of teams of agents is presented.
Higher-order chain rule for differential forms is used to obtain the (higher-order) moments of a random matrix from certain cumulants and vice versa. computer algorithms are written for the above chain rule. In partic...
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Higher-order chain rule for differential forms is used to obtain the (higher-order) moments of a random matrix from certain cumulants and vice versa. computer algorithms are written for the above chain rule. In particular, computer algorithms for finding moments and cumulants of normal and Wishart random matrices are obtained. (C) 2000 Elsevier Science B.V. All rights reserved. MSG: primary 62H05;secondary 62H12.
The complexity of modern anesthesia procedures requires the development of decision-support systems functioning in a smart-alarm capacity. We developed computer algorithms to detect critical conditions during surgery ...
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The complexity of modern anesthesia procedures requires the development of decision-support systems functioning in a smart-alarm capacity. We developed computer algorithms to detect critical conditions during surgery (light anesthesia or unstable blood pressure), based on computerized anesthesia records containing hemodynamic data (heart rate, mean arterial pressure and systolic arterial pressure). Our analysis indicated that a ≥12% change in mean arterial blood pressure (MAP), compared with the median value of MAP over the preceding 10-min interval, may be chosen as the criterion for detecting LA, with a sensitivity of 96% and a specificity of 91%. The best agreement between human and computer ratings of blood pressure lability (correlation coefficient 0.78) was achieved when we used the absolute value of the fractional change of the mean arterial pressure (|FCM|) between one 2-min epoch and the next 2-min epoch. Work is under progress to develop a decision-support system to alert clinicians in the operating room environment to critical events.
In order to support education in distributed system fundamentals and to elucidate the function of distributed algorithms and protocols, we apply animations of formal models which concentrate on the mediation of aspect...
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In order to support education in distributed system fundamentals and to elucidate the function of distributed algorithms and protocols, we apply animations of formal models which concentrate on the mediation of aspects of the dynamic system behavior. For this purpose we adapted and extended approaches and tools supporting the animation of sequential algorithms. Besides sets of special animations, the results comprise a set of view types providing for the convenient presentation of dynamic properties. Furthermore, we report on experiences we gained from a series of corresponding educational experiments.
The Saint-Venant equations of open-channel flow were linearized using the Taylor series and a finite-difference approximation of the original nonlinear, partial differential equations. Using the linear optimal control...
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The Saint-Venant equations of open-channel flow were linearized using the Taylor series and a finite-difference approximation of the original nonlinear, partial differential equations. Using the linear optimal control theory, a proportional-plus-integral (PI) controller was developed for an irrigation canal with five pools. Since the order of the controller gain matrix was large, the Kalman filter was designed to estimate values for the state variables that were not measured. For this problem, there were a total of 45 state and five control variables. With two flow depth measurements per pool, values for the remaining 35 state variables were estimated using the Kalman filter. The simulated canal dynamics with the regional PI controllers along with the local Kalman filter were compared with the performance of the global control algorithms for achieving a constant-volume control and a constant-level control of an example irrigation canal. The performance of the regional constant-volume control algorithms was found to be as good as the performance of the global control algorithm, whereas the performance of the regional constant-level control algorithm was marginally acceptable.
We apply the spatially and temporally periodic boundary conditions devised by Kraynik and Reinelt (Int. J. Multiphase Flow 18 (1992) 1045) to an atomic fluid undergoing planar elongational flow and describe several al...
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We apply the spatially and temporally periodic boundary conditions devised by Kraynik and Reinelt (Int. J. Multiphase Flow 18 (1992) 1045) to an atomic fluid undergoing planar elongational flow and describe several algorithms which efficiently apply the required nonstandard periodic boundary conditions. These periodic boundary conditions guarantee unrestricted simulation times, and are simply implemented if a rotational transformation is first applied to the coordinates of all atoms such that one of the cell boundaries aligns with the direction of elongation. While in the transformed frame one can apply either Lagrangian rhomboid (LR) or "deforming brick" (DB) periodic boundary conditions to all particle coordinates and relative distances. The latter (DB) scheme turns out to be very similar in form to standard Lees-Edwards periodic boundary conditions for planar shear flow, and both the LR and DB schemes are shown to be equivalent and numerically highly efficient. (C) 1999 Elsevier Science B.V.
We present the control and design of a vertical transparent multizone furnace which can operate in the temperature range of 25-750 degrees C and deliver thermal gradients of 2-45 degrees C/cm for the commercial applic...
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We present the control and design of a vertical transparent multizone furnace which can operate in the temperature range of 25-750 degrees C and deliver thermal gradients of 2-45 degrees C/cm for the commercial applications to crystal growth. A multivariable projective control algorithm is used for the temperature control. The controller accounts for the inevitable zone to zone thermal interactions. In addition, the control system operates such that the thermal profile is maintained under the thermal load of crystal, thus boundary conditions on crystal growth ampoules can be predetermined prior to crystal growth. Temperature profiles for the growth of crystals via directional solidification, vapor transport techniques, and multiple gradient applications can be easily implemented. The unique feature of its transparency and stable thermal profiles make the furnace useful for the determination of process parameters that optimize crystal growth conditions. (C) 1999 Elsevier Science Ltd. All rights reserved.
In this paper, an implementable algorithm that enables to robustly control batch processes is proposed. The resulting state feedback algorithm is based on repeated on-line solution of constrained open loop min-max pro...
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In this paper, an implementable algorithm that enables to robustly control batch processes is proposed. The resulting state feedback algorithm is based on repeated on-line solution of constrained open loop min-max problems associated to the worst-case perturbations and/or uncertainties. These solutions are then used in a receding horizon scheme in order to yield a robust state feedback controller. A novel algorithm is proposed for the solution of the open loop constrained minmax problems that is based on chattering control combined with the variable stabilizing penalty approach. Simulations are provided in order to illustrate the effectiveness of the proposed control algorithm.
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