This work presents a strategy to estimate and to correct dynamics variations in nonlinear time variant systems. This correction is carried out by estimating the internal parameters of the process and determining the d...
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The problem of guided missile flight with minimum normal acceleration is investigated. Obtaining an analytical result for the problem in its general form is difficult. A constant normal acceleration policy is obtained...
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The problem of guided missile flight with minimum normal acceleration is investigated. Obtaining an analytical result for the problem in its general form is difficult. A constant normal acceleration policy is obtained which requires keeping the normal acceleration constant all the flight time and satisfying all the constraints. A computer program is prepared and executed using real data to form some charts for different velocities and different missile initial conditions. Comparing the results using the above optimum policy, and the results solving the problem by the gradient technique shows that it gives a less normal acceleration.
Due to the importance of the flight time elapsed of a guided missile before impact, the minimum time flight policy is investigated. Using the maximum principle, the results of bang-bang control policy are given but wi...
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Due to the importance of the flight time elapsed of a guided missile before impact, the minimum time flight policy is investigated. Using the maximum principle, the results of bang-bang control policy are given but with highly complicated costate equations. Some remarks are made about the behaviour of the optimal control policy. Three different numerical algorithms are described and applied to obtain a bang-bang control policy using real data for the missile. The first and second algorithms are based on the remarks obtained from the analytical results. The gradient technique is also used in obtaining the third algorithm. The effects of both the amplitude of the control and the allowable number of switches in the control on the miss distance are obtained. The relation between the target velocity and the final time is also investigated.
Classification techniques based on Artificial Intelligence are computational tools that have been applied to detection of intrusions (IDS) with encouraging results. They are able to solve problems related to informati...
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In this paper, a robust technique based on discrete wavelet transform, edge detection, and morphology operation for scene text detection is proposed. There are several stages in the proposed method. In the first stage...
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In this paper we present a fully automated morphology-based technique for segmentation of nuclei in cancer tissue images and we compare it with a common technique for biomedical image processing, namely active contour...
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ISBN:
(纸本)9781424428458
In this paper we present a fully automated morphology-based technique for segmentation of nuclei in cancer tissue images and we compare it with a common technique for biomedical image processing, namely active contours. We discuss the limitations of active contours in the processing of immunohistochemical images characterized by heterogeneously stained nuclear region and noise caused by the presence of multiple tissue layers in the sample. We describe the integration of the proposed approach in a fully automated protein activity quantification tool. Finally, we demonstrate and motivate through extensive experiments that our fully automated morphology-based approach provides better accuracy compared to various active contours implementations.
An approach to the solution of the adaptive control for nonlinear systems with unknown parameters is presented by using the theory of nonlinear H∞ disturbance attenuation control. The two-level control law is present...
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ISBN:
(纸本)9783952426906
An approach to the solution of the adaptive control for nonlinear systems with unknown parameters is presented by using the theory of nonlinear H∞ disturbance attenuation control. The two-level control law is presented. It is shown that the adaptive control law is related to the existence of the solution of a new form of Hamilton-Jacobi-Isaacs inequlity. The stability of the closed loop system can be guranteed when the update rate of the unknown parameter is equal to the requested update law. The asymptotical stability of the closed loop system can be guranteed when the estimators of the uncertain parameters convergence to the true value.
This work presents a strategy to estimate and to correct dynamics variations in nonlinear time variant systems. This correction is carried out by estimating the internal parameters of the process and determining the d...
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This work presents a strategy to estimate and to correct dynamics variations in nonlinear time variant systems. This correction is carried out by estimating the internal parameters of the process and determining the differences with an available nonlinear model of the system. The proposed approach has a double functionality; on the one hand, it allows a better performance of using nonlinear models for control purposes, like for nonlinear predictive controllers; and on the other hand, it can be used as a diagnosis mechanism since it provides relevant information about the current state of the system. Thus, in order to use this technique with nonlinear time variant systems, a nonlinear model predictive control strategy has been used. The estimator proposed within the framework of this work is similar to the Moving Horizon Estimation strategy. Experimental results on a real tank process are presented to show the main properties of the proposed architecture.
Recently, cloud computers are widely used due to the development of computing environment and network speed. Unikernel is considered to be an attractive operating system in the manycore environment that effectively pr...
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As computers with manycore architecture are being widely spread, parallel programming becomes a pending issue. While parallel programming has been a challenging issue, Haskell is known to be of the best available one....
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