In this paper, a neural network-based predictive controller is designed to govern the dynamics of heat exchanger process. Heat exchanger is a highly nonlinear process; therefore, a nonlinear prediction method can be a...
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In this paper, a neural network-based predictive controller is designed to govern the dynamics of heat exchanger process. Heat exchanger is a highly nonlinear process; therefore, a nonlinear prediction method can be a better match in a predictive control strategy. Advantages of neural networks for the process modeling are studied and a neural network based predictor is designed, trained and tested as a part of the predictive controller. The neuro predictive controller is utilized in setpoint tracking of a heat exchanger plant. The performance of the proposed controller is compared with that of Generalized Predictive control (GPC) through simulation studies. Obtained results demonstrate the effectiveness and superiority of the proposed approach.
Images are often contaminated by impulse noise. The major drawback of median filtering and its variants - that are widely used for removing impulsive noise - is the blurring effect for large window sizes and low noise...
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Images are often contaminated by impulse noise. The major drawback of median filtering and its variants - that are widely used for removing impulsive noise - is the blurring effect for large window sizes and low noise suppression for small window sizes. In this paper, an algorithm for removing impulse noise in images is proposed. The long-range correlation information in a competitive scheme is utilized to find the gray level of degraded pixels. The experimental results show that the performance of our method in removing impulse noise is better than that of most other state-of-the-art methods.
Valuable medical information can be achieved by analysing shape and appearance of human chromosomes. Karyotype, an image of collection of all 23 pairs of human chromosomes, is usually used for this purpose. Making a K...
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Valuable medical information can be achieved by analysing shape and appearance of human chromosomes. Karyotype, an image of collection of all 23 pairs of human chromosomes, is usually used for this purpose. Making a Karyotype is hard and time consuming, encouraging experts in the image processing and machine vision field to work towards an automatic Karyotyping method. The first step in automation of this process is to define the geometric (morphologic) and intensity based features of the chromosome originating mostly from its banding pattern. As part of a complete project, which is defined to develop a new knowledge based classification technique for chromosomes, a number of new features in addition to the commonly used geometric and intensity based features, are introduced in this paper. Some of the features are computed using the so-called medial axis transform (MAT). For an accurate determination of most of these features it is necessary, however, to identify some key points or landmarks in the image (mostly over the MAT). This paper describes novel algorithms developed to locate such landmarks as centromere, end points of chromosome and two points defined as branching points on the chromosome axis. The algorithms have been tested on the real images supplied by the cytogenetic laboratory of Cancer Institute, University of Tehran. The automatically defined positions of the landmarks have been compared to those manually identified by an expert. In most of the cases the results were in complete agreement.
Notice of Violation of IEEE Publication Principles "Internal model control based on locally linear model tree (LOLIMOT) model with application to a PH neutral process" by M. Jalili-Kharaajoo, A. Rahmati and ...
Notice of Violation of IEEE Publication Principles "Internal model control based on locally linear model tree (LOLIMOT) model with application to a PH neutral process" by M. Jalili-Kharaajoo, A. Rahmati and F. Rashidi, in proceedings of the 2003 IEEE Internationa Conference on Systems, Man, and Cybernetics, vol 4, pp. 3051-3-55. After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles. This paper contains portions of original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission. "Nonlinear Internal Model control for MISO Systems Based on Local Linear Neuro-Fuzzy Models" by A. Fink, O. Nelles and R. Isermann, in 15th IFAC World Congress, Barcelona, Spain, 2002. The internal model control (IMC) scheme has been widely applied in the field of process control. So far, IMC has been mainly applied to linear processes. This paper discusses the extension of the IMC scheme to nonlinear processes based on local linear models where the properties of linear design procedures can be exploited. The IMC scheme results in controllers that are comparable to conventional multi layer perceptron (MLP) networks. In practice, the tuning of conventional MLP based controllers can be very time-consuming whereas the IMC design procedure is very simple and reliable. The design effort of the IMC based on locally linear model tree (LOLIMOT) algorithm are discussed and the control results are compared by application to nonlinear control of an industrial-scale PH neutralization process. Simulation studies of a PH neutralization process confirm the excellent nonlinear modeling properties of the proposed locally linear network and illustrate the potential for set point tracking and disturbance rejection within an IMC framework.
The paper presents results achieved during realization of the international project DAMADICS ( Development and Application of Methods for Actuator Diagnosis in Industrial control Systems ). The proposed fault detectio...
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The paper presents results achieved during realization of the international project DAMADICS ( Development and Application of Methods for Actuator Diagnosis in Industrial control Systems ). The proposed fault detection and isolation system is designed using a bank of dynamic neural networks. Each network is trained using a stochastic approximation method, which can be viewed as a fast alternative to back-propagation based algorithm. Simulation results are carried out using the real process data recorded at the Lublin Sugar Factory, Poland.
In this paper, a nonlinear adaptive dynamic controller is designed for velocity and flux magnitude tracking of induction motors. The control design is a partial-state feedback design that utilizes rotor velocity and s...
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In this paper, a nonlinear adaptive dynamic controller is designed for velocity and flux magnitude tracking of induction motors. The control design is a partial-state feedback design that utilizes rotor velocity and stator current measurements. Rotor position and flux measurements are not utilized for feedback. Further more, an adaptive approach is followed to compensate for uncertainty in the mechanical parameters (inertia, friction, and load torque) and the rotor resistance. The only information required about these parameters is a lower bound on the rotor resistance. The designed controller has dynamic order 12 and achieves asymptotic tracking of the flux magnitude trajectory. Under a persistency of excitation condition, asymptotic tracking of the flux magnitude trajectory is also obtained.
With the emerging applications of multi-agent systems, there is always a need for simulation to verify the results before actual implementation. Multi-agent simulation provides a test bed for several soft-computing al...
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With the emerging applications of multi-agent systems, there is always a need for simulation to verify the results before actual implementation. Multi-agent simulation provides a test bed for several soft-computing algorithms like fuzzy logic, learning automata, evolutionary algorithms, etc. In this paper we discuss the fusion of these soft-computing methodologies and existing tools for discrete event simulation (DEVS) for multi-agent simulation. We propose a methodology for combining the agent-based architecture, discrete event system and soft-computing methods in the simulation of multi-agent robotics and network security system. We also define a framework called Virtual Laboratory (V-Lab/spl reg/) for multi-agent simulation using intelligent tools.
The objective of this paper is to briefly discuss the goal seeking with obstacle avoidance behavior (GSOA) for mobile robots. Hardware and software implementation using the Pioneer DX robot is also discussed. The deta...
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The objective of this paper is to briefly discuss the goal seeking with obstacle avoidance behavior (GSOA) for mobile robots. Hardware and software implementation using the Pioneer DX robot is also discussed. The detailed implementation of the MATLAB code with Visual C++ is also provided which is the underlying methodology for the software developed
Design of an optimal nonlinear state feedback voltage regulator for power systems is proposed in this paper. In order to obtain the nonlinear control law the Hamilton-Jacobi-Belman (HJB) equation is solved using Taylo...
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Design of an optimal nonlinear state feedback voltage regulator for power systems is proposed in this paper. In order to obtain the nonlinear control law the Hamilton-Jacobi-Belman (HJB) equation is solved using Taylor series expansion of its nonlinear terms. The performance of the proposed controller in a single machine-infinite bus power system is simulated and the advantages of the nonlinear feedback controllers in some grounds like increasing the fault tolerance and domain of validity of the close-loop system are investigated. Also, the advantages of the proposed controller in the presence of some disturbances are shown. Simulation results reveal the effectiveness of the proposed controller.
The single cell gel electrophoresis, called Comet Assay is a microelectrophoretic technique of direct visualization of DNA damage at the cell level. In the comet assay, the cells suspended in an agarose gel on a micro...
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