In this paper, we consider the regulation problem for uncertain and time-varying linear discrete-time systems with bounded input and bounded state. By using an interpolation technique it is shown that, the convex hull...
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ISBN:
(纸本)9781612848006
In this paper, we consider the regulation problem for uncertain and time-varying linear discrete-time systems with bounded input and bounded state. By using an interpolation technique it is shown that, the convex hull of a set of invariant ellipsoids is also invariant. Feasibility and robustly and asymptotically stable closed-loop behavior are assured by minimizing an appropriate objective function. Moreover we show that the control value can be computed by solving nonlinear equations.
In the last two decades, Chaos theory has received a great deal of attention from the cryptographic community. This paper presents two ideas. First idea is using chaotic functions to overcome the weaknesses of the cla...
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In the last two decades, Chaos theory has received a great deal of attention from the cryptographic community. This paper presents two ideas. First idea is using chaotic functions to overcome the weaknesses of the classical Hill cipher. The second idea is proposing a new encoder-decoder architecture, called ChaoEncoDeco, for securing JPEG images. An extra stage of encryption is embedded within the traditional JPEG codec to improve security level of such system. This security stage uses one of the chaotic functions called Logistic Map. This map is used to enhance the Hill cipher and achieve more secure encryption key. The properties of both chaotic system and of the Hill cipher encryption key are all utilized to obtain ultimate secure systems. The proposed encryption algorithm is crypto-analyzed and compared to the standard Hill cipher algorithm. Complete evaluation for the proposed architecture is also performed which indicates the effectiveness of the proposed system.
Two-dimensional polyacrylamide gel electrophoresis of proteins is a robust and reproducible technique. It is the most widely used separation tool in proteomics. Current efforts in the field are directed at development...
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Two-dimensional polyacrylamide gel electrophoresis of proteins is a robust and reproducible technique. It is the most widely used separation tool in proteomics. Current efforts in the field are directed at development of tools for expanding the range of proteins accessible with two-dimensional gels. Proteomics was built around the two-dimensional gel. The idea that multiple proteins can be analyzed in parallel grew from two-dimensional gel maps. Proteomics researchers needed to identify interested protein spots by examining the gel. This is time consuming, labor extensive and error prone. It is desired that the computer can analyze the proteins automatically by first detecting then quantifying the protein spots in the 2-D gel images. In our previous work, we presented a new technique for segmentation of 2-D gel images using the fuzzy c-means algorithm using the notion of fuzzy relations. In this paper, we will describe the new relational fuzzy c-means algorithm (RFCM) and use it for automatic protein spots quantification. We will also use two methods to evaluate its performance: the unsupervised evaluation method and comparison with the expert spots quantification.
Emergence of Web 2.0 technologies became a trigger for a revolution that goes far beyond the Web. For an average student Web was transformed from a steady, accessible source of information into a place of action and v...
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Motivated by the distributed control of fleets of identical linear subsystems, we consider the stability of block upper-triangular switched linear systems with switching delay, when switching between stable modes. Pro...
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Motivated by the distributed control of fleets of identical linear subsystems, we consider the stability of block upper-triangular switched linear systems with switching delay, when switching between stable modes. Proving globally uniformly asymptotic stability (GUAS) of a switched block upper-triangular linear system can be reduced to proving GUAS for each of its block diagonal subsystems. We derive a scalable LMI-based test for GUAS under arbitrary switching, with complexity linearly dependent on the number of block diagonal elements of the system. If the system is not GUAS under arbitrary switching, we partition the state-space into regions in which switching will preserve GUAS despite a delay between the state measurements and switching time. Although we tailor these results to block upper-triangular switched linear systems, they are applicable to any switched linear system with switching delay. Two examples include control of a formation of identical vehicles under supervisory discrete control, and a switched linear system under remote control.
This paper proposes the practical realization of a fuzzy variable structure control applied to a PWM inverter. Variable structure control (VSC) is a robust control method for handling nonlinear systems where occur par...
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This paper proposes the practical realization of a fuzzy variable structure control applied to a PWM inverter. Variable structure control (VSC) is a robust control method for handling nonlinear systems where occur parameter variations and external disturbances. However, control input chattering round sliding surface exists, and may deteriorate the system performance. To reduce the chattering, a fuzzy logic for VSC is applied to overcome the problem. By composing the advantages of both VSC and fuzzy logic (FL), the PWM Inverter system can be designed and produces low total harmonic distortion (THD) output voltage and fast dynamic response under different types of load. Experimental results on a single-phase PWM inverter laboratory prototype controlled by a dSPACE-based DSP controller are presented to illustrate the improved performance, particularly under severe rectifier load. Moreover, for comparison purposes, a conventional variable structure controlled single-phase PWM inverter is also tested on the same experimental system.
A novel subspace learning algorithm named neighborhood discriminant nearest feature line analysis (NDNFLA) is proposed in this paper. NDNFLA aims to find the discriminant feature of samples by maximizing the between-c...
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A novel subspace learning algorithm named neighborhood discriminant nearest feature line analysis (NDNFLA) is proposed in this paper. NDNFLA aims to find the discriminant feature of samples by maximizing the between-class feature line (FL) distances and minimizing the within-class FL distance. At the same time, the neighborhood is preserved in the feature space. Experimental results demonstrate the efficiency of the proposed algorithm.
Buildings worldwide account for nearly 40%of global energy *** biggest energy consumer in buildings is the heating,ventilation and air conditioning(HVAC)*** HVAC systems,chillers account for a major portion of the ene...
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Buildings worldwide account for nearly 40%of global energy *** biggest energy consumer in buildings is the heating,ventilation and air conditioning(HVAC)*** HVAC systems,chillers account for a major portion of the energy *** chillers in good conditions through early fault detection and diagnosis is thus a critical *** this paper,the fault detection and diagnosis for an air-cooled chiller with air coming from outside in variable flow rates is *** problem is difficult since the air-cooled chiller is operating under major uncertainties including the cooling load,and the air temperature and flow rate.A potential method to overcome the difficulty caused by the uncertainties is to perform fault detection and diagnosis based on a gray-box model with parameters regarded as *** method is developed and verified by us in another paper for a water-cooled chiller with the uncertainty of cooling *** verification used a Kalman filter to predict parameters of a gray-box model and statistical process control(SPC)for measuring and analyzing their variations for fault detection and *** gray-box model in the method,however,requires that the air temperature and flow rate be nearly *** introducing two new parameters and deleting data points with low air flow rate,the requirement can be satisfied and the method can then be applicable for an air-cooled *** simulation results show that the method with the revised model and some data points dropped improved the fault detection and diagnosis(FDD)performance *** can detect both sudden and gradual air-cooled chiller capacity degradation and sensor faults as well as their recoveries.
This paper proposes a closed-loop propofol admission strategy for depth of hypnosis control in anesthesia. A population-based, robustly tuned controller brings the patient to a desired level of hypnosis. The novelty l...
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ISBN:
(纸本)9781612848006
This paper proposes a closed-loop propofol admission strategy for depth of hypnosis control in anesthesia. A population-based, robustly tuned controller brings the patient to a desired level of hypnosis. The novelty lies in individualizing the controller once a stable level of hypnosis is reached. This is based on the identified patient parameters and enhances suppression of output disturbances, representing surgical stimuli. The system was evaluated in simulation on models of 44 patients obtained from clinical trials. A large amount of improvement (20 - 30percent) in load suppression performance is obtained by the proposed individualized control.
Abstract In this paper, we propose a method of using the sum-of-squares methodology to synthesize controllers for plasma stabilization in Tokamak reactors. We use a partial differential model of the poloidal magnetic ...
Abstract In this paper, we propose a method of using the sum-of-squares methodology to synthesize controllers for plasma stabilization in Tokamak reactors. We use a partial differential model of the poloidal magnetic flux gradient and attempt to stabilize a reference safety-factor profile. Our methods utilize full-state feedback control and are based on solving a dual version of the Lyapunov operator inequality. In addition, we implement the controller in-silico using experimental conditions inferred from the Tore Supra tokamak.
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