Tangentially-fired furnaces (TFF) are vortex-combustion units and are widely used in steam generators of thermal power plants. Perfect modeling and simulation of furnace gas temperature is quite difficult, due to its ...
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Tangentially-fired furnaces (TFF) are vortex-combustion units and are widely used in steam generators of thermal power plants. Perfect modeling and simulation of furnace gas temperature is quite difficult, due to its complex aerodynamics of burning particles, flame stability and hot gas flow distribution throughout the furnace. The temperature of the furnace gas depends on many parameters such as the inclination angle (tilt angle), fuel quality, burn out percentage and the flow rates in the burners for each of the furnace corners. However, the measurements are not available in the existing furnace operated at Neyveli Lignite Corporation (NLC), Neyveli. Thus, state estimation of temperature is an important prerequisite for safe and economical process operations. It is an integral part of applications such as process monitoring, fault detection and diagnosis, process optimization, and model-based control. Because all the process variables are generally not measured, an observer can be designed to generate an estimate of the state by making use of the relevant process inputs, outputs, and process knowledge, in the form of a mathematical model. The aim is to design a good state estimator for the furnace. Linear Kalman Filter (LKF) and Extended Kalman Filter (EKF) algorithms are developed for this problem and simulation results are compared.
Physically-based method is the most popular approach for simulating textile. For obtaining realistic cloth animation, some related factors need to be considered, including animation model, material properties, integra...
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Physically-based method is the most popular approach for simulating textile. For obtaining realistic cloth animation, some related factors need to be considered, including animation model, material properties, integration technique etc. Internal and external forces are accumulated from which accelerations are computed based on dynamic equation. An integration method is then used to update velocities and positions of the object. In this paper, we proposed a novel method to simulate cloth animation. The in-plane forces are derived based on continuum model, and out-of-plane forces are added discretely. We use implicit integration method to solve motion equation. In addition, constraints are imposed to avoid penetration. Compared with other existing method, the proposed method can simulate the non-uniform wrinkled cloth with different material property, but also is stability.
Abstract This paper shows the existence of Lur'e-Postkinov Lyapunov functions for the generalized multivariable discrete-time Popov criterion. The nonlinearities in the Lur'e system considered here are monoton...
Abstract This paper shows the existence of Lur'e-Postkinov Lyapunov functions for the generalized multivariable discrete-time Popov criterion. The nonlinearities in the Lur'e system considered here are monotonic, sector- and slope-restricted. We discuss the cases where the nonlinearities are diagonal and non-diagonal. Our derivation is based on the discrete-time Kalman-Yakubovich-Popov (KYP) lemma and the S-Procedure, and results in Linear Matrix Inequality (LMI) conditions which can be solved using convex optimization methods.
作者:
Li, G.Heath, W.P.Herrmann, G.School of Engineering
Computing and Mathematics University of Exeter North Park Road Exeter EX4 4QF United Kingdom Control Systems Centre
School of Electrical and Electronic Engineering University of Manchester Manchester M13 9PL United Kingdom ACTLab.
Department of Mechanical Engineering University of Bristol University Walk Bristol BS8 1TR United Kingdom
We develop an anti-windup (AW) compensator synthesis approach using Integral Quadratic Constraints (IQC). The synthesis finds the AW compensator that achieves a specified robustness against additive or input multiplic...
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Common algorithmic problem is an optimization problem, which has the nice property that several other NP-complete problems can be reduced to it in linear time. A tissue P system with cell division is a computing model...
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Common algorithmic problem is an optimization problem, which has the nice property that several other NP-complete problems can be reduced to it in linear time. A tissue P system with cell division is a computing model which has two basic characters: intercellular communication and the ability of cell division. The ability of cell division allows us to obtain an exponential amount of cells in linear time and to design cellular solutions to computationally hard problems in polynomial time. We here present an effective solution to the common algorithmic decision problem using a family of recognizer tissue P systems with cell division.
This paper is concerned with the problem of Hα filtering for a class of discrete-time linear parameter-varying (LPV) systems with Markovian switching under data missing and quantization. A stochastic variable is used...
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The contribution is devoted to the study of image segmentation and texture analysis to find image features invariant to image components rotation and translation. The main part of the paper presents the principle of R...
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The contribution is devoted to the study of image segmentation and texture analysis to find image features invariant to image components rotation and translation. The main part of the paper presents the principle of Radon transform and its use in combination with the wavelet transform to find features minimizing their variance due to image components rotation. Proposed methods have been verified for simulated structures and then used for analysis of biomedical images including magnetic resonance images of the brain and orthodontic images. The goal of image processing included in all cases (i) segmentation of selected biomedical objects and (ii) detection of their features.
In this paper an experiment designed and performed to verify the possibility of efficient windowing utilized in time domain with the Mallat type wavelet decomposition scheme is described. The main idea is that the use...
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In this paper an experiment designed and performed to verify the possibility of efficient windowing utilized in time domain with the Mallat type wavelet decomposition scheme is described. The main idea is that the used filters are designed not in the Fourier domain but in a domain of any of the 16 DTTs. It is demonstrated that the windowing technique, which reduces the number of the required computations up to 34 times, results in the error with statistically assessed PSNR of ca. 40 dB (from 36 to over 50 dB). The PSNR is obtained from MSE computed with an assumption that the processed signal is a realization of the first order Markov process with a given intersymbol correlation. If necessary, the reconstruction is assumed to be perfect.
Recently, Gutierrez-Naranjo and Leporati considered performing basic arithmetic operations on a new class of bioinspired computing devices -- spiking neural P systems (for short, SN P systems). However, the binary enc...
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Recently, Gutierrez-Naranjo and Leporati considered performing basic arithmetic operations on a new class of bioinspired computing devices -- spiking neural P systems (for short, SN P systems). However, the binary encoding mechanism used in their research looks like the encoding approach in electronic circuits, instead of the style of spiking neurons (in usual SN P systems, information are encoded as the time interval between spikes). In this work, three SN P systems are constructed as adder, subtracter and multiplier, respectively. In these devices, a number is inputted to the system as the interval of time elapsed between two spikes received by input neuron, the result of a computation is the time between the moments when the output neuron spikes.
This paper deals with the problem of software sensor (state estimation) to study the continuous age structured model of a harvested fish population,in order to get an estimation of the biomass of fishes by age *** our...
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This paper deals with the problem of software sensor (state estimation) to study the continuous age structured model of a harvested fish population,in order to get an estimation of the biomass of fishes by age *** our case the fishing effort is considered as a control term,the age classes as a states and the quantity of captured fish as a measured *** continuous non-linear model is first represented by a Takagi-Sugeno ***,we develop a technique for designing a multimodel software sensor (called also observer) corresponding to this system and show its asymptotic *** design conditions are given in linear matrix inequalities (LMI) terms which can be solved efficiently using existing numerical *** simulation results demonstrate the effectiveness of the proposed method.
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