This paper is concerned with the problem of H ∞ filtering for linear continuous-time systems with uncertain time-varying parameters in the matrices of the state-space signal model. The admissible values of the parame...
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This paper is concerned with the problem of H ∞ filtering for linear continuous-time systems with uncertain time-varying parameters in the matrices of the state-space signal model. The admissible values of the parameters and their rates of variation are assumed to belong to a given polyhedral region. Based on a parameter-dependent Lyapunov function, which is quadratic in the uncertain parameters, we develop an LMI method for designing a linear stationary, asymptotically stable filter, which ensures a prescribed performance in a H ∞ sense.
This paper describes B-spline interpolation and compares it with other reconstruction methods, especially in three-dimensional space. We first consider the B-spline bases in the terms of convolution in signal processi...
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This paper describes B-spline interpolation and compares it with other reconstruction methods, especially in three-dimensional space. We first consider the B-spline bases in the terms of convolution in signal processing. The presented analysis requires careful usage of continuous and discrete representation of B-spline. Emphasis is given to the important difference between B-spline interpolation and approximation. The difference is shown through frequency domain analysis, so we derive frequency responses of the B-spline interpolation and approximation. We conclude by demonstrating the use of several reconstruction filters and appropriate gradient estimators in volume rendering. Exact reconstruction in volume visualization is very important in many industrial applications, such as material cavity control.
The volume data is generally in the form of the large array of numbers. In order to render the object hidden in the volumetric data, we need to reconstruct or interpolate data values between the samples. The novelty p...
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The volume data is generally in the form of the large array of numbers. In order to render the object hidden in the volumetric data, we need to reconstruct or interpolate data values between the samples. The novelty presented in this paper is B-spline interpolation in the volumetric space. We show that this approach is better than currently used methods. We also present a hybrid approach, analyze this approach in frequency domain and compare it to B-spline interpolation. To enhance the quality during the volume visualization process it is important to enhance the quality of the reconstruction. It is of crucial importance to explore different undesired effects. If better reconstruction is performed the more accurate result of volume visualization process is achieved.
The stabilisation control for a class of composite plants based on the concept of output feedback is investigated. A decentralised control is constructed to stabilise this class of large-scale systems with delay and t...
The stabilisation control for a class of composite plants based on the concept of output feedback is investigated. A decentralised control is constructed to stabilise this class of large-scale systems with delay and time varying uncertainties in the interconnections. The control action is based on the output feedback. Interconnections satisfy the so-called matching conditions. A sufficient condition is presented, which ensures uniform ultimate boundedness for both the subsystems and the overall system.
The stabilisation problem of linear, time-invariant, large-scale, composite systems with delays in the interconnections without any additional assumption on system structure are considered. It is shown basically that ...
The stabilisation problem of linear, time-invariant, large-scale, composite systems with delays in the interconnections without any additional assumption on system structure are considered. It is shown basically that time-delays in the interconnections do not create additional difficulties. The main results presented demonstrate that stabilisation control by the local memoryless state feedback for this class of systems is always possible.
A grey box model-based method for fault diagnosis is proposed in this paper. The method is based on a first principle model of the process unit: a heat exchanger, and on a grey box model of the faults: the deteriorati...
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A grey box model-based method for fault diagnosis is proposed in this paper. The method is based on a first principle model of the process unit: a heat exchanger, and on a grey box model of the faults: the deterioration of the heat transfer surface by aging and the leaking of the outer container. The deterioration of the heat transfer surface is due to material settling, and in old heat exchangers pieces of this material can break off and cause damage in the equipment. A recursive least squares estimator with forgetting factor is used to track both the heat transfer coefficients and the cold side volume. The heat transfer coefficients are estimated both from the hot and cold side equations. The settled material breakage fault is detected via detection of abrupt positive jumps in the estimated heat transfer coefficients using a detector based on a cumulative sum (CUSUM) test. The proposed method enables simultaneous detection of the two fault types considered. Fault localization along the equipment length is also possible when temperature measurements are available along the length.
This paper deals with nonlinear predictive control based on higher order Takagi-Sugeno fuzzy systems which can also be interpreted as generalized radial basis function networks. We investigate how the fuzzy models can...
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This paper deals with nonlinear predictive control based on higher order Takagi-Sugeno fuzzy systems which can also be interpreted as generalized radial basis function networks. We investigate how the fuzzy models can be linked to a special type of model based predictive control algorithm, namely the dynamic matrix control (DMC). Previously, purely linear step response models were used for long-range prediction. Here, the method is extended to nonlinear processes. Therefore, various step responses for different operating points are extracted from the fuzzy model. For performance evaluation, a heat exchanger is identified by means of the local linear model tree algorithm and controlled by the modified DMC.
The passivity property of dissipative mechanical structures has long been exploited in designing passive controllers that provide robust stability even in the presence of unmodeled dynamics of the system. For an input...
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The passivity property of dissipative mechanical structures has long been exploited in designing passive controllers that provide robust stability even in the presence of unmodeled dynamics of the system. For an input/output map of a flexible structure to be passive, collocation of the actuators and sensors is required and also the sensors should measure the velocity of the system. The so-called smart structures frequently have more sensors than actuators. Therefore, the passive controller can at best utilize only a subset of the sensors. In this paper we consider the design of a squaring down matrix which would render a system passive subject to some additional performance considerations. The problem of obtaining the synthesized passive output is cast as a set of linear matrix inequalities (LMIs) which can be efficiently solved by the LMI Toolbox in Matlab. We apply this procedure with the assumption that the sensors provide both displacement and velocity information which is generally not true. We show that the passive controllers can be implemented without the use of velocity information. By using synthesized passive outputs in addition to naturally occurring passive outputs, we obtain better system performance. We present experimental results involving a single flexible beam with torque input and hub angular position and strain gage outputs.
Time-varying electric loads, fluctuating around their nominal point, cause fluctuations also of current and power. The mean phasors of current and complex power differ from their nominal values, which results in a def...
Time-varying electric loads, fluctuating around their nominal point, cause fluctuations also of current and power. The mean phasors of current and complex power differ from their nominal values, which results in a deflection of mean power input. A transformation to a time-invariant equivalent circuit is introduced representing the mean values of voltage, current and power. The variances on the other hand contribute equations for a second phenomenon of fluctuating lends: the generation of disturbances in the power supply system. Results for both phenomena are derived for single-phase lends, validated by Monte-Carlo simulations, and generalized to three important kinds of three-phase bonds. Measured data from an electric arc furnace illustrate the application of ideas.
This paper describes a flexible and systematic implementation method of Petri Nets that can be applied to high speed parallel control. This paper suggests a hard-wired implementation for a high frequency clock-driven ...
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ISBN:
(纸本)0780327756
This paper describes a flexible and systematic implementation method of Petri Nets that can be applied to high speed parallel control. This paper suggests a hard-wired implementation for a high frequency clock-driven system with little jitter. To implement Petri Nets with synchronous (clock-driven) digital circuits, a Synchronous Petri Net is proposed. The suggested implementation method is based on a regular cell-array such as FPGA (field programmable gate array). Radix-k Petri Net and Radix-k conversion are defined to solve technology mapping problem of FPGA that consists of k-size cells. Cell usage, cell utilization, cell complexity, and speed index are defined and derived, which are used for quantitative analysis and efficient design. To help the design process, necessary CAD tools such as design entry library, hard-macro library, and net-list converter are developed. The suggested method is demonstrated using Xilinx FPGA, and its operation is verified by computer simulations.
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