In this paper, a new approach is presented for robust filtering of a linear discrete-time signal by applying fictitious noise. Modeling errors, in both the numerator and denominator of the transfer functions, are para...
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ISBN:
(纸本)0780379241
In this paper, a new approach is presented for robust filtering of a linear discrete-time signal by applying fictitious noise. Modeling errors, in both the numerator and denominator of the transfer functions, are parameterized by using random variables with zero mean and known covariance. The robust performance is obtained by minimizing the mean square estimation error over all of the random parameter and noise. To derive a robust estimator, the uncertainties in the model are incorporated into two mutually uncorrelated fictitious noises with zero means. The covariances of the fictitious noises are computed by using two formulas that are presented in this paper. An illustrative example shows the effectiveness of our approach.
An innovative watermarking scheme based on progressive transmission with genetic algorithms (GA) is proposed. We implement the watermarking embedding and extraction system in the discrete cosine transform (DCT) domain...
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An innovative watermarking scheme based on progressive transmission with genetic algorithms (GA) is proposed. We implement the watermarking embedding and extraction system in the discrete cosine transform (DCT) domain, and apply the JPEG spectral selection mode for progressive transmission. By employing GA with a proper fitness function into the watermarking system, both the watermark imperceptibility and watermark robustness requirements are considered and optimized. In addition, the embedded watermark can be partly extracted in the receiver side even when the watermarked image is being transmitted. Simulation results show both the robustness and the effectiveness of progressive transmission under different attacking schemes and different bandwidth variations.
A real-time attitude estimation algorithm, namely the predictive Kalman filter, is presented . This algorithm can accurately estimate the three-axis attitude of a satellite using only star sensor measurements. The imp...
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A real-time attitude estimation algorithm, namely the predictive Kalman filter, is presented . This algorithm can accurately estimate the three-axis attitude of a satellite using only star sensor measurements. The implementation of the filter includes two steps: first, predicting the torque modeling error, and then estimating the attitude. Simulation results indicate that the predictive Kalman filter provides robust performance in the presence of both significant errors in the assumed model and in the initial conditions.
This paper presents an adaptive determination method of the information sharing factors employed in the federated Kalman filtering algorithm. This approach is based on generalised eigenvalue decomposition of the covar...
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This paper is concerned with the robust H ∞ control with exponent stability for a class of time delay uncertain systems. Attention is focused on the design of controllers such that the resulting closed loop system...
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This paper is concerned with the robust H ∞ control with exponent stability for a class of time delay uncertain systems. Attention is focused on the design of controllers such that the resulting closed loop system not only is exponentially stable but also satisfies, H ∞ disturbance attenuance via memoryless state feedback control. Sufficient conditions for feasibility are obtained in terms of LMIs. Moreover, optimization of LMI is considered such that the controller with low gain parameters is formulated.
Based on the feedback principle of a nature immune system, the immune process is imitated from the viewpoint of molecular dynamics and a nonlinear immune system model is developed. Furthermore, a novel control algorit...
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Based on the feedback principle of a nature immune system, the immune process is imitated from the viewpoint of molecular dynamics and a nonlinear immune system model is developed. Furthermore, a novel control algorithm based on the immune feedback principle is designed. According to the result of simulation, the algorithm can respond rapidly and stabilize quickly, just like the nature immune system does. It is shown that the performance of the immune feedback controller is superior to that of an ordinary controller.
It is well known that in motor systems, friction is the main factor that degrades the overall servo performance. PID controllers based on the velocity and acceleration signals feedback can be used to reduce the tracki...
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In this paper, we discuss the application of Programmable Logic controllers (PLCs) in the process monitoring and control for fuel alcohol production. The PLCs are mainly utilized for collecting process data as well as...
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The quality control chart is the main tool of quality control in a FMS. The pattern recognition of the quality control chart using a neural network is presented. Thus the pattern recognition of the quality control cha...
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The quality control chart is the main tool of quality control in a FMS. The pattern recognition of the quality control chart using a neural network is presented. Thus the pattern recognition of the quality control chart can be implemented automatically. The configuration of the neural network is simple, the capability of recognition is more powerful and training time is less than for existing methods. Six basic patterns can be quickly identified by this approach. The mixed pattern with two basic patterns can also be recognized. Simulation results are given in the paper.
Internet-based control system (IBCS) is being widely researched for its novel function of allowing any user to teleoperate any Internet-connected device via Internet. But the realization on the system's topology i...
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ISBN:
(纸本)0780374746
Internet-based control system (IBCS) is being widely researched for its novel function of allowing any user to teleoperate any Internet-connected device via Internet. But the realization on the system's topology is too superficial to discover its characters and advantages. Moreover, even some successful applications have shown it is possible to use the Internet for the real time remote control, research on the feasibility are so scarce that there is not a scale for the sense of the designs of real-time control over Internet. And the problem of real-time control caused by variable unpredictable time delay and package loss of Internet is still a primary hamper in the progress of IBCS, mainly because the model of the IBCS is not studied adequately. In this paper we firstly bring forward the concept of the Internet-distributed control system (IDCS) and its topology while two useful characters, self-organization and robustness, are introduced. The IDCS combining the Internet as a part of the control system is the general model of the IBCS. Then through a mathematical model of the IDCS, we show it is a nonlinear time-variable system with random character. Furthermore we prove that in an IDCS the requirement of real-time control with a sampling interval can not be satisfied completely and the feasibility of the requirement equals the real-time-ability of the control loop. According to this theory and considering the heterogeneous character of the IDCS, we propose a cooperative stream control scheme for multiple control streams called control streams manager (CSM), which is located at each component of IDCS and provides a cooperative stream control among multiple control streams.
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