This paper considers the stability analysis problem of nD discrete-time systems. It is shown that the problems of stability test and stability margin computation for an nD system described by Roesser model can be reca...
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An optimal feedback law, which minimizes an objective function, also contains the delayed states and the stored states. It was not clear how to decide the design parameters using the control law. In this paper, we pre...
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ISBN:
(纸本)0780383524
An optimal feedback law, which minimizes an objective function, also contains the delayed states and the stored states. It was not clear how to decide the design parameters using the control law. In this paper, we present the stability conditions and describe the stability domain in the coefficient plane for an LMI. A design method for the optimal regulator is proposed and the control law is applied to the thixoforming system which involves an electric furnace.
A computer assisted fault detection methodology based on a fuzzy qualitative simulation algorithm is described. The adoption of fuzzy sets allows a more detailed description of physical variables, through an arbitrary...
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In this paper, problems related to the design of fault detection filters (FDF) for dynamic systems with unknown inputs are studied. Core of our study is to consider the design problems under two different residual eva...
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In this paper, problems related to the design of fault detection filters (FDF) for dynamic systems with unknown inputs are studied. Core of our study is to consider the design problems under two different residual evaluation functions, the i?2-norm and the peak amplitude of the residual signals. The background of this study is the fault detection strategy of using multi-residual evaluation functions, which is widely adopted in practice. Based on the above-mentioned two residual evaluation functions, different design schemes for FDF are formulated as multiobjective optimization problems, which are then solved using the well-established LMI-technique.
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.
The cooperative mechanism is one main issue in the decentralized supply chain system, especially in an asymmetric information structure. We analyze the non-cooperative game behavior of a 2-echelon distribution supply ...
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The cooperative mechanism is one main issue in the decentralized supply chain system, especially in an asymmetric information structure. We analyze the non-cooperative game behavior of a 2-echelon distribution supply chain, compare the results with the system optimal solution, and give the supplier dominated cooperative mechanisms. We also analyze the validity of our contract under the asymmetric retailers' holding cost information and give some useful conclusions.
Magnetic measurement is a typical inverse problem in Biomedical field. In this kind of problem we always need to locate the positions and moments of one or more magnetic dipoles. Although using the traditional methods...
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Magnetic measurement is a typical inverse problem in Biomedical field. In this kind of problem we always need to locate the positions and moments of one or more magnetic dipoles. Although using the traditional methods to solve this kind of inverse problem has all kinds of shortcomings, BPNN (Back Propagation Neural Networks) method can be used to solve this typical inverse problem fast enough for real time measurement. In the traditional BPNN method, gradient descent search method is performed for error propagation. In this paper the authors propose a new algorithm that Newton method is performed for error propagation. For the cost function is highly nonconvex in the magnetic measurement problem, the new kind of BPNN can get convergent results quickly and precisely. A simulation result for this method is also presented.
In this paper new necessary and sufficient conditions for static output feedback robust controller design for linear discrete time-invariant systems have been used. The output feedback robust controller design may be ...
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