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In this paper a combined controller composed of the H∞ virtual controller and the sliding mode controller is proposed to improve the rigid spacecraft robustness. Considering the strong nonlinearity of the spacecraft dynamics, tensor product (TP) transformation is applied on the linear parameter varying (LPV) model which is obtained from the attitude kinematics system. The TP-based H∞ controller can...
This paper proposes an H∞ polytopic filter design for a nonlinear system. Based on the polytopic approximation of the nonlinear system, the polytopic filter design is converted into a group of linear matrix inequalities (LMIs) so that the polytopic filter parameters can be effectively acquired by numerical convex optimization algorithms. At this stage, the tensor product (TP) model transformation...
Pattern recognition system is frequently applied in many security applications, for example, intrusion detection, face recognition, spam mail filtering, etc. These applications may potentially face different kinds of attacks from an adversary. Some studies showed Multiple Classifier Systems (MCSs) is more robust than single classifiers under an adversarial attack. This paper investigates the robustness...
In this paper, a particle swarm optimization (PSO) based audio watermarking scheme is proposed. The watermark is embedded by modifying singular values of the host audio signal with the spread spectrum method. The designed optimization technique employs PSO to search for optimal watermark strength by keeping adapting the fitness values so that the conflicting requirements of robustness and imperceptibility...
Digital watermarking has become an important technique for copyright protection, and various watermarking schemes have been proposed. Singular Value Decomposition (SVD) has been used as a valuable transform technique for robust digital watermarking due to some superior characteristics not obtained by DCT, DFT or DWT. In this paper, we present a new robust hybrid image watermarking scheme based on...
A new method based on the Discrete Cosine Transform (DCT) and the Otsu method for blur detection in image sequences is proposed in this paper. In the first step, the standard deviation (STD) and the DCT coefficients are utilized to detect blurred and homogeneous areas in each image. Then, the Otsu method is used to calculate an adaptive threshold in each segment of the image sequence. Our experiments...
By combining Fractional Spectral Subtraction (FSS) with Perceptual Linear Predictive (PLP), a hybrid method of noise robustness speech recognition isinvestigated in this paper. This method uses FSS for noisy speech to reduce noise components in the fractional Fourier domain. According to the results ofcomputing Itakura distance and Mean Square Error (MSE), an approximate optimal fractional order is...
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