in this paper, we study the problem of robust regulation for a class of linear uncertain systems which admit the so-called Recursive Augmentation Structure. This structure is known to be quadratically stabilizable and...
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It is a great challenge for a robot In space to track and capture a free-flying object in the future space operations. In previous research, most of them employed model-based method which requires robot model in advan...
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This paper focuses on an issue, the jamming condition of rigid bodies under Coulomb's friction law, involved in inserting a workpiece into the fixture system, where we assume point contacts between surfaces of bod...
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The global robust output feedback stabilization problem for nonlinear systems in output feedback form has been solved under a key assumption that the high-frequency gain sign is known. This paper deals with the same p...
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A robot drawing platform supporting five degrees of freedom (x, y, and z translation, z-rotation, and pitch) of a brush-pen movement is under development. The platform is aimed at the acquisition, learning, and execut...
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Aiming at the more and more serious traffic problem in large cities, this paper proposes a new architecture of urban traffic surveillance system based on the concept of sensor network. Since the speed and quality of c...
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We will show that, for the class of nonlinear lower-triangular systems, the robust servomechanism problem can be cast into a robust regulation problem for the same class of systems augmented by dynamic uncertainties. ...
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A new scheme for 3D reconstruction of implicit surfaces from large scattered point sets based on the radial basis functions (RBFs) is proposed in this paper. The partition of unity (POU) method and a binary tree is us...
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This paper presents a multi-biometric verification system that combines speaker verification, fingerprint verification with face identification. Their respective equal error rates (EER) are 4.3%, 5.1% and the range of...
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This paper presents a multi-biometric verification system that combines speaker verification, fingerprint verification with face identification. Their respective equal error rates (EER) are 4.3%, 5.1% and the range of (5.1% to 11.5%) for matched conditions in facial image capture. Fusion of the three by majority voting gave a relative improvement of 48% over speaker verification (i.e. the best-performing biometric). Fusion by weighted average scores produced a further relative improvement of 52%. We propose the use of fuzzy logic decision fusion, in order to account for external conditions that affect verification performance. Examples include recording conditions of utterances for speaker verification, lighting and facial expressions in face identification and finger placement and pressure for fingerprint verification. The fuzzy logic framework incorporates some external factors relating to face and fingerprint verification and achieved an additional improvement of 19%.
Even though the inverse method is less accurate than that of the incremental one,it has great potential in the conceptual design stage for its less calculation load and quick speed. However,it faces a number of unsolv...
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Even though the inverse method is less accurate than that of the incremental one,it has great potential in the conceptual design stage for its less calculation load and quick speed. However,it faces a number of unsolved problems,which limit its application. The first question is how to find a suitable initial solution while the other one is how to deal with the numerical problems caused by the vertical walls. In this paper,new methods have been proposed to solve above two questions. The methods have also been coded and applied to two parts to test its feasibility.
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