A non-linear pseudo-random number generator is proposed in this article. The value is produced by the generator and be mapped into binary series by piecewise mean. Experiments and statistics prove the binary series ha...
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When a micro cantilever with a nanoscale tip is manipulated on a substrate with atomic roughness, e.g., pushing an atomic-scale sample or etching the surface of the substrate to draw desired patterns, the periodical l...
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In real-life, many practical applications involve agents that are nonlinear and nonholonomic. This paper investigates output synchronization of multiple mobile agents in a plane. The output synchronization of mobile a...
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An ac voltage regulating system of doubly Salient. Electro-magnetic Generator has been performed in this paper. In order to maintain the high voltage 360VDC stable, the dual boost converter with fixed frequency PWM co...
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This paper proposes a novel robust sparse representation method, called the two-stage sparse representation (TSR), for robust recognition on a large-scale database. Based on the divide and conquer strategy, TSR divide...
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Edge and detail preserving is a very important requirement in blind medical denoising since the details can help doctors diagnosis diseases. Bilateral flter (BF) is a famous filter in preserving details while smoothin...
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We address the problem of 3D model based vehicle tracking from monocular videos of calibrated traffic scenes. A 3D wire-frame model is set up as prior information and an efficient fitness evaluation method based on im...
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ISBN:
(纸本)9781424475421
We address the problem of 3D model based vehicle tracking from monocular videos of calibrated traffic scenes. A 3D wire-frame model is set up as prior information and an efficient fitness evaluation method based on image gradients is introduced to estimate the fitness score between the projection of vehicle model and image data, which is then combined into a particle filter based framework for robust vehicle tracking. Numerous experiments are conducted and experimental results demonstrate the effectiveness of our approach for accurate vehicle tracking and robustness to noise and occlusions.
In this paper, the robust output regulation problem of a networked linear system with uncertainties is considered. Based on internal model, distributed control scheme is adopted to achieve the objectives of asymptotic...
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Accurate and effective parameter identification is an important engineering task in high performance control system design. One emerging approach to effectively identify such nonlinear or dynamic unknown parameters is...
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ISBN:
(纸本)9789746724913
Accurate and effective parameter identification is an important engineering task in high performance control system design. One emerging approach to effectively identify such nonlinear or dynamic unknown parameters is to use Particle Swarm Optimization (PSO) algorithm. Linear Permanent Magnet (LPM) motor is a high performance actuator employed in many applications that require direct linear motion without mechanical transmission for high acceleration and accurate positioning. Therefore, accurate motor parameters are necessary to effectively control the LPM motors. This paper proposes a simple PSO based method with chirp inputs to identify the LPM motor's parameters. The simulations and experiments are conducted to verify the results and determine the effectiveness of the proposed method.
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