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  • Online Resource  (3)
  • SAGE Publications  (3)
  • Zhou, Di  (3)
  • 2015-2019  (3)
  • 2018  (3)
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  • Online Resource  (3)
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  • SAGE Publications  (3)
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  • 2015-2019  (3)
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  • 2018  (3)
  • 1
    Online Resource
    Online Resource
    SAGE Publications ; 2018
    In:  Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering Vol. 232, No. 16 ( 2018-12), p. 3078-3099
    In: Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, SAGE Publications, Vol. 232, No. 16 ( 2018-12), p. 3078-3099
    Abstract: Adaptive Kalman filtering was proposed to handle unknown prior statistics decades ago. The kernel idea of published mainstream works is to use residual-based adaptive estimation or its improved form to determine unknown noise levels to complete iteration equations inside Kalman filter. In this paper, innovative method of noise level estimation is proposed to enhance adaptive Kalman filter. Based on the observation that signal and noise concentrate on different frequency ranges, cluster analysis in frequency domain is made to determine the partitioning frequency and a digital filter is then applied to separate signal from noise. In the proposed method, the noise level and corresponding covariance matrices for adaptive Kalman filter is estimated from measured or predicted target variables separately, so the result is better than the existing residual-based adaptive estimation, which suffers from interferences between variables. The recognition of the guidance law of a chasing vehicle is highly valuable for predicting its future trajectory, evaluating, and optimizing the evasive guidance law of chased vehicle. It is a hard problem to recognize the guidance law parameters due to lack of prior knowledge about the chasing vehicle. In this paper, enhanced frequency divided adaptive Kalman filter is applied to perform guidance law parameter recognition. Digital simulation results show that in several different conditions, the recognition algorithm can provide better results than Sage-Husa.
    Type of Medium: Online Resource
    ISSN: 0954-4100 , 2041-3025
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2018
    detail.hit.zdb_id: 2032759-6
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  • 2
    Online Resource
    Online Resource
    SAGE Publications ; 2018
    In:  Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering Vol. 232, No. 9 ( 2018-07), p. 1787-1799
    In: Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, SAGE Publications, Vol. 232, No. 9 ( 2018-07), p. 1787-1799
    Abstract: A new guidance law considering missile autopilot dynamics is established via integrating a smooth super-twisting algorithm with nonlinear integral sliding mode. In this guidance law, a finite-time disturbance observer is introduced to estimate mismatched and matched disturbances resulting from target maneuvers. Based on Lyapunov stability theory, the finite-time stability of the closed-loop guidance system under this law is analyzed using a finite-time bounded function. The super-twisting algorithm guarantees that the proposed guidance law is chattering-free and the disturbance observer does not depend on the prior knowledge of target acceleration. So the proposed guidance law is easy to be implemented in practice. The finite-time convergence and robustness of the proposed guidance law are demonstrated via numerical simulations accounting for missile autopilot dynamics.
    Type of Medium: Online Resource
    ISSN: 0954-4100 , 2041-3025
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2018
    detail.hit.zdb_id: 2032759-6
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    Online Resource
    Online Resource
    SAGE Publications ; 2018
    In:  Advances in Mechanical Engineering Vol. 10, No. 12 ( 2018-12), p. 168781401881658-
    In: Advances in Mechanical Engineering, SAGE Publications, Vol. 10, No. 12 ( 2018-12), p. 168781401881658-
    Abstract: Product infant failure is the most crucial part of product quality risk that critically affects customer satisfaction. However, most of manufacturers lack sufficient understanding of the formation mechanism of product infant failure and quantitative infant failure risk modeling technology. These issues cause the inefficiency of warranty policy in preventing and controlling infant failure risk. Therefore, first, on the basis of the reverse mapping process of axiomatic design, an infant failure risk formation chain, that is, “process quality variation—physical defect—functional vulnerability—infant failure,” is proposed in this study by considering quality variation propagation and functional failure dependency to determine the inherent formation and dependent enlarging process of the risk. Second, on the basis of the risk formation chain, the infant failure risk is modeled from inherent risk and dependent risk. Specifically, the inherent infant failure risk is computed based on the stream of quality variation in production, whereas the dependent infant failure risk is computed by a Bayesian network by considering the functional failure dependency. Finally, a case study of an illustrative electromechanical system is introduced to verify the applicability of the proposed method. Result shows that the proposed method has a better performance in infant failure risk modeling.
    Type of Medium: Online Resource
    ISSN: 1687-8140 , 1687-8140
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2018
    detail.hit.zdb_id: 2501620-9
    Location Call Number Limitation Availability
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