Results 21 to 30 of about 95,139 (292)
A solution to the blow-up problem in adaptive controllers [PDF]
Modeling, Identification and Control, 1985 This paper addresses the blow-up problem associated with the parameter estimation part of an adaptive controller. A partial solution to the problem has been devised by the introduction of a variable forgetting factor. However, this does not eliminate the
Steinar Sælid +2 more
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The effect of job similarity on forgetting in multi-task production [PDF]
, 2019 For many decades, research has been done on the effect of learning and forgetting for manual assembly operations. Due to the evolution towards mass customization, cycle time prediction becomes more and more complex.
Aghezzaf, El-Houssaine +5 more
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EURASIP Journal on Advances in Signal Processing, 2017 In this work, we present low-complexity variable forgetting factor (VFF) techniques for diffusion recursive least squares (DRLS) algorithms. Particularly, we propose low-complexity VFF-DRLS algorithms for distributed parameter and spectrum estimation in ...
Ling Zhang +3 more
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On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor [PDF]
, 2019 Recent work suggests that synaptic plasticity dynamics in biological models of neurons and neuromorphic hardware are compatible with gradient-based learning (Neftci et al., 2019).
Neftci, Emre +3 more
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IEEE Access, 2023 Fast and accurate detections of state-of-health (SoH) are urgently required by various industrial sectors to facilitate reuse and recycling of Li-ion batteries.
Yuan Mao +3 more
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A Supervisor for Control of Mode-switch Process [PDF]
, 1994 Many processes operate only around a limited number of operation points. In order to have adequate control around each operation point, and adaptive controller could be used. When the operation point changes often, a large number of parameters would have
Hilhorst, R.A. +4 more
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Improved variable forgetting factor recursive least square algorithm [PDF]
2012 12th International Conference on Control Automation Robotics & Vision (ICARCV), 2012 In this paper an improved variable forgetting factor recursive least square (IVFF-RLS) algorithm is proposed. The forgetting factor is adjusted according to the square of a time-averaging estimate of the autocorrelation of a priori and a posteriori errors.
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Variable Gain Iterative Learning Control with Forgetting Factor
IOP Conference Series: Materials Science and Engineering, 2018 In order to improve the convergence speed of iterative learning control and reduce the fluctuation of the system error, a class of linear steady-state systems is considered. The convergence of the algorithm and error fluctuations are studied by introducing the variable-gain idea into the D-type iterative learning control algorithm with variable ...
Yizhen Gan, Qingshan Zeng
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Factors Affecting the Development of Workforce Versatility [PDF]
, 2012 Among all strategies supporting the firms' flexibility and agility, the development of human resources versatility holds a promising place. This article presents an investigation of the factors affecting the development of this flexibility lever, related
Attia +22 more
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Describing the Role of Authentic Leadership in Intentional Organizational Forgetting, Given the Mediatory Role of Personnel Empowerment [PDF]
پژوهشهای مدیریت عمومی, 2017 Extended Abstract Much research has been done about authentic leadership, which indicates its effect on organizational factors such as performance, organizational citizenship behaviour, human resource empowerment, trust to management, organizational ...
Samane Mohammadpour, Amin Reza Kamalian
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