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Comments, with reply on 'Continuous time relay-controlled model reference adaptive-system' by A. Abdulkareem and R. Nagarajam
(1989-07-01)
An adaptive scheme is shown by the authors of the above paper (ibid. vol. 71, no. 2, pp. 275-276, Feb. 1983) for continuous time model reference adaptive systems (MRAS), where relays replace the usual multipliers in the ...
Comments, with reply on 'Continuous time relay-controlled model reference adaptive-system' by A. Abdulkareem and R. Nagarajam
(1989-07-01)
An adaptive scheme is shown by the authors of the above paper (ibid. vol. 71, no. 2, pp. 275-276, Feb. 1983) for continuous time model reference adaptive systems (MRAS), where relays replace the usual multipliers in the ...
Experimental evaluation of combined model reference adaptive controller in a pH regulation process
(WILEY, 2002)
An experimental evaluation of the combined model reference adaptive control (CMRAC) is presented in this paper. This adaptive control scheme was used to control a relatively complex process like the pH of a solution in a ...
Adaptation to chronic benign pain in elderly adults
(Investigación y Educación en Enfermería, 2015)
Objective. This study sought to comprehend and analyze the
experience of living with chronic benign pain during aging
from the perspective of the adaptation model by Callista Roy.
Methodology. Ours was an exploratory ...
A reference model as automated process for software adaptation at runtime
(Ieee-inst Electrical Electronics Engineers Inc, 2015-01-01)
The development of self-adaptive software (SaS) has specific characteristics compared to traditional one, since it allows that changes to be incorporated at runtime. Automated processes have been used as a feasible solution ...
Improving The Control Energy In Model Reference Adaptive Controllers Using Fractional Adaptive Laws
(2016)
This paper presents the analysis of the control energy consumed in model reference adaptive control (MRAC) schemes using fractional adaptive laws, through simulation studies. The analysis is focused on the energy spent in ...
Efficient and Robust Model Benchmarks with Item Response Theory and Adaptive Testing
Progress in predictive machine learning is typically measured on the basis of performance comparisons on benchmark datasets. Traditionally these kinds of empirical evaluation are carried out on large numbers of datasets, ...
Physiologically driven, altitude-adaptive model for the interpretation of pediatric oxygen saturation at altitudes above 2,000 m a.s.l.
(American Physiological Society, 2019)
Measuring peripheral oxygen saturation (SpO2) with pulse oximeters at the point of care is widely established. However, since SpO2 is dependent on ambient atmospheric pressure, the distribution of SpO2 values in populations ...
Fully adaptive particle filtering algorithm for damage diagnosis and prognosis
(MDPI, 2018)
A fully adaptive particle filtering algorithm is proposed in this paper which is capable of updating both state process models and measurement models separately and simultaneously. The approach is a significant step toward ...