Innovation-based adaptive estimationRelative entropyConfidence levelCubature Kalman filterAttitude estimationThe primary goal of the current project is considering uncertainty including dynamic system uncertaint
Centered Error Entropy Based Central Difference Kalman Filter for Nanosatellite Attitude Estimationdoi:10.1007/978-981-16-9492-9_306The noise is easily impacted by outliers in the complex space environment. In this case, the filtering accuracy of the classical central difference Kalman filter (CDKF) ...
Entropy-based adaptive attitude estimation. Acta Astronaut. 2018, 144, 271–282. [Google Scholar] [CrossRef] Simutis, R.; Lübbert, A. Hybrid approach to state estimation for bioprocess control. Bioengineering 2017, 4, 21. [Google Scholar] [CrossRef] [PubMed] © 2018 by the authors. ...
Each behavioural act is aimed at achieving an adaptive outcome and it is subserved by the actualization of functional systems consisting of elements distributed across the brain and the rest of the body. This paper proposes a system-evolutionary view on the activity of the heart and its ...
Adaptive Resonance Theory: How a brain learns to consciously attend, learn, and recognize a changing world. Neural Netw. 2013, 37, 1–47. [CrossRef] 28. Grossberg, S. Towards solving the hard problem of consciousness: The varieties of brain resonances and the conscious experiences that they ...
Adaptive Quadruped Balance Control for Dynamic Environments Using Maximum-Entropy Reinforcement Learning. Sensors 2021, 21, 5907. https://doi.org/10.3390/s21175907 AMA Style Sun H, Fu T, Ling Y, He C. Adaptive Quadruped Balance Control for Dynamic Environments Using Maximum-Entropy Reinforcement ...
Grossberg, S. Adaptive Resonance Theory: How a brain learns to consciously attend, learn, and recognize a changing world.Neural Netw.2013,37, 1–47. [Google Scholar] [CrossRef] Grossberg, S. Towards solving the hard problem of consciousness: The varieties of brain resonances and the conscious...