BMC Sports Science, Medicine and RehabilitationBackground Vagally-mediated heart rate variability (vm-HRV) shows promise as a biomarker of internal training load (ITL) during exergame-based training or motor-cognitive training in general.
Patrick Manser, Eling D. de Bruin
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Comments on 'On the equivalence of causal LTI iterative learning control and feedback control
, 2004 The area of Iterative Learning Control (ILC) now has a large and increasing body of research with an increasing number of applications (supported by a sizable number of actual experimental verification studies). The paper by Goldsmith (Automatica, 38, pp.
Owens, D H, Rogers, E
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A survey of methods for handling initial state shifts in iterative learning control. [PDF]
Heliyon, 2023 Chen D, Lu T, Li G.
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, 2007 This thesis examines whether it is possible for a machine to incrementally build a complex model of its environment, and then use this model for control purposes. Given a sequence of noisy observations, the machine forms a piecewise linear approximation to the nonlinear dynamic equations that are assumed to describe the real world. A number of existing
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Iterative Learning Control-Informed Reinforcement Learning for Batch Process Control
CoRRA significant limitation of Deep Reinforcement Learning (DRL) is the stochastic uncertainty in actions generated during exploration-exploitation, which poses substantial safety risks during both training and deployment. In industrial process control, the lack of formal stability and convergence guarantees further inhibits adoption of DRL methods by ...
Runze Lin +4 more
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Norm optimal iterative learning control based on a multiple model switched adaptive framework
, 2013 In this paper a prominent class of iterative learning control (ILC) algorithm is reformulated in the framework of estimation-based multiple model switched adaptive control (EMMSAC). The resulting control scheme uses a bank of Kalman filters to assess the
Brend, O. +5 more
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Research on Deep Reinforcement Learning Control Algorithm for Active Suspension Considering Uncertain Time Delay. [PDF]
Sensors (Basel), 2023 Wang Y, Wang C, Zhao S, Guo K.
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Interaction learning control with movement primitives for lower limb exoskeleton. [PDF]
Front Neurorobot, 2022 Wang J, Wu D, Gao Y, Dong W.
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BEHAVIOR BASED CONTROL AND FUZZY Q-LEARNING FOR AUTONOMOUS FIVE LEGS ROBOT NAVIGATION
, 2009 This paper presents collaboration of behavior based control and fuzzy Q-learning for five legs robot navigation systems. There are many fuzzy Q-learning algorithms that have been proposed to yield individual behavior like obstacle avoidance, find target ...
Adil, Ratna
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Microlearning and Learning Performance in Higher Education: A Post-Test Control Group Study
This study aimed at evaluating the effectiveness of microlearning in higher education. The sample consisted of first-year MBA students, and a post-test control group design was used to assess the effectiveness of a microlearning module.
Nair, Sridevi +2 more
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