Learning Accurate and Stable Point-to-Point Motions: A Dynamic System Approach

Author(s):  
Yu Zhang ◽  
Long Cheng ◽  
Houcheng Li ◽  
Ran Cao
2013 ◽  
Vol 6 (1) ◽  
pp. 15-28
Author(s):  
Cristiano M. A. Gomes ◽  
Hudson F. Golino ◽  
Bianca C. G. Costa

Psychological processes are difficult to be studied due to their complexity. The dynamic system approach shows itself as a good tool for psychology to deal with this complexity issue. We propose two fundamental contributions of the dynamic system approach to psychology and apply it in the study of achievement emotions, appraisal and cognitive achievement. Two hypotheses were investigated: 1) More than one correlation pattern between test achievement, appraisal and emotion will be found; 2) Test achievement, appraisal and emotion form a dynamic system which will be explained by a latent variable that is dependent on the previous state of the system. A sample of thirteen students from seventh to ninth grades performed an inductive reasoning test, appraised their achievement, and declared their emotional valences (from extreme positive to extreme negative). Each variable was measured in 20 different occasions. One correlation matrix of each individual was generated and seven qualitative profiles were identified. Then four different states of relations between the variables were identified through a hidden Markov model. The two hypotheses were not refuted. It’s concluded that the dynamic system approach brings new possibilities to the study of psychological processes. Key words: achievement emotion, appraisal, cognitive achievement, dynamic system approach, methodology.


Author(s):  
Guangxing Bai ◽  
Pingfeng Wang

Safe and reliable operation of lithium-ion batteries as major energy storage devices is of vital importance, as unexpected battery failures could result in enormous economic and societal losses. Accurate estimation of the state-of-charge (SoC) and state-of-health (SoH) for an operating battery system, as a critical task for battery health management, greatly depends on the validity and generalizability of battery models. Due to the variability and uncertainties involved in battery design, manufacturing, and operation, developing a generally applicable battery physical model is a big challenge. To eliminate the dependency of SoC and SoH estimation on battery physical models, this paper presents a generic self-cognizant dynamic system approach for lithium-ion battery health management, which integrates an artificial neural network (ANN) with a dual extended Kalman filter (DEKF) algorithm. The ANN is trained offline to model the battery terminal voltages to be used by the DEKF. With the trained ANN, the DEKF algorithm is then employed online for SoC and SoH estimation, where voltage outputs from the trained ANN model are used in DEKF state-space equations to replace the battery physical model. Experimental results are used to demonstrate the effectiveness of the developed self-cognizant dynamic system approach for battery health management.


2017 ◽  
Vol 3 (1) ◽  
pp. 51-57
Author(s):  
Emília Lívják

   The reality of the child's life is through bodily experience. The early-motion reflex correction program builds on body experiences. It is very important for the body to move consciously, feelings, body experiences, and feedback are important. According to Fodorné, it is not generally necessary to provide an ingenious environment but to develop sound stimulation programs during motion development. Progress should be considered in a dynamic system approach. The system is part of the whole personality of the child, physical and mental abilities, personal and physical environments, etc. The absence, multitude, excess, and unpredictable imbalance of the stimulus can have consequences. The theories of phenomenological thinkers, neuroscience, INPP movement, and psychology research are analyzed.


2006 ◽  
Vol 7 (1) ◽  
pp. 25-39
Author(s):  
Rachmini Saparita

The aim of this study was to identify population growth during 1960-2002, and also its projection until 2050. The study also analyzed its impact and look for alternative policies in overcoming the problem to fulfill food security. The model used in the study was dynamic system approach which analyzes previous events to predict the upcoming condition. The study result indicated that the population increased rapidly, and was predicted would continue growing fast. Population growth and food requirement per capita determined the level of requirement of total food. To reach food security, the requirement would be better fulfilling by domestic production and did not depend on import. The policy alternative, which consisted of farm harvest enlargement and technological adoptions, were proposed to meet domestic production exceeding the requirement. 


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