exact ideal
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2021 ◽  
Vol 16 (4) ◽  
pp. 47-64
Author(s):  
Wojciech Gamrot

Lockean justifi cations of intellectual property postulate the appropriation of immaterial entities, in various contexts called types, patterns, designs, or technologies. It is widely believed that the ownership of such entities gives the owner a right to control their physical embodiments and prohibit imitation. For the prohibition to be meaningful, a condition identifying forbidden objects must be formulated. It must cover not only objects which are identical to some original artifact or its exact, ideal description, but also those which are only similar. This requires systematic answers to three questions: (1) which material structures and which of their subsets should be compared? (2) which of their characteristics should be compared? (3) how to combine these characteristics into a decision rule for token identification? There is no underlying empirical reality that could be independently consulted by individuals in order to incontestably answer these questions. Meanwhile constant evolution in technology and arts requires addressing them repeatedly. Consequently, intellectual property regimes must rely on political institutions incessantly dictating the scope of prohibition, and hence they cannot originate or exist in a prelegal state of nature.


2018 ◽  
Vol 30 (3) ◽  
pp. 390-396
Author(s):  
Hiroya Nagata ◽  
Soichiro Yokoyama ◽  
Tomohisa Yamashita ◽  
Hiroyuki Iizuka ◽  
Masahito Yamamoto ◽  
...  

Proportional-integral-derivative (PID) controllers are a classical control algorithm that are still widely used owing to their simplicity and accuracy. However, tuning the three parameters is difficult. No methods have been known to determine the exact ideal combination of the P, I, and D gains. Moreover, controlling a system that contains dynamics changes over time using fixed parameters is difficult. A self-tuning neuro-PID controller is applied to a balloon robot for indoor entertainment to enhance its accuracy in following a target trajectory. Our experiment shows the effectiveness of the neuro-PID controller over conventional hand-tuned PID controller.


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