Modelling and control of a cyber-physical system represented by hydraulic coupled tanks

Author(s):  
Dominik Voscek ◽  
Anna Jadlovska
2017 ◽  
Vol 10 (13) ◽  
pp. 319
Author(s):  
Ankush Rai ◽  
Jagadeesh Kannan R

Under external environment stimuli seedlings undergo variation of morphology and alterations in its genetic sequences. Phytochrome signaling i.e., feedback reaction of plants to photons and other nutrient cycle plays a crucial role in its maturation. In this research work we create a cyber physical system to control such morphogenesis of plants through the help of artificial intelligence framework which identifies and control the crucial feedback between plant’s genetic transcription with respect to the external stimuli such as nutrients, electricity, magnetism. This leads to autonomously grow a plant without its disadvantageous traits by destabilizing its negatively acting transcriptional regulators and enhance the plant’s advantageous features by controlling its positively acting transcriptional regulators. This has leaded us to control the plant metabolism, plant growth without soil, manipulate the immunity of plant against disease, develop a plant metabolic profile and maximizes its yield deprived off from its seasonal attribute. 


Author(s):  
Chao Liu ◽  
Pingyu Jiang

Social factory is served as the production node of social manufacturing communities/network to make manufacturing factories shift to the internet-based ones. The social factory aims to deal with fast-changing production requirements, sharing and competing of product orders, flexible resource configuration, ubiquitous interconnections, and real-time production monitoring and control. To achieve these visions, an extended cyber-physical system-enabled social factory model is proposed by integrating current cyber-physical system with machining equipment, social sensors, and smart workpieces. Within the proposed social factory model, the system framework and runtime logic are presented, and some core concepts such as extended cyber-physical system node, social sensor, and smart workpiece are clarified. Based on that, the social factory model is implemented by developing diverse extended cyber-physical system nodes and then connecting them with humans to form a collaborative production network where humans can access and control the machines anywhere and anytime. To validate the proposed social factory framework, a flexible production line in our lab is regarded as an extended cyber-physical system-enabled social factory to demonstrate the decentralized production interaction and cooperation.


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