Monitoring and control of cyber-physical systems.
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Submitted by Claire Tomlin on Wed, 10/30/2013 - 1:59pm
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Submitted by Christos Cassandras on Wed, 10/30/2013 - 1:56pm
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Submitted by krogh on Wed, 10/30/2013 - 1:49pm
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Submitted by aranya on Wed, 10/30/2013 - 1:25pm
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Submitted by Andre Platzer on Wed, 10/30/2013 - 1:19pm
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Abstract:
One of the urgent tasks for wastewater reclamation plants (WRPs) is to develop a cost effective infrastructure upon the existing facilities to meet the new regulations on the concentration of total ammonia nitrogen required by USEPA by 2014.
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Abstract:
Today's computer systems are mostly built with volatile memory components such as flip- flops, SRAM, and SDRAM, except for secondary non-volatile storage. As a result, traditional computer systems quickly lose information stored in memory if the power supply is interrupted even for a short period of time. Unfortunately, such volatile devices present significant limitations for computations on embedded cyber-physical systems that have to rely on unreliable power sources.
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Abstract:
Analytically predicting the behavior of physical systems is generally not possible. For example, the three dimensional nature of physical systems makes it provably impossible to express closed--form analytical solutions even simple systems. This limitation makes experimentation the primary modality for designing new cyber--physical systems.
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Abstract:
One grand challenge facing the nascent field of cyber-physical systems is the human-machine interface. Complex systems such as teleoperated space robots, telesurgery robots, and wheel-chair mounted assistive robots involve various levels of human intervention and proximity of the human operator to the artificial system.
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Abstract:
We propose concepts for intelligent, adaptive cyber-physical systems that adaptively control information acquisition through the choice of sensor configurations to interact with the physical environment. Our focus is on a novel aspect of cyber-physical systems, intelligent sensing, to control information acquisition under sensing budget constraints in support of critical decision tasks.
