Restricted Research - Award List, Note/Discussion Page

Fiscal Year: 2018

2022  The University of Texas at San Antonio  (75840)

Principal Investigator: Taha, Ahmad (Principal Investigator) Giacomoni, Marcio (Co-PI) Gatsis, Nikolaos (Co-PI)  

Total Amount of Contract, Award, or Gift (Annual before 2011): $ 299,974

Exceeds $250,000 (Is it flagged?): Yes

Start and End Dates: 9/1/17 - 8/31/20

Restricted Research: YES

Academic Discipline: COE ELECTRICAL ENGINEERING COE CIVIL ENGINEERING  

Department, Center, School, or Institute: COE ELECTRICAL ENGINEERING COE CIVIL ENGINEERING  

Title of Contract, Award, or Gift: Collaborative Research: Cherry-Picking Sensors and Actuators for Topologically Evolving Networked Dynamical Systems: Battling Contamination in Water Networks

Name of Granting or Contracting Agency/Entity: Natl Science Fdn
CFDA Link: NSF
47.041

Program Title: N/A
CFDA Linked: Engineering Grants

Note:

A defining feature of modern networked dynamical systems (NDS) is the prevalence of reliable real-time sensing and actuation devices. GPS-enabled smart phones, water and energy smart meters, traffic lights, and your languid dishwasher can all have roles that transcend their individual, narrow functionality. In a conceivable future world of innovative NDSs, the smart and timely deployment of Sensors and Actuators (SaA)actuators that determine optimal control actions and sensors that cherry-pick time-critical data will lead to monumental socio-economic gains. The high-level objective of the proposed research is to create domain-independent scientific methods that guide NDS stakeholders in the real-time, adaptive selection of the most reliable SaAs for topologically evolving and uncertain NDSs. The uncertainty in NDSs is due to potential data-attacks against sensor data and SaA malfunctions. Most previous work on SaA selection for NDS has focused on problems of scheduling or one-time placement of SaAs in dynamic systems. In contrast, the proposed research will develop methodology for adaptively selecting SaAs as network conditions change. Such an approach can significantly enhance the resilience of NDSs to changes in topology and malicious data-attacks or SaAs malfunctions. The investigated theory promises significant practical impacts on quality control of contamination-free water distribution networks (WDN) equipped with high-tech mobile water SaAs.

Discussion: No discussion notes

 

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