Simulation-based optimum sensor selection design for an uncertain EMS system via Monte-Carlo technique

Optimum sensor selection in control system design is often a non-trivial task to do. This paper presents a systematic design framework for selecting the sensors in an optimum manner that simultaneously satisfies complex system performance requirements such as optimum performance and robustness to st...

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Bibliographic Details
Main Authors: Konstantinos Michail, Argyrios C. Zolotas, Roger Goodall
Format: Default Conference proceeding
Published: 2011
Subjects:
Mechanical engineering not elsewhere classified
Optimum sensor selection
Modern control design
EMS systems
Monte Carlo
Genetic algorithms
Mechanical Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/9258
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