IES Home PageText Box: 5-7 September 2010
Fort Douglas
University of Utah         
 Salt Lake City
Utah 84112, USA

 

· Invited Speaker I , Dr. Marc Olivier, Raytheon Sarcos

· Invited Speaker II, Professor Mikhail Skliar, University of Utah

 

Monday, 6th September 2010

Plenary Talk I:

 

Multi-Regime Sensor Networks for Information Intensive Systems”

 

Dr. Marc Olivier

VP Advanced Systems

Raytheon Sarcos

360 Wakara Way

Salt Lake City, UT 84108

 

Abstract: This presentation will discuss sensors, sensor network

architecture, communication protocols, as well as potential applications of

transducers developed in order to satisfy the largely unmet need of

closed-loop control of information intensive structures and high performance

machines of the future. Configuration, manufacturing, and performance

of MEMS and hybrid sensors developed to measure strain, multi-axis

strain, joint angle, pressure and other physical parameters will be

discussed. Examples of applications in systems ranging from aircraft,

submarines and unmanned ground vehicles to high performance exoskeleton

robots will be presented.

 

Tuesday, 7th September 2010

Plenary Talk II:

"Model Based Fusion of Multisensor Data"

Prof. Mikhail Skliar

Dept of Chemical Engineering

University of Utah

Salt Lake City, UT 84112

 

Abstract : This talk discusses the benefits of the model based approach,

such as the ability in integrate delayed and trajectory dependent

(systems with memory) measurements.  The interplay between model

and measurements uncertainties, and in particular the case where

an attempt is made to adapt model in real time leads to a nonlinear

problem even for linear systems with parametric uncertainties will be

reviewed.  Related issues would include different inferences that can

be drawn when the same measurements are used with different models. 

 

 

 

 

Plenary Speakers

Dr. Marc Olivier

Text Box: ?

Professor Mikhail  Skliar

Text Box: ?

IEEE 2010 International Conference on Multisensor Fusion and Integration for Intelligent Systems

 

IEEE MFI 2010