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A. Galip Ulsoy
Division Director

Directorate for Engineering link to the eng home page

Dynamic System Modeling, Sensing and Control (DSMSC)

Photo: Dr. M. Tomizuka Photo: Dr. S.C. Liu
Dr. M. Tomizuka
Program Director
Dr. S.C. Liu
Program Director
Ms. Mary Johnson
Program Assistant

The Dynamic System Modeling, Sensing and Control (DSMSC) program supports research on the fundamental engineering concepts, theories and their experimental validations for modeling, analysis, simulation and control of dynamic systems, including study of new control methods, acoustics, vibrations, system complexity and kinematics relationships.  This program also supports research on information technologies as related to smart and adaptive civil and mechanical systems at all physical scales, including study of new technologies for sensing and acquiring information; multiple and intelligent system functionality; and modeling, synthesis, simulation, and prototyping of intelligent systems and their components including smart structures.  The DSMSC research will advance the knowledge base for integration of sensors, actuators, controllers, and power sources for adaptive and mechatronic applications.

Dynamic Systems and Control (DSC)

The Dynamic Systems and Control (DSC) program element supports research to establish fundamental advances in the understanding of time varying phenomena underlying system dynamic behaviors, including acoustics, vibrational responses, and kinematic relationships.  The program also supports research that leads to advances and novel developments in control system technologies and strategies with broad applicability to both mechanical and civil systems.

Sensor Technologies for Civil and Mechanical Systems (STCMS)

The Sensor Technologies for Civil and Mechanical Systems (STCMS) program element supports research on acquiring and using information about civil and mechanical systems to improve their safety, reliability, cost, and performance.  This includes research that extends the knowledge base for development of advanced sensors for solution of inverse problems related to system identification and characterization, and for implementation of real time autoadaptive system performance capabilities that use the sensed information.  Examples of research areas to be supported include innovative developments in sensor technologies, analytical strategies for CMS monitoring, and active noise and vibration control technologies.

Last update: 10-Feb-2004

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