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Control and Systems Theory

This research area includes mathematics and applications of control theory and on those parts of optimization theory concerned with the dynamics of deterministic or stochastic systems in continuous or discrete time; modeling, estimation, and approximation of complex biological, physical, and engineering systems and their control.

Upcoming Conferences

SIAM Conference on Control and Its Applications (CT19)

June 19 - 21, 2019
Chengdu, China
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What's New

What's New


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Opportunities

We know it can be overwhelming to keep track of career opportunities that may be relevant to you as a member of the SIAM community. So, we’ve compiled lists of some of our favorite fellowship, internship, and research opportunities. Check ‘em out!

Fellowships

Looking for financial support to further your research? Fellowships often provide funding plus experiential learning opportunities to young researchers. Learn more about fellowship opportunities.

 

Internships

Internships allow you to network and forge connections for future job possibilities, while also exploring possible areas of interest. Look at this list of companies who offer valuable opportunities.        

 

Research Opportunities

Our community is founded on igniting groundbreaking developments in applied math and computational science. Take a deeper dive into your area of study with one of these opportunities.

 

Activity Groups and Journals

Related Activity Group

  • Control and Systems Theory
This activity group fosters collaboration and interaction among mathematicians, engineers, and other scientists in those areas of research related to the theory of systems and their control. It seeks to promote the development of theory and methods related to modeling, control, estimation, and approximation of complex biological, physical, and engineering systems.

Related Journal

  • Control and Optimization
SIAM Journal on Control and Optimization (SICON) consists of research articles on the mathematics and applications of control theory and on those parts of optimization theory concerned with the dynamics of deterministic or stochastic systems in continuous or discrete time or otherwise dealing with differential equations, dynamics, infinite-dimensional spaces, or fundamental issues in variational analysis and geometry.

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