Description of Activities: Research is conducted in the general areas of control theory with particular emphasis on geometric control, non-linear control, optimal control, sub-Riemannian geometry, distributed optimization, learning, stochastic control, stochastic stability, information and control, decentralized and networked control, and game theory.
|Maria Teresa Chiri||Optimal control, hyperbolic conservation laws, calculus of variations|
|Serdar Yüksel||Stochastic control theory, stochastic dynamical systems, robustness and learning, information theory, multi-agent systems|
|Kexue Zhang||Hybrid systems and control, functional differential equations on time scales|
|Affiliated Faculty||Primary Affiliation||Research Interests|
|Martin Guay||Chemical Engineering, Queen's University||Control theory, Process Control, Applied Statistics|
Graduate Courses Offered:
Math 830 Modern Control Theory
Math 834 Optimization Theory and Applications
Math 836 Lagrangian Mechanics, Dynamics, and Control
Math 844 Differentiable Manifolds
Math 839 Special Topics in Control
Math 872 Control of Stochastic Systems
Math 923 Topics in Analysis: Stochastic Calculus & Analysis
Math 949 Topics in Global Analysis
Application for graduate studies: Queen's provides an ideal environment to do graduate study in Mathematics and Engineering, Applied Mathematics or Mathematics or Statistics. Our course curriculum is rigorous and diverse. The applicants should follow the guidelines listed on our Application Information page. Typically students with backgrounds in mathematics / applied mathematics/ electrical and computer engineering / systems (mechanical, systems, industrial, aerospace) engineering with strong interests in mathematical sciences will find the graduate program very stimulating and rewarding. Our research environment is enhanced by an active group of graduate students, visiting scholars and post-doctoral fellows.