The Control and Optimization group aims to perform quality and impactful research in the fundamental areas of Control and Optimization and also in the emerging subdisciplines that lie at the ever-expanding intersection of these areas. Along with theoretical research, the group also actively works on practical applications of the developed methods on hardware platforms. Various theoretical, applied and laboratory-based courses are being offered by the group, which have been carefully designed to build a foundation in control and optimization and lead the students to the state of the art.
The group works in developing fundamental methods of systems and control theory, ranging from linear and nonlinear analysis and control, infinite-dimensional systems, identification and estimation, decision sciences, optimisation techniques, and in emerging areas of data driven and learning based methods in control. Our research focuses on a broad range of applications.