Control, estimation, and learning for complex systems

The Systems, Control and Learning (SCaLe) Lab is based in the Department of Mechanical Engineering at the Indian Institute of Technology Madras.

Our research brings together control theory, estimation, and machine learning to understand and regulate nonlinear dynamical systems. We connect theoretical analysis and stability guarantees with applications to engineering systems, including magnetically confined fusion plasmas.

Research directions

Nonlinear and adaptive control

Feedback design, constrained control, and adaptive estimation with an emphasis on stability and convergence guarantees.

Learning and estimation

Reproducing kernel Hilbert space methods, reinforcement learning for feedback control, and data-driven models of dynamical systems.

Fusion plasma control

Control and optimization methods for tokamaks, including density regulation, profile control, and actuator allocation.

Connect with SCaLe Lab

Interested in our research, in joining the lab, or in exploring a collaboration? Get in touch.