Lecture Topics : 

Speaker: Vivek Natarajan

Topic: Vibration Control

Vibration control problems are ubiquitous in many industries. These problems have been addressed in the control literature under the heading of output regulation theory. In a series of lectures, we will introduce the basic principle of this theory, namely the internal model principle, and teach various controller design techniques based on this principle for solving vibration control problems.

Speaker: Navin Khaneja

Topic: Control of Quantum Systems

Quantum control is the use of electromagnetic fields to control electrons, spins, atoms and molecules. These problems are characteristically different from classical control problems. The system is bilinear, control enters multiplicatively and evolution is on a curved space, a Lie group. Applications range from traditional settings of spectroscopy to future avenues in quantum computing and technologies.

Speaker: Srikant Sukumar

Topic: Coordination and Control of Aerial/Space Vehicles

Control of systems modeled as rigid bodies has strong applications in control of satellites and aerial vehicles such as multirotors. In both cases, the orientation and the position play a key role in task completion. We will look at the design of tracking control for such dynamics as well as study coordinated control for space/aerial vehicles. We will rely on methods from nonlinear Lyapunov theory for controller design for such systems.

Speaker: Arpita Sinha

Topic: Motion Planning

Motion planning is a fundamental problem in robotics. It involves finding a path or trajectory for a robot to move from a start to a goal position while avoiding obstacles and respecting various constraints. This problem is critical for enabling robotic systems to operate safely and effectively in complex environments. The course will provide an understanding of the principles, algorithms, and techniques used in motion planning for robotic systems. It will include lab sessions on implementing motion planning algorithms.