Inverse and Control Problems have become very active, interdisciplinary research area over the past two decades. Both inverse problems and control problems are closely related to each other and have found wide application in science and engineering, industry, medicine, finance as well as life and earth sciences
The term inverse problem refers to the problem of determining unknown quantities based on observations of their effects. This is in contrast to the corresponding direct problem, the solution of which involves finding effects based on a complete description of their physical parameters. Inverse problems are typically harder to solve numerically than direct problems since they are often ill- posed, in contrast to direct problems which are, in general, well –posed.
Optimal control problems arise from the necessity to control and influence the behavior of physical systems by as little external effort as possible. Many physical systems are based on mathematical models involving partial differential equations. The purpose of Optimal Control is to influence the behavior of a dynamical system in order to achieve a desired goal. Optimal control has a large variety of applications where the dynamics can be controlled optimally, such as aerospace, aeronautics, chemical plant, mechanical systems, finance and economics, but also to solve inverse problems here the goal is to determine input data in an equation from its solution values.
The objective of this programme is to provide a forum for researchers from the world to present and exchange their latest research achievements on Inverse Problems and Optimal Control, as well as their applications. It also aims to promote collaborative research on Inverse Problems and Optimal Control in India and abroad. This will encourage international collaboration and interactive activities on inverse problems and optimal control and provide an opportunity for young researchers and students to learn the current state of the art techniques in the fields and interact with experts in this field.