Projects

Convex semi-infinite programs: algorithms for fast and exact solutions

Funding agency: SERB
Duration: 2022-25

Digital reconstruction of ancient Indian engineering via machine learning

Jointly with Bharath Shekar and Vivek Natarajan

Funding agency: DST
Duration: 2019-2022

Optimal control via discrete mechanics for reusable launch vehicles

Jointly with Ravi Banavar and U. P. Rajeev (at VSSC Trivandrum)

Funding agency: ISRO
Duration: 2018-2021

Spacecraft orientation manoeuvres under state-action constraints: Phase II

Jointly with Ravi Banavar and Harish Joglekar (at ISAC Bangalore)

Funding agency: ISRO
Duration: 2017-19

Objective

Development of algorithms for generation of optimal state-action trajectories for finite-time ballistic and servomechanism controllability problems under state-action-frequency constraints.

Selected publications

P. Paruchuri, S. Kotpalliwar, K. S. Phogat, D. Chatterjee, and R. Banavar
A frequency-constrained geometric Pontryagin maximum principle on matrix Lie groups.
To appear in International Journal of Robust and Nonlinear Control.
- doi
- arXiv preprint
P. Paruchuri and D. Chatterjee
A discrete time Pontryagin maximum principle under state-action-frequency constraints.
IEEE Transactions on Automatic Control, Vol. 64, No. 10, pp. 4202-4208, 2019.

Spacecraft orientation manoeuvres under state-action constraints: Phase I

Jointly with Ravi Banavar and Harish Joglekar (at ISAC Bangalore)

Funding agency: ISRO
Duration: 2014-17

Objective

Development of algorithms for generation of optimal state-action trajectories for finite-time attitude maneouvres of spacecraft under state-action constraints.

Selected publications

K. S. Phogat, D. Chatterjee, and R. Banavar
A discrete-time Pontryagin maximum principle on matrix Lie groups.
Automatica, Vol. 97, pp. 376-391, 2018.
- doi
- arXiv preprint
- Received an Automatica Paper Prize, 2020
- Experiment based on this work

K. S. Phogat, D. Chatterjee, and R. Banavar
Discrete-time optimal attitude control of a spacecraft with momentum and control constraints.
Journal of Guidance, Control, and Dynamics, Vol. 41, No. 1, pp. 199-211, 2018.
- doi
- arXiv preprint

Optimization based control over networks

Funding agency: IRCC, IIT Bombay
Duration: 2012-17

Objective

Fundamental study of performance and qualitative behaviour of optimal and optimization based control under uncertainties that are typical in networks, with special emphasis on random packet drops and denial of service.

Selected publications

P. K. Mishra, D. Chatterjee, and D. Quevedo
Stabilizing stochastic predictive control under Bernoulli dropouts.
IEEE Transactions on Automatic Control, Vol. 63, No. 6, pp. 1489-1500, 2018.
- doi
- arXiv preprint
P. K. Mishra, D. Chatterjee, and D. Quevedo
Sparse and constrained stochastic predictive control for networked systems.
Automatica, Vol. 87, pp. 40-51, 2018.
- doi
- arXiv preprint
P. K. Mishra, D. Chatterjee, and D. Quevedo
Output feedback stochastic predictive control with hard input constraints.
IEEE Systems & Control Letters, Vol. 1, No. 2, pp. 382-387, 2017.
- doi
- arXiv preprint (contains corrections to typos)
S. Srikant and D. Chatterjee
A jammer’s perspective of reachability and LQ optimal control.
Automatica, Vol. 70, pp. 295-302, 2016.
- doi
- arXiv preprint
D. Chatterjee, M. Nagahara, D. Quevedo, and K. S. Mallikarjuna Rao
Characterization of maximum hands-off control.
Systems & Control Letters, Vol. 94, pp. 31-36, 2016.
- doi
- arXiv preprint
D. Chatterjee and J. Lygeros
Stability and performance of stochastic receding horizon control.
IEEE Transactions on Automatic Control, Vol. 60, No. 2, pp. 509-514, 2015.
- doi
- arXiv preprint