[1] "Basics of Reinforcement learning and its application to control" for SERB Karyashala workshop on High-end workshop on Application of Artificial Intelligence in Power System Operation and Control at NIT Calicut, July, 2022

[2] "Reinforcement learning based controls strategies" for workshop on Emerging Learning Methods and Systems (ELMS) at IIT Tirupati, July, 2022

[3] "Stochastic model predictive control for LPV systems" for tutorial session on 2021 International Symposium of Asian Control Association on Intelligent Robotics and Industrial Automation (IRIA), IIT Goa, September, 2021

[4] "Event triggered state estimation with multiplicative noise: an optimization perspective" for TEQIP workshop on Data science and optimization in System and Control, IIT Guwahati, September, 2019

[1] "Energy Efficient Distributed Estimation and Control of Networked Robots and its Implementation Architectures”, IIT Palakkad Technology IHub Foundation (IPTIF), TIH NM-ICPS, 2021-2026. Status - ongoing

[2] "Indo-Norwegian Collaboration in Intelligent Offshore Mechatronics Systems (INMOST)", funded by Research Council of Norway - INTPART, 2021 - 2023. Status - ongoing

[3] "Feedback control of stochastic hybrid systems with state-dependent noise", funded by SERB - MATRICS, 2019-2022. Status - completed

Journals:

[9]. S. Challagundla, S. Chitraganti, P. Wali, "An efficient event-based state estimator for linear discrete-time system with multiplicative measurement noise", IEEE Control System Letters, v5:4, p.1315-1320, 2021. 

[8]. S. Challagundla, S. Chitraganti, P. Wali, "Event-based state estimation with multiplicative measurement noise and correlated additive noises", IEEE Control System Letters, v4:3, p.554-559, 2020. 

[7]. S. Chitraganti, S. Aberkane, "Event based estimation with correlated noises", Journal of the Franklin Institute, v356:13, p.7533-7547, 2019. 

[6]. S. Challagundla, S. Chitraganti, S. Aberkane, "Event based state estimation under the presence of multiplicative measurement noise", IEEE Control System Letters, v3:3, p.625-630, 2019. 

[5]. S. Chitraganti, S. Aberkane, "Stochastic H-infinity control of state dependent jump linear systems with state dependent noise", IET Control Theory & Applications, v13:9, p.1291-1297, 2019.

[4]. S. Chitraganti, R. Toth, N. Meskin, J. Mohammadpour, "Stochastic model predictive tracking of piecewise constant references for LPV systems", IET Control Theory & Applications, v11:12, p.1862-1872, 2017. 

[3]. M. A. Sid, S. Chitraganti, K. Chabir, “Medium access scheduling for input reconstruction under deception attacks”, Journal of the Franklin Institute, v354:9, p.3678-3689, 2017. 

[2]. S. Chitraganti, S. Aberkane, C. Aubrun, “Robust stabilization of a class of state-dependent jump linear systems”, Nonlinear Analysis: Hybrid Systems, v18, p.48-59, 2015. 

[1]. S. Chitraganti, S. Aberkane, C. Aubrun, G. Valencia-Palomo, V. Dragan, “On control of discrete-time state-dependent jump linear systems with probabilistic constraints: a receding horizon approach”, Systems & Control Letters, v74, p.81-89, 2014. 

Conferences:

[13]. S. Challagundla, S. Chitraganti, P. Wali, "Event-Based Distributed Filtering with Multiplicative Measurement Noise and Correlated Additive Noises", Proc. of 13th Asian Control Conference, Jeju Island, South Korea, pp 920-925, May, 2022.

[12]. S. Chitraganti, M. A. Sid, S. Aberkane, "Event Triggered Fault Detection in Linear Systems Using Generalized Likelihood Ratio Test", Proc. of 6th IFAC International Conference on Advances in Control and Optimization of Dynamical Systems, Hyderabad, India, pp 444-449, February, 2018.

[11]. S. Chitraganti, M. Darwish, "Nonlinear event-based state estimation using sequential Monte Carlo approach", Proc. of 56th IEEE Conference on Decision and Control, Melbourne, Australia, pp 2170-2175, December, 2017.

[10]. S. Chitraganti, R. Toth, N. Meskin, J. Mohammadpour, "Stochastic model predictive control for LPV systems", Proc. of 33rd American Control Conference, Washington, USA, pp 5654-5659, May, 2017.

[9]. M. A. Sid and S. Chitraganti, "Nonlinear event-based state estimation using particle filtering approach", Proc. of 8th International Conference on Modelling, Identification and Control, Algiers, Algeria, pp 874–879, November, 2016.

[8]. S. Chitraganti, S. Aberkane, C. Aubrun, T. Darure, “A receding horizon control of Markov jump linear systems with imperfect state information and probabilistic state constraints”, Proc. of 3rd IEEE International conference on control and Fault-tolerant systems, Barcelona, Spain, pp 611-617, September, 2016.

[7]. S. Chitraganti, S. Aberkane, C. Aubrun, “Stochastic stabilization of a discrete-time inhomogeneous Markov jump linear system with interval transition probability matrix”, Proc. of 3rd IEEE International conference on control and Fault-tolerant systems, Barcelona, Spain, pp 838-842, September, 2016.

[6]. S. Chitraganti, S. Aberkane, C. Aubrun, “State-feedback H infinity stabilization of state-dependent jump linear systems”, Proc. of 3rd IEEE International conference on control and Fault-tolerant systems, Barcelona, Spain, pp 698-703, September, 2016.

[5]. S. Chitraganti, S. Aberkane, C. Aubrun, “A novel mathematical setup for fault tolerant control systems with state-dependent failure process”, Proc. of 17th European Workshop on Advanced Control and Diagnosis, Berlin, Germany, Vol. 570. No. 8, pp 1-6, December 2014.

[4]. S. Chitraganti, S. Aberkane, C. Aubrun, “Stochastic stability and stabilization of state-dependent jump linear systems", Proc. of 2nd IEEE International conference on control and Fault-tolerant systems, Nice, France, pp 438-443, October, 2013.

[3]. S. Chitraganti, S. Aberkane, C. Aubrun, “Mean square stability of non-homogeneous Markov jump linear systems using interval analysis", Proc. of 12th European Control Conference, Zurich, Switzerland, pp 3724-3729, July, 2013.

[2]. S. Chitraganti, S. Aberkane, C. Aubrun, “Statistical properties of exponential weighted moving average algorithm for change detection”, Proc. of 51st IEEE Conference on Decision and Control, Maui, Hawaii, USA, pp 574-578, December, 2012.

[1]. D. Chakraborty and S. Chitraganti, “An approximate solution to the norm optimal control problem”, Proc. of 21st IEEE International Conference on Systems, Man, and Cybernetics, San Antonio, Texas, USA, pp 4490-4495, October, 2009.