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ORCIDSumit Kumar Jha 0004
Person information
- affiliation: Indian Institute of Technology Delhi, New Delhi, India
Other persons with the same name
- Sumit Kumar Jha 0001
![[0000-0003-0354-2940]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0354-2940")
— Florida International University, Miami, FL, USA (and 4 more) - Sumit Kumar Jha 0002 — International Institute of Information Technology, Hyderabad, India
- Sumit Kumar Jha 0003 — Centre for Development of Telematics, Mehrauli, New Delhi, India
- Sumit Kumar Jha 0005 — Presidency University, Bangalore, India (and 1 more)
- Sumit Kumar Jha 0006 — Motilal Nehru National Institute of Technology Allahabad, India
- Sumit Kumar Jha 0007 — Applied Materials India Pvt. Ltd., Bangalore, India
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2020 – today
- 2020
[j3]Sumit Kumar Jha, Shubhendu Bhasin:
Adaptive linear quadratic regulator for continuous-time systems with uncertain dynamics. IEEE CAA J. Autom. Sinica 7(3): 833-841 (2020)
2010 – 2019
- 2019
- [j2]Sumit Kumar Jha, Sayan Basu Roy, Shubhendu Bhasin:
Initial Excitation-Based Iterative Algorithm for Approximate Optimal Control of Completely Unknown LTI Systems. IEEE Trans. Autom. Control. 64(12): 5230-5237 (2019) - [c5]Sumit Kumar Jha, Sayan Basu Roy, Shubhendu Bhasin:
Filter based Explorized Policy Iteration Algorithm for On-Policy Approximate LQR. SSCI 2019: 133-140 - 2018
- [j1]Sumit Kumar Jha, Sayan Basu Roy, Shubhendu Bhasin:
Direct Adaptive Optimal Control for Uncertain Continuous-Time LTI Systems Without Persistence of Excitation. IEEE Trans. Circuits Syst. II Express Briefs 65-II(12): 1993-1997 (2018) - [c4]Sumit Kumar Jha, Sayan Basu Roy, Shubhendu Bhasin:
Memory-Efficient Filter Based Novel Policy Iteration Technique for Adaptive LQR. ACC 2018: 4963-4968 - [c3]Sumit Kumar Jha, Sayan Basu Roy, Shubhendu Bhasin:
Memory-Efficient Filter-Based Approximate Optimal Regulation of Unknown LTI Systems Using Initial Excitation. CDC 2018: 1638-1643 - 2017
- [c2]Sumit Kumar Jha, Sayan Basu Roy, Shubhendu Bhasin:
Policy iteration-based indirect adaptive optimal control for completely unknown continuous-time LTI systems. SSCI 2017: 1-7 - 2014
- [c1]Sumit Kumar Jha, Shubhendu Bhasin:
On-policy Q-learning for adaptive optimal control. ADPRL 2014: 1-6
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