Wichita State University - Electrical & Comp. Engineering
Lakshmikanth
G.S.
Padhi
R.
Watkins
J.M.
Steck
J.E.
“Adaptive Flight Control Using Single Network Adaptive Critic Aided Nonlinear Dynamic Inversion
” AIAA Journal of Aerospace Information Systems (JAIS)
Vol.11: 785-806
10.2514/1.I010165
Adaptive Flight Control Using Single Network Adaptive Critic Aided Nonlinear Dynamic Inversion
Lakshmikanth
G.S.
Reed
S.
Watkins
J.
Steck
J.E.
“Single Network Adaptive Critics (SNAC) + Optimal Control Modification (OCM) for Fast Adaptation of MRAC Flight Control
” Proceedings of AIAA Infotech@Aerospace (I@A) Conference
August 2013
Boston
MA
DOI: 10.2514/6.2013-5208
Single Network Adaptive Critics (SNAC) + Optimal Control Modification (OCM) for Fast Adaptation of MRAC Flight Control
Steck
J.E.
Lakshmikanth
G.S.
Watkins
J.M.
“Adaptive Critic Optimization of Dynamic Inverse Control
” Proceedings of AIAA Infotech Conference
Garden Grove
CA
June 2012
Adaptive Critic Optimization of Dynamic Inverse Control
Nobleheart
W.
Lakshmikanth
G.S.
Chakravarthy
A.
Steck
J.E.
“Single Network Adaptive Critic (SNAC) Architecture for Optimal Tracking Control of a Morphing Aircraft during a Pull-up Maneuver
” Proceedings of AIAA Guidance
Navigation and Control (GNC) Conference
August 2013
Boston
MA
AIAA 2013 – 5003
DOI: 10.2514/6.2013- 5003
Single Network Adaptive Critic (SNAC) Architecture for Optimal Tracking Control of a Morphing Aircraft during a Pull-up Maneuver
Lakshmikanth
G.S.
Padhi
R.
Watkins
J.M.
Steck
J.E.
“Single Network Adaptive Critic Aided Nonlinear Dynamic Inversion for Suboptimal Command Tracking
” Proceedings of the IEEE Multi Systems Conference
Denver CO
Sep. 2011
pp. 1347-1352
Single Network Adaptive Critic Aided Nonlinear Dynamic Inversion for Suboptimal Command Tracking
Lakshmikanth
G.S.
Padhi
R.
Watkins
J.M.
Steck
J.E.
“SNAC Aided Dynamic Inversion for Optimal Regulation and Command Tracking with Online Adaptation for Enhanced Robustness
” Journal of Optimal Control Applications and Methods
Volume 35
Issue 4
pages 479–500
July/August 2014
DOI: 10.1002/oca.2083
SNAC Aided Dynamic Inversion for Optimal Regulation and Command Tracking with Online Adaptation for Enhanced Robustness
Bellahdid
L.
Lakshmikanth
G.S.
Chakravarthy
A.
Steck
J.E.
“Single Network Adaptive Critic (SNAC) Design for a Morphing Aircraft
” Proceedings of AIAA Guidance
Navigation and Control Conference
Minneapolis
MN
August 2012
AIAA 2012 – 4614
Single Network Adaptive Critic (SNAC) Design for a Morphing Aircraft
Geethalakshmi
S.Lakshmikanth Ph.D.
Wichita State University
Emporia State University
Wichita State University
Embry-Riddle Aeronautical University - Worldwide
Wichita State University
Department of AE
•\tWorked on interfacing the hybrid controller that was developed as a part of my Ph.D dissertation with an optimal adaptive control scheme named the Optimal Control\nModification (OCM) technique which would further enhance the robustness of the controller. The results of this research were presented at the AIAA Guidance and Navigation Control conference
- August 2013 at Boston
MA\n•\tWorked on the development of a nonlinear control design technique that uses the principle of Approximate Dynamic Programming optimization to optimize a dynamic inverse controller. This led to “Adaptive Critic Optimization of Dynamic Inverse\nControl” presented at AIAA Infotech 2012 conference in June 2012.\n•\tWorked with a Ph.D student on applying SNAC to a morphing aircraft
results were presented at AIAA GNC 2012 and AIAA GNC 2013 conferences.\n•\tWorked on analyzing the stability of the nonlinear system developed above using Lyapunov stability analysis
whose results will be published in the AIAA journal of Aerospace and Information Systems.
Post Doctoral Research Fellow
Wichita State University
Dept. of Electrical Engineering
Courses Taught:\n\n\tCS 194 - Digital Circuit Design\n\tCS 211 – C Programming\n\tEE 282 – Electrical Circuit Analysis\n\tEE 492 – Electronic Circuit Analysis\n\tEE 684 – Introductory Control Systems Concepts\n\tEE 792 – Linear Systems and Design\n\nHave consistently received excellent student evaluation (SPTE) scores.
Adjunct Faculty Member
Wichita State University
Daytona Beach
Florida Area
Effectively instruct undergraduate and graduate courses
online
in the areas of electrical engineering
systems engineering and mathematics.
Adjunct Assistant Professor
Embry-Riddle Aeronautical University - Worldwide
Instructing 'Programming with C++'
Wichita State University
Emporia State University
School of Business
Emporia
Kansas
Assistant Professor ( Information Systems)
Dept. of Aerospace Engineering
•\tWorking on Neuro-Adaptive control design funded by NASA's Integrated Resilient Adaptive Control (IRAC) team.\n•\tHave developed a new technique for neuro-adaptive control based on the Single Network Adaptive Critic to extend its advantages of optimal control to command following applications as well.
Graduate Research Assistant
Wichita State University
As an Adjunct faculty member at WSU
I have also had the opportunity to work with a graduate student in the Dept. of EECS in the development of Brain Neural Computer Interface that would improve the quality of living in ALS patients. Our poster was selected to be presented at the prestigious
annual Capitol Graduate Research Symposium (CGRS) event on Feb 11th and 12th 2015.
Government of Kansas
Best Paper Award - Artificial Neural Networks in Business Systems - Roles and techniques
Academy of Business Research
Government of India's M.H.R.D scholarship
Government of India
Research Funding by NASA's IRAC team
NASA -WSU
2014 Phenomenal Woman Award Nomination
Wichita State University
2013 Dora Wallace Hodgson Outstanding Doctoral Dissertation Award
Wichita State University - Graduate School
Best Paper Award - Back Propagation in Stock Market Prediction - A Survey
Academy of Business Research
Doctor of Philosophy (Ph.D.)
Artificial Neural Networks
Nonlinear Optimal control
Wichita State University
GPA 4.0
Master of Technology (M.Tech.)
National Institute of Technology Karnataka
GPA 4.0
Bachelor of Engineering (B.E.)
Electrical
Electronics and Communications Engineering
Bangalore University
GPA
Quality Matters Certified
QM Quality Matters
Online Readiness Course
Emporia State University
ESU-14275087
Teaching
C
Approximate Dynamic Programming
Microsoft Office
Research
Nonlinear Dynamics
Artificial Neural Networks
C++
Matlab
Nonlinear Control
Microsoft Excel
Neural network design
Engineering
Simulations
Linux
Adaptive flight control
Microsoft Word
Programming
Back- Propagation in Stock Market Prediction - A Survey
Back- Propagation in Stock Market Prediction - A Survey
Artificial Neural Networks in Business Systems - Roles and Techniques