Biblio
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Author [ Title] Type Year Filters: Author is Behera, Laxmidhar [Clear All Filters]
“Adaptive fuzzy nonsingular fast terminal sliding mode control for spacecraft formation flying”, in IEEE First International conference on Control, Measurement and Instrumentation, Kolkata, India, 2016, pp. 408–413.
, “Event-Triggered Finite-Time Integral Sliding Mode Controller for Consensus-Based Formation of Multirobot Systems With Disturbances”, IEEE Transactions on Control Systems Technology, pp. 1–9, 2017.
, “Fault tolerant formation control of nonholonomic robots using fast adaptive gain nonsingular terminal sliding mode control”, IEEE Systems Journal (Accepted), 2018.
, , “Formation Control of Non-holonomic Robots using Artificial Potential Field and Fuzzy Sliding Mode Control with Adaptive Tuning Technique”, in International conference on advances in control and optimization of dynamical systems, IISc Bangalore, India (won 2nd best paper award), 2012, pp. 1–9.
, “Multi-Agent Formation Control using Adaptive Fuzzy Sliding Mode Control”, in International UKIERI workshop on Brain computer Interface and assistive robotics, July 2011,University of Ulster, UK., 2011.
, “Multisatellite Formation Control for Remote Sensing Applications Using Artificial Potential Field and Adaptive Fuzzy Sliding Mode Control”, IEEE Systems Journal, vol. 9, pp. 508–518, 2015.
, “Robust adaptive gain higher order sliding mode observer based control-constrained nonlinear model predictive control for spacecraft formation flying”, IEEE/CAA Journal of Automatica Sinica, vol. 5, pp. 367–381, 2018.
, “Robust adaptive gain nonsingular fast terminal sliding mode control for spacecraft formation flying”, in Decision and Control (CDC), 2015 IEEE 54th Annual Conference on, 2015, pp. 5314–5319.
, “Swarm aggregation using artificial potential field and fuzzy sliding mode control with adaptive tuning technique”, in American Control Conference (ACC), 2012, 2012, pp. 6184–6189.
, “Tracking control of spacecraft formation flying using Fuzzy sliding mode control with adaptive tuning technique”, in Fuzzy Systems (FUZZ), 2013 IEEE International Conference on, 2013, pp. 1–8.
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