An LMI approach to robust model predictive control of nonlinear systems with state-dependent uncertainties
Ojaghi, Pegah, Bigdeli, Nooshin, Rahmani, Mehdi
Published in Journal of process control (01.11.2016)
Published in Journal of process control (01.11.2016)
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Curriculum Is More Influential Than Haptic Information During Reinforcement Learning of Object Manipulation Against Gravity
Ojaghi, Pegah, Mir, Romina, Marjaninejad, Ali, Erwin, Andrew, Wehner, Michael, Valero-Cueva, Francisco J
Year of Publication 13.07.2024
Year of Publication 13.07.2024
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A Model Predictive Control Framework for Hybrid Dynamical Systems⁎⁎This research has been partially supported by the National Science Foundation under CAREER Grant no. ECS-1450484, Grant no. ECS-1710621, and Grant no. CNS-1544396, by the Air Force Office of Scientific Research under Grant no. FA9550-16-1-0015, by the Air Force Research Laboratory under Grant no. FA9453-16-1-0053, and by CITRIS and the Banatao Institute at the University of California
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