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Combined H ∞-Feedback Control and Iterative Learning Control Design With Application to Nanopositioning Systems.

, , , , , , , and . IEEE Trans. Control. Syst. Technol., 18 (2): 336-351 (2010)

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Two degree of freedom control for nanopositioning systems: Fundamental limitations, control design, and related trade-offs., and . ACC, page 1664-1669. IEEE, (2009)Control techniques for high-speed dynamic mode imaging in atomic force microscopes., , and . CDC/ECC, page 651-656. IEEE, (2011)Feedback scheme for improved lateral force measurement in atomic force microscopy., , and . ACC, page 3182-3187. IEEE, (2008)Combined H ∞-Feedback Control and Iterative Learning Control Design With Application to Nanopositioning Systems., , , , , , , and . IEEE Trans. Control. Syst. Technol., 18 (2): 336-351 (2010)Reinforcement learning-based dynamic obstacle avoidance and integration of path planning., , and . Intell. Serv. Robotics, 14 (5): 663-677 (2021)Distance estimation with semantic segmentation and edge detection of surround view images., , and . Intell. Serv. Robotics, 16 (5): 633-641 (November 2023)Two degree of freedom robust optimal control design using a linear matrix inequality optimization., , and . CDC, page 714-719. IEEE, (2009)Deep Reinforcement Learning of Semi-Active Suspension Controller for Vehicle Ride Comfort., , and . IEEE Trans. Veh. Technol., 72 (1): 327-339 (2023)Correction: Distance estimation with semantic segmentation and edge detection of surround view images., , and . Intell. Serv. Robotics, 17 (2): 373 (March 2024)