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Showing 1 to 5 of 5 for “"model perturbation"”.

  1. Geometric Control of Ensemble Systems

    … steering of robot swarm under bounded model perturbation. However, investigating fundamental properties of such ensemble systems remains a significant challenge, as it is beyond the scope of classical control theory. In this thesis, we study fundamental control problems associated with …

    wustl Repository record for Geometric Control of Ensemble Systems (opens in a new tab)

  2. Functional fault modeling and test vector development for VLSI systems

    … at the same pace as the technology. The fault-models proposed for LSI systems are no longer capable of testing VLSI devices efficiently. Thus the stuck-at and short/open fault models are outdated. Despite this fact, these old models are used in the industry with some modifications. Also, these …

    vt Repository record for Functional fault modeling and test vector development for VLSI systems (opens in a new tab)

  3. Ensemble control of robotic systems

    … the plate-ball manipulator---in the presence of model perturbation that scales all inputs by an unknown but bounded constant. The basic idea is to maintain the set of all possible configurations and to select inputs that reduce the size of this set and drive it toward some goal configuration. The …

    uiuc Repository record for Ensemble control of robotic systems (opens in a new tab)

  4. Theoretical and computational studies in seismic tomography

    … for the application of the Hessian to a model perturbation. Chapter 3 sets out an approach for determining a suitable function space to use as a model space in geophysical inverse problems, including seismic tomography. In particular, we show that a Sobolev space is often a suitable …

    cambridge Repository record for Theoretical and computational studies in seismic tomography (opens in a new tab)

  5. Inverse optimal control for differentially flat systems with application to lower-limb prosthetic devices

    … learning controllers for stair ascent, we need a model of locomotion that is capable of generating exemplar trajectories for any desired stair height. Motivated by this challenge, we focus on a class of learning from demonstration methods called inverse optimal control. Inverse optimal control is …

    uiuc Repository record for Inverse optimal control for differentially flat systems with application to lower-limb prosthetic devices (opens in a new tab)