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Showing 1 to 9 of 9 for “"Lagrangian Systems"”.

  1. Control of networked Lagrangian systems with delays

    Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2011-04-07T21:54:57Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 DissFiles.zip: 17030006 bytes, checksum: 92249adf3a2c3a3a4d466fa347b30556 (MD5) Rodriguez-Seda_Erick.pdf: 4405861 bytes, …

    uiuc Repository record for Control of networked Lagrangian systems with delays (opens in a new tab)

  2. Efficient Learning and Inference for High-dimensional Lagrangian Systems

    … to the unique structure associated with such systems. Many physical systems of practical interest in engineering are high-dimensional, which prohibits the application of standard learning methods to such problems. This first part of this work proposes therefore to solve learning problems …

    penn Repository record for Efficient Learning and Inference for High-dimensional Lagrangian Systems (opens in a new tab)

  3. Cooperative collision avoidance control and coordination for multiagent Lagrangian systems with disturbances

    Multi-agent systems like a network of autonomous robots, have tremendous potential in many military and civilian applications. But, even viewed as a pure academic problem, designing controllers for such complex systems is a matter of much interest. Controller design for multi-agent system might …

    uiuc Repository record for Cooperative collision avoidance control and coordination for multiagent Lagrangian systems with disturbances (opens in a new tab)

  4. Stability and robustness of adaptive controllers for underactuated Lagrangian systems and robotic networks

    … an adaptive control framework for underactuated Lagrangian systems and robotic networks. In particular, an adaptive control framework is designed for a manipulator, which operates on an underactuated dynamic platform. The framework promotes the use of a filter in the control input to improve the …

    uiuc Repository record for Stability and robustness of adaptive controllers for underactuated Lagrangian systems and robotic networks (opens in a new tab)

  5. Nonlinear control and synchronization of multiple Lagrangian systems with application to tethered formation flight spacecraft

    … on the synchronization of multiple dynamical systems using contraction theory, with applications to cooperative control of multi-agent systems and synchronization of interconnected dynamics such as tethered formation flight. Inspired by stable combinations of biological systems, contraction …

    mit Repository record for Nonlinear control and synchronization of multiple Lagrangian systems with application to tethered formation flight spacecraft (opens in a new tab)

  6. Output Synchronization of Networked Passive Systems

    … general problem of synchronization of multiple Lagrangian systems. The problems of multi-robot coordination and of bilateral teleoperation with time delay are shown to be special cases of our general results.

    uiuc Repository record for Output Synchronization of Networked Passive Systems (opens in a new tab)

  7. Practical Challenges in the Method of Controlled Lagrangians

    The method of controlled Lagrangians is an energy shaping control technique for underactuated Lagrangian systems. Energy shaping control design methods are appealing as they retain the underlying nonlinear dynamics and can provide stability results that hold over larger domain than can be obtained …

    vt Repository record for Practical Challenges in the Method of Controlled Lagrangians (opens in a new tab)

  8. Convergence of Kernel Methods for Modeling and Estimation of Dynamical Systems

    … for representing the uncertain dynamical systems, concerns also arise regarding the reliability of these methods. Recent developments in approximation theory provide a new perspective to studying these problems. This dissertation analyzes the convergence of two kernel-based, data-driven …

    vt Repository record for Convergence of Kernel Methods for Modeling and Estimation of Dynamical Systems (opens in a new tab)