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Showing 1 to 7 of 7 for “"Indirect Adaptive Control"”.

  1. Adaptive Control of Systems Containing Piecewise Linear Nonlinearities

    In this thesis, we present both a direct and an indirect adaptive control theory applicable to systems with piecewise linear nonlinearities. In contrast to most of adaptive nonlinear control, our result is applicable to the physically important asymmetric slope and deadzone nonlinearities.

    uiuc Repository record for Adaptive Control of Systems Containing Piecewise Linear Nonlinearities (opens in a new tab)

  2. Adaptive control of nonlinear discrete-time systems and its application to control of a flexible-link manipulator

    … of this research work are to develop direct and indirect adaptive control strategies for discrete-time nonlinear systems and to investigate the applicability of the proposed schemes to adaptive tracking control of a flexible-link manipulator. The first problem considered is indirect adaptive

    concordia Repository record for Adaptive control of nonlinear discrete-time systems and its application to control of a flexible-link manipulator (opens in a new tab)

  3. Spacecraft trajectory tracking and parameter estimation in the presence of a splitting contact binary asteroid

    … parameters of a newly-formed binary system and controlling a spacecraft’s trajectory in the system’s vicinity is investigated. An indirect adaptive control scheme is utilized to simultaneously and accurately meet both objectives. Finally, a simpler control scheme, based only on 2-body dynamics …

    uiuc Repository record for Spacecraft trajectory tracking and parameter estimation in the presence of a splitting contact binary asteroid (opens in a new tab)

  4. Control of neuronal circuits: from biology to robotics

    Rhythmic robotic controllers often take inspiration from neuroscience. Due to the complexity of biophysical neurons, neuro-inspired controllers are frequently founded on abstract models such as non-linear oscillators. Such controllers retain some of the desirable properties of neuronal circuits, …

    cambridge Repository record for Control of neuronal circuits: from biology to robotics (opens in a new tab)

  5. Spatiotemporal systems: gradual variations, identification, adaptation and robustness

    … varying (LSTV) systems when the underlying controllers are designed based on local linear spatiotemporally invariant (LSTI) approximants. We show that the l_infinity to l_infinity performance of global LSTV systems cannot be much worse than the worst frozen spatially and temporally …

    uiuc Repository record for Spatiotemporal systems: gradual variations, identification, adaptation and robustness (opens in a new tab)

  6. System Identification and Adaptive Closed-Loop Glucose Control in a Type 1 Diabetic Swine Model

    An integrated, automated, adaptive control system, utilizing model predictive control, is developed for closed-loop control of blood glucose in type 1 diabetes, and is experimentally tested using insulin-glucagon infusion pumps to regulate blood glucose online in a diabetic swine model in vivo. As …

    uiuc Repository record for System Identification and Adaptive Closed-Loop Glucose Control in a Type 1 Diabetic Swine Model (opens in a new tab)

  7. Neural network based adaptive control for autonomous flight of fixed wing unmanned aerial vehicles

    … collection and processing units based on micro-controller and PC104 architectures are developed and discussed. These units are also used to program the identification and control algorithms. Flight control of fixed wing UAVs is a challenging task due to the coupled, time-varying, nonlinear …

    unsw Repository record for Neural network based adaptive control for autonomous flight of fixed wing unmanned aerial vehicles (opens in a new tab)