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Adaptive Architectures for Control of Uncertain Dynamical Systems with Actuator Dynamics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00325171" target="_blank" >RIV/68407700:21230/18:00325171 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.2514/4.104794" target="_blank" >http://dx.doi.org/10.2514/4.104794</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.2514/4.104794" target="_blank" >10.2514/4.104794</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Adaptive Architectures for Control of Uncertain Dynamical Systems with Actuator Dynamics

  • Original language description

    Stability properties of adaptive controllers can be seriously affected by the presence of actuator dynamics. Specifically, if the bandwidth of the actuator dynamics is sufficiently high, then a common practice is to neglect these dynamics in the design of adaptive controllers. However, if this is not the case and/or safety- critical applications of adaptive controllers are considered, then stability verification steps must be taken to show the allowable bandwidth range for actuators such that adaptive controllers lead to stable closed-loop system trajectories. Motivated from this standpoint, the purpose of this chapter is to present safe adaptive architectures for control of uncertain dynamical systems with actuator dynamics. We first present a linear matrix inequalities-based hedging framework, which modifies the ideal reference model trajectories to allow for correct adaptation that is not affected by the presence of actuator dynamics. Stability of the closed-loop dynamical system utilizing this framework is discussed using Lyapunov-based analysis tools. Next, we establish convergence properties of the modified reference model trajectories to the ideal reference model trajectories and present a generalization of the proposed linear matrix inequalities-based hedging framework to adaptive control. An algorithm is also presented to allow for less conservative computations of the minimum allowable actuator bandwidths as well as solving for cases in which there are multiple actuators. Finally, we illustrate the reported findings through an example on a linearized hypersonic aircraft model."

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Advances in Computational Intelligence and Autonomy for Aerospace Systems

  • ISBN

    978-1-62410-478-7

  • Number of pages of the result

    40

  • Pages from-to

    369-408

  • Number of pages of the book

    431

  • Publisher name

    AIAA

  • Place of publication

    Reston, VA

  • UT code for WoS chapter