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  • 1
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    Comparison of continuous and discrete adaptive identification algorithms (1977)
    In:  Other Sources
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    Publication Date: 2019-06-27
    Description: Discretization of a popular continuous-time control algorithm is effected and an equivalent discrete-time identification law developed and compared to a published discrete identification algorithm developed from Lyapunov Theory. Results are compared as regards asymptotic stability as insured using Lyapunov theory. Some analysis and design guidelines are proposed as regards implementation and practical utility.
    Keywords: CYBERNETICS
    Format: text
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    NASA TECHNICAL REPORTS
  • 2
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    Extended Lyapunov stability criterion using a nonlinear algebraic relation with application to adaptive control (1976)
    In:  Other Sources
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    Publication Date: 2019-06-27
    Description: A new nonlinear stability criterion is developed by use of a class of Lyapunov functionals for model-reference adaptive systems (MRAS). Results are compared with traditional results, and a comparative design technique is used to illustrate its function in improving the transient response of an MRAS controller. For a particular system structure and class of input signals, the new stability criterion is shown to include traditional sufficiency stability conditions as a special case. An example is cited to illustrate the use of the nonlinear criterion and its definite advantages in helping improve the adaptive error transient response of a system. Analysis of results is effected by use of a linearization technique on the resulting adaptive equations.
    Keywords: CYBERNETICS
    Type: AIAA Journal; 14; May 1976
    Format: text
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    NASA TECHNICAL REPORTS
  • 3
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    Error magnitude estimation in model-reference adaptive systems (1975)
    In:  Other Sources
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    Publication Date: 2019-07-13
    Description: A second order approximation is derived from a linearized error characteristic equation for Lyapunov designed model-reference adaptive systems and is used to estimate the maximum error between the model and plant states, and the time to reach this peak following a plant perturbation. The results are applicable in the analysis of plants containing magnitude-dependent nonlinearities.
    Keywords: CYBERNETICS
    Type: Electricity: An expanding technology; Apr 06, 1975 - Apr 09, 1975; Charlotte, NC
    Format: text
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    NASA TECHNICAL REPORTS
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