4.7 Article

Adaptive Regulation of Discrete-Time Nonaffine Systems With Parametric Uncertainty

Journal

IEEE TRANSACTIONS ON AUTOMATIC CONTROL
Volume 66, Issue 5, Pages 2365-2371

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2020.3006855

Keywords

Uncertainty; Adaptive control; Nonlinear dynamical systems; Regulation; Adaptive regulation; discrete-time passive systems; global stability; nonaffine inputs; nonlinear parameterization; zero-state detectability

Funding

  1. NSFC [61533009, 61573088, KCYKYQD2017005]

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This article investigates the global adaptive stabilization problem for discrete-time nonlinearly parameterized systems with nonaffine inputs. By utilizing the notion of passivity and the idea of small bounded feedback, a discrete-time adaptive controller is proposed to globally adaptively stabilize a class of non-affine systems with unknown parameters, under certain stability and controllabilitylike rank conditions.
This article investigates the problem of global adaptive stabilization for discrete-time nonlinearly parameterized systems with nonaffine inputs. Using the notion of passivity and the idea of small bounded feedback, we present a discrete-time adaptive controller that globally adaptively stabilizes a class of non-affine systems with unknown parameters, under the assumptions that the unforced dynamics are stable and the controllabilitylike rank conditions hold. The latter is shown to be characterizable by the vector fields f(x, 0, theta) and partial derivative f/partial derivative u (x, 0, theta), together with their Lie derivatives and Lie brackets in discrete time.

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