1983 American Control Conference 1983
DOI: 10.23919/acc.1983.4788177
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Discrete Time Adaptive Control of Linear Dynamic Systems with a Two-Segment Piecewise-Linear Asymmetric Nonlinearity

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Cited by 6 publications
(13 citation statements)
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“…In [10][11], the authors derive identification algorithms for deterministic H models with discontinuous nonlinearities and design dead-zone compensated control law for the estimated systems. In [12][13], adaptive controllers are proposed for systems with two-segment piecewise-linear nonlinearity and preload nonlinearity. Most of the contributions assume the disturbance is white Gaussian noise [3][4][5][6][12][13].…”
Section: Introductionmentioning
confidence: 99%
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“…In [10][11], the authors derive identification algorithms for deterministic H models with discontinuous nonlinearities and design dead-zone compensated control law for the estimated systems. In [12][13], adaptive controllers are proposed for systems with two-segment piecewise-linear nonlinearity and preload nonlinearity. Most of the contributions assume the disturbance is white Gaussian noise [3][4][5][6][12][13].…”
Section: Introductionmentioning
confidence: 99%
“…In [12][13], adaptive controllers are proposed for systems with two-segment piecewise-linear nonlinearity and preload nonlinearity. Most of the contributions assume the disturbance is white Gaussian noise [3][4][5][6][12][13]. This note focuses on robust adaptive controller design for H systems with dead-zone nonlinearity and bounded noise.…”
Section: Introductionmentioning
confidence: 99%
“…Adaptive control of Hammerstein systems with uncertain input nonlinearities and linear dynamics is considered in [4][5][6]. Unlike [4][5][6], however, we make no attempt to identify and invert the input nonlinearity.…”
Section: Introductionmentioning
confidence: 99%
“…Unlike [4][5][6], however, we make no attempt to identify and invert the input nonlinearity. Instead, we apply retrospective-cost adaptive control (RCAC), which can be used for plants that are possibly MIMO, nonminimum phase (NMP), and unstable [7][8][9][10][11][12][13].…”
Section: Introductionmentioning
confidence: 99%
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