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E-raamat: Adaptive Control, Filtering, and Signal Processing

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Adaptive Control, Filtering, and Signal ProcessingSuurem pilt
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The area of adaptive systems, which encompasses recursive identification, adaptive control, filtering, and signal processing, has been one of the most active areas of the past decade. Since adaptive controllers are fundamentally nonlinear controllers which are applied to nominally linear, possibly stochastic and time-varying systems, their theoretical analysis is usually very difficult. Nevertheless, over the past decade much fundamental progress has been made on some key questions concerning their stability, convergence, performance, and robustness. Moreover, adaptive controllers have been successfully employed in numerous practical applications, and have even entered the marketplace.

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Springer Book Archives
Oscillations in systems with relay feedback.- Compatibility of
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likelihood and general cases.- Some results for the adaptive boundary control
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Adaptive control of nonlinear systems: A tutorial.- Design guidelines for
adaptive control with application to systems with structural flexibility.-
Estimation-based schemes for adaptive nonlinear state-feedback control.- An
adaptive controller inspired by recent results on learning from experts.-
Stochastic approximation with averaging and feedback: faster convergence.-
Building models from frequency domain data.- Supervisory control.- Potential
self-tuning analysis of stochastic adaptive control.- Stochastic adaptive
control.- Optimality of the adaptive controllers.- Uncertain real parameters
with bounded rate of variation.- Averaging methods for the analysis of
adaptive algorithms.- A multilinear parametrization approach for
identification of partially known systems.- Adaptive filtering with averaging.
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