Competitive Parallel Identifiers in Adaptive Control of Nonstationary Stochastic Systems
作者： Z. Kowalczuk
DOI: 10.1016/S1474-6670(17)54393-1
关键词: Adaptive control 、 Control theory 、 Adaptive filter 、 Robustness (computer science) 、 Computer science 、 Identifier 、 Nyquist–Shannon sampling theorem
摘要: Abstract The problem of identification time-varying (linear) stochastic systems by parallel processing (through a bank adaptive filters) in application to control is addressed. novel method, previously developed for signal estimation straightforward manner adapted self-tuning control. A simple discrete-time control-object model varying correspondence with reasonable (in the Nyquist sense) changes an analog prototype considered simulation study. Results concerning applicability technique as well its robustness time-variability and tuning parameters are shown. An improvement regarding noise variance computational difficulties also discussed.
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