System identification: theory for the user
System identification: theory for the user
Computer-controlled systems (3rd ed.)
Computer-controlled systems (3rd ed.)
Digital Control and Implementation
Digital Control and Implementation
Neural Networks for Optimization and Signal Processing
Neural Networks for Optimization and Signal Processing
Digital Control and Estimation: A Unified Approach
Digital Control and Estimation: A Unified Approach
Brief Parameter identification with derivative shift operator parametrization
Automatica (Journal of IFAC)
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The use of short sampling period in adaptive control has not been described properly when controlling the real process by adaptive controller. On one hand faster disturbance rejection due to short sampling period can be an advantage but on the other hand it brings us some practical problems. Particularly, quantization error and finite numerical precision of industrial controller must be considered in the real process control. Presented paper shows a comparison of two real-time identification methods with improved adaptive linear optimal controller.