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This document reports work on the application of a Multiple Controller Adaptive Control algorithm based on fictitious reference signals.
Feedback control algorithm based on PI controller and that based on Smith predictor were designed and tested in a hot strip mill respectively.
To counter the problem of lower controlling precision of conventional fuzzy control algorithm based on look-up-table, this paper puts forward an improved fuzzy control algorithm that has high controlling precision.
The chapter also describes the design of a control algorithm based on a fuzzy logic controller.
Using a control algorithm based on an eight-step rotating magnetic field, the slave controller can generate a more uniform rotating magnetic field and avoid many of the problems that affect traditional control methods.
Supervisory control algorithm based on the model structure is derived.
The multivariable control algorithm based on the generalized predictive control approach is adopted.
The presented paper deals with the development of robust control algorithm based on reflection vectors methodology.
This chapter introduces a new predictive control algorithm based on constraint neural networks.
The underlying methodology utilizes a cyclic control algorithm based on a mean orbital elements feedback.
In this paper is proposed a control algorithm based on the first order sliding mode technique.
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