A novel robust decoupling method with multivariable generalized predictive control (MGPC) for a class of nonlinear systems is presented in an adaptive version. The cross-coupling action and the non-linear actors of the system are identified on-line by a neural network. A feedforward compensation bas
A critical study of multivariable self-tuning algorithms for distillation control
β Scribed by Thota K. Radhakrishnan; Dr. Kota Gangiah
- Publisher
- John Wiley and Sons
- Year
- 1991
- Tongue
- English
- Weight
- 573 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0930-7516
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π SIMILAR VOLUMES
Abstract~ontrol of a class of multivariable systems described by linear vector difference equations with constant but unknown parameters is discussed. A multivariable minimum variance strategy is first presented. This gives a generalization of the minimum variance strategy for single-input singleout
The multiinput/multioutput pole-placement self-tuning controller (MIMO PPSTC) previously developed by McDermott and Mellichamp is used to control a fixed-bed autothermal reactor with internal countercurrent heat exchange. The performance of the controller is demonstrated using step changes in the se