Fuzzy Model Predictive Control: Complexity Reduction for Implementation in Industrial Systems

Author:

Escaño Juan M.ORCID,Bordons C.,Witheephanich K.,Gómez-Estern F.

Funder

Ministerio de Economía, Industria y Competitividad, Gobierno de España

Universidad de Sevilla

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Reference46 articles.

1. Camacho, E.F., Bordons, C.: Model predictive control, ser. advanced textbooks in control and signal processing. Springer, Berlin (2007)

2. Cutler, C., Ramaker, B.: Dynamic matrix control: a computer control algorithm. In: The National Meeting of The American Institute of Chemnical Engineers. Houston, TX, USA (1979)

3. Qin, S.J., Badgwell, T.A.: A survey of industrial model predictive control technology. Control Eng Pract 11(7), 733–764 (2003)

4. Clarke, D., Mohtadi, C., Tuffs, P.: Generalized predictive control; part 1. the basic algorithm. Automatica 23(2), 137–148 (1987)

5. Grüne, L., Pannek, J.: Nonlinear model predictive control: theory and algorithms. Springer-Verlag, Berlin (2011)

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