Robust Smith‐predictor controller for uncertain delay systems | Zendy

Lee T. H. | Zendy; Wang Q. G. | Zendy; Tan K. K. | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Premium

Robust Smith‐predictor controller for uncertain delay systems

Author(s) -

Lee T. H.,

Wang Q. G.,

Tan K. K.

Publication year - 1996

Publication title -

aiche journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.958

H-Index - 167

eISSN - 1547-5905

pISSN - 0001-1541

DOI - 10.1002/aic.690420415

Subject(s) - control theory (sociology) , corollary , robust control , smith predictor , norm (philosophy) , robustness (evolution) , bounded function , stability (learning theory) , controller (irrigation) , computer science , mathematics , mathematical optimization , control (management) , control system , control engineering , engineering , pid controller , temperature control , artificial intelligence , machine learning , agronomy , pure mathematics , law , mathematical analysis , chemistry , biology , biochemistry , political science , electrical engineering , gene

Necessary and sufficient conditions for the robust stability and performance of the Smith‐predictor controller, modeled under a norm‐bounded uncertainty, are given in a general formulation. In addition, a practical stability condition is obtained as a special corollary of the main results. These conditions provide useful and practical guidelines for the development of a systematic robust design method. In particular, an application is developed for the robust control of first‐order deadtime systems with simultaneous uncertainties in all three parameters of the model. A simulation example and the results of a case study on the robust level control of a coupled‐tanks apparatus are provided for illustration.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here

Accelerating Research