Operator-Based Sliding-Mode Nonlinear Control Design for a Process with Input Constraint | Zendy

Dongyun Wang | Zendy; Fengguang Li | Zendy; Shengjun Wen | Zendy; Xiaomin Qi | Zendy; Ping Liu | Zendy; Mingcong Deng | Zendy

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Operator-Based Sliding-Mode Nonlinear Control Design for a Process with Input Constraint

Author(s) -

Dongyun Wang,

Fengguang Li,

Shengjun Wen,

Xiaomin Qi,

Ping Liu,

Mingcong Deng

Publication year - 2015

Publication title -

journal of robotics and mechatronics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.257

H-Index - 19

eISSN - 1883-8049

pISSN - 0915-3942

DOI - 10.20965/jrm.2015.p0083

Subject(s) - constraint (computer aided design) , control theory (sociology) , nonlinear system , operator (biology) , sliding mode control , mathematics , robust control , process (computing) , mathematical optimization , computer science , control (management) , artificial intelligence , biochemistry , chemistry , physics , geometry , repressor , gene , operating system , quantum mechanics , transcription factor

The process with constraint In this paper, operator-based sliding-mode nonlinear control is presented for a process with input constraint. After the mathematical model is discussed for the water level process, it is seen that there exist uncertainty and input constraint in the process. Operator-based robust nonlinear control is then considered by using robust right coprime factorization method to eliminate the effect of uncertainty. Furthermore, operator-based sliding-mode nonlinear control is proposed to deal with the constrained input. Finally, simulation and experimental results are given to show the effectiveness of the proposed method.

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