Adaptive Neural Control for Pure-feedback Nonlinear Systems

Park, Jang-Hyun; Moon, Chae-Joo; Kim, Seong-Hwan; So, Soon-Youl; Jin-Lee,; Kim, Il-Whan

doi:10.1109/icit.2006.372329

Cited by 2 publications

(1 citation statement)

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“….1 원 계통의 정규식 기술 계통식 (1)은 출력 와 그 시간 도함수들에 대한 정규식으 로 재기술됨은 잘 알려져 있다. 즉,   ≡     ,   ⋯라고 정의하면 다음과 같은 일반식을 유도할 수 있다 [29]. …”

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State- and Output-feedback Adaptive Controller for Pure-feedback Nonlinear Systems using Self-structuring Fuzzy System

Park¹,

Kim²,

Jang³

et al. 2012

The Transactions of The Korean Institute of Electrical Engineer

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-Globally stabilizing adaptive fuzzy state-and output-feedback controllers for the fully nonaffine pure-feedback nonlinear system are proposed in this paper. By reformulating the original pure-feedback system to a standard normal form with respect to newly defined state variables, the proposed controllers require no backstepping design procedures. Avoiding backstepping makes the controller structure and stability analysis to be considerably simplified. For the global stabilty of the clossed-loop system, the self-structuring fuzzy system whose memebership functions and fuzzy rules are automatically generated and tuned is adopted. The proposed controllers employ only one fuzzy logic system to approximate unknown nonlinear function, which highlights the simplicity of the proposed adaptive fuzzy controller. Moreover, the output-feedback controller of the considered system proposed in this paper have not been dealt with in any literature yet.

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