Delayed output feedback control for nonlinear systems with two-layer interval fuzzy observers

Wen Shyong Yu, Mansour Karkoub, Tzu Sung Wu, Ming Guo Her

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

In this paper, the design problem of a delayed output feedback control scheme using two-layer interval fuzzy observers for a class of nonlinear systems with state and output delays is investigated. The Takagi-Sugeno-type fuzzy linear model with an online update law is used to approximate the nonlinear system. Based on the fuzzy model, a two-layer interval fuzzy observer is used to reconstruct the system states according to equal interval output time delay slices. Subsequently, a delayed output feedback adaptive fuzzy controller is developed to overcome the nonlinearities, time delays, and external disturbances such that H tracking performance is achieved. The linguistic information is developed by setting the membership functions of the fuzzy logic system and the adaptation parameters to estimate the model uncertainties directly using linear analytical results instead of estimating nonlinear system functions. The tracking error dynamics are designed to enable our adaptive controller to avoid the filtering of the basis vectors whose dimension is much larger than that of the state vector of the controlled system. This is achieved by not imposing the strictly positive real condition. Based on the Lyapunov stability criterion and linear matrix inequalities, some sufficient conditions are derived so that all the states of the system are uniformly ultimately bounded. Therefore, the effect of the external disturbances on the tracking error can be attenuated to any prescribed level, and H tracking control is achieved. Building on our previous work in this area, the proposed control scheme is extended to handle a class of uncertain nonlinear systems with state and output delays and external disturbances. This is achieved through the use of a robust variable structure scheme and H control techniques. Finally, a numerical example of a two-link robot manipulator is studied to illustrate the effectiveness of the proposed control scheme.

Original languageEnglish
Article number6542698
Pages (from-to)611-630
Number of pages20
JournalIEEE Transactions on Fuzzy Systems
Volume22
Issue number3
DOIs
Publication statusPublished - 2014

Fingerprint

Fuzzy Observer
Delayed Feedback Control
Output Feedback Control
Feedback control
Nonlinear systems
Nonlinear Systems
Interval
Disturbance
Fuzzy Model
Output
Time Delay
Time delay
Parameter Adaptation
Controllers
Variable Structure
Uncertain Nonlinear Systems
Fuzzy Logic System
Control nonlinearities
Robot Manipulator
Lyapunov Stability

Keywords

  • Adaptive control
  • fuzzy system
  • linear matrix inequalities (LMIs)
  • Lyapunov stability
  • robustness
  • two-layer interval fuzzy observers

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Applied Mathematics

Cite this

Delayed output feedback control for nonlinear systems with two-layer interval fuzzy observers. / Yu, Wen Shyong; Karkoub, Mansour; Wu, Tzu Sung; Her, Ming Guo.

In: IEEE Transactions on Fuzzy Systems, Vol. 22, No. 3, 6542698, 2014, p. 611-630.

Research output: Contribution to journalArticle

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