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Fuzzy Delay Compensation Control for T-S Fuzzy Systems Over Network
IEEE Transactions on Cybernetics
|July 18, 2012
Summary
This study introduces novel fuzzy control methods to actively compensate for network delays in nonlinear networked control systems (NCSs). The techniques ensure robust system performance despite communication uncertainties.
Area of Science:
- Control Engineering
- Fuzzy Systems
- Networked Control Systems
Background:
- Networked Control Systems (NCSs) face challenges due to unpredictable network-induced delays.
- Existing compensation methods may not fully address the complexities of nonlinear systems.
Purpose of the Study:
- To develop novel network delay compensation approaches for nonlinear NCSs.
- To actively mitigate communication delays using fuzzy control frameworks.
Main Methods:
- Utilizing Takagi-Sugeno fuzzy models to represent nonlinear plants.
- Designing predictive control input packets based on parallel distributed compensation.
- Developing both state and output feedback fuzzy delay compensation controllers.
Main Results:
- Proposed fuzzy control strategies effectively compensate for network delays in nonlinear NCSs.
- Demonstrated the applicability of the developed techniques through two illustrative examples.
Conclusions:
- The novel fuzzy-based delay compensation techniques are effective for nonlinear NCSs.
- The proposed methods offer a robust solution for managing network communication delays in control applications.
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