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Fuzzy H(infinity) Tracking Control for Nonlinear Networked Control Systems in T-S Fuzzy Model.
Summary
This study addresses fuzzy tracking control for nonlinear networked control systems (NCSs) with H(infinity) performance. A new control design method ensures tracking performance despite network delays and packet losses.
Area of Science:
- Control Engineering
- Systems Science
- Fuzzy Logic Systems
Background:
- Networked control systems (NCSs) present challenges due to nonlinear dynamics, network-induced delays, and packet losses.
- Achieving guaranteed H(infinity) tracking performance in such systems is a significant control problem.
Purpose of the Study:
- To investigate the fuzzy tracking control problem for nonlinear NCSs.
- To develop a control design method that ensures prescribed H(infinity) tracking performance under network uncertainties.
Main Methods:
- Employing a Takagi-Sugeno fuzzy model to represent the nonlinear controlled plant.
- Utilizing parallel distributed compensation to establish a novel tracking model for the NCSs.
- Applying Lyapunov stability theory and linear matrix inequalities for control design.
Main Results:
- A novel tracking model for nonlinear NCSs was established.
- A control design method guaranteeing prescribed H(infinity) tracking performance was developed.
- The effectiveness of the proposed method was demonstrated through a numerical example.
Conclusions:
- The developed control design method effectively addresses the fuzzy tracking control problem in nonlinear NCSs.
- The method guarantees H(infinity) tracking performance even with network-induced delays and packet losses.
- The approach provides a robust solution for controlling complex nonlinear systems over networks.
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