Novel Extended State Observer Design for Uncertain Nonlinear Systems via Refined Dynamic Event-Triggered...

Area of Science:

• Control Systems Engineering
• Nonlinear System Analysis
• Networked Systems

Background:

• Limited network bandwidth poses challenges for observer design in uncertain nonlinear systems.
• Traditional static event-triggered strategies offer suboptimal performance and resource efficiency.

Purpose of the Study:

• To develop a dynamic event-triggered communication protocol for improved observer performance and network efficiency.
• To propose a novel event-triggered Takagi-Sugeno fuzzy extended state observer (TSFESO).
• To extend the applicability of extended state observers (ESOs) to a wider range of uncertainties.

Main Methods:

• A dynamic event-triggered (DET) communication protocol with an adaptive internal dynamic variable and dual-directional regulating mechanism.
• Design of an event-triggered Takagi-Sugeno fuzzy extended state observer (TSFESO).
• Derivation of a TSFESO design approach ensuring exponential convergence of estimation error dynamics under the DET mechanism.

Main Results:

• The proposed DET protocol achieves a desirable tradeoff between observation performance and communication resource efficiency.
• The novel event-triggered TSFESO integrates nonlinear estimating efficiency and linear numerical tractability.
• A generalized ESO formulation is developed to accommodate nonadditive uncertainties, expanding ESO applications.

Conclusions:

• The developed methods effectively address the challenges of observer design for uncertain nonlinear systems under bandwidth constraints.
• The proposed TSFESO and DET protocol offer significant improvements in performance and resource utilization.
• The generalized ESO formulation broadens the scope of ESO applicability in complex systems.