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Observer-Based Adaptive Fuzzy Decentralized Event-Triggered Control of Interconnected Nonlinear System.
IEEE Transactions on Cybernetics
|February 23, 2019
Summary
This study presents a decentralized event-triggered control scheme for nonlinear systems with uncertain interactions. The approach ensures tracking performance and stability while guaranteeing a minimum time between control updates.
Area of Science:
- Control Systems Engineering
- Nonlinear Dynamics
- Systems Theory
Background:
- Decentralized control is crucial for large-scale interconnected systems.
- Output feedback control is challenging due to limited system information.
- Uncertain interactions in nonlinear systems complicate control design.
Purpose of the Study:
- To develop a decentralized event-triggered control scheme for interconnected nonlinear systems.
- To solve the decentralized output feedback problem using event-sampling states.
- To ensure closed-loop stability and preserve tracking performance.
Main Methods:
- A novel decentralized event-triggered control mechanism is proposed.
- Controllers are designed using local signals at triggering or switching times.
- Stability and performance are analyzed theoretically.
Main Results:
- The proposed scheme effectively solves the decentralized output feedback problem.
- Both tracking performance and closed-loop stability are guaranteed.
- A uniform positive lower bound on the interevent time is established.
Conclusions:
- The event-triggered decentralized control is effective for uncertain nonlinear systems.
- The method conserves communication resources by using event-sampling states.
- Simulation results validate the proposed control design and its performance.
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