라이아푸노프 이벤트 트리거드 안정화와 알려진 수렴 속도
📝 원문 정보
- Title: Lyapunov Event-triggered Stabilization with a Known Convergence Rate
- ArXiv ID: 1803.08980
- 발행일: 2020-07-20
- 저자: Anton V. Proskurnikov and Manuel Mazo Jr
📝 초록 (Abstract)
이 논문은 비선형 시스템의 안정성을 유지하면서 제어 입력과 통신을 최소화하는 이벤트 트리거드 제어 방법론을 제시한다. 제안된 알고리즘은 연속시간 피드백 제어의 수렴 속도를 보장하며, 제어와 통신 작업이 예측 가능하게 스케줄링되도록 한다. 이를 통해 실시간 임베디드 시스템에서 효과적인 제어가 가능하다.💡 논문 핵심 해설 (Deep Analysis)
**Summary**: This paper presents a new event-triggered control methodology for nonlinear systems that maintains stability while minimizing communication and control inputs. The proposed algorithm ensures the same convergence rate as continuous-time feedback control and allows predictable scheduling of control and communication tasks, making it suitable for real-time embedded systems.Problem Statement: Ensuring the stability of nonlinear systems while minimizing communication and control inputs is crucial. However, existing methods often suffer from Zeno behavior (where control signals change too rapidly to be handled in real time) or unpredictable scheduling of control signals.
Solution Approach (Core Technology): The paper proposes an event-triggered control methodology that minimizes control and communication inputs based on the system’s state while maintaining stability. It ensures the same convergence rate as continuous-time feedback control, avoids Zeno behavior, and allows for predictable scheduling of tasks.
Key Results: The proposed algorithm successfully maintains the stability of nonlinear systems while minimizing communication and control inputs. Event-triggered control enables predictable task scheduling, making it effective in real-time embedded systems.
Significance & Utilization: This paper provides a methodology to maintain the stability of nonlinear systems while optimizing communication and control resources. It opens up possibilities for efficient control implementation in various industrial sectors using real-time embedded systems.