Abstract
In this paper, we propose a unified approach for the design of an event-triggering mechanism (ETM) and a state feedback controller for uncertain linear dynamical systems. The design task is formulated as a problem of finding the optimal control input while maximizing the event-triggering threshold such that a satisfactory system performance in the presence of intermittent feedback is guaranteed. In other words, we present a zero-order-hold (ZOH) and model-based event-triggering schemes along with adaptive optimal controllers which not only regulates the system but also optimizes its performance. The stability and optimality of the closed-loop system are analyzed using Lyapunov theory, and numerical results are provided to substantiate the theoretical claims.
| Original language | American English |
|---|---|
| Journal | Proceedings of the AIAA Scitech 2019 Forum (2019, San Diego, CA) |
| DOIs | |
| State | Published - Jan 1 2019 |
Keywords
- Adaptive Control
- Adaptive control systems
- Aviation
- Closed loop systems
- Controllers
- Dynamical systems
- Event-triggering schemes
- Linear control systems
- Linear dynamical systems
- Lyapunov theories
- Numerical results
- Optimal controller
- State feedback
- State feedback controller
- Uncertainty analysis
- Unified approach
Disciplines
- Electrical and Computer Engineering
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