Robust Resource-Aware Self-triggered Model Predictive Control
The wide adoption of wireless devices in the Internet of Things requires controllers that are able to operate with limited resources, such as battery life. Operating these devices robustly in an uncertain environment, while managing available resources, increases the difficultly of controller design. This paper proposes a robust self-triggered model predictive control approach to optimize a control objective while managing resource consumption. In particular, a novel zero-order-hold aperiodic discrete-time feedback control law is developed to ensure robust constraint satisfaction for continuous-time linear systems.
Code (0)
등록된 구현이 없습니다.
Tasks
modelModel Predictive ControlSimilar Papers 제목 키워드 기반
Self-Triggered Distributed Model Predictive Control with Synchronization Parameters Interaction
This paper investigates an aperiodic distributed model predictive control approach for multi-agent systems (MASs) in which parameterized synchronization constraints is considered and an innovative self-triggered criterio…
Model Predictive ControlData-driven Self-triggered Control via Trajectory Prediction
Self-triggered control, a well-documented technique for reducing the communication overhead while ensuring desired system performance, is gaining increasing popularity. However, existing methods for self-triggered contro…
Model Predictive ControlPredictionTrajectory PredictionSelf-triggered MPC robust to bounded packet loss via a min-max approach: extended version
Networked Control Systems typically come with a limited communication bandwidth and thus require special care when designing the underlying control and triggering law. A method that allows to consider hard constraints on…
Model Predictive ControlTowards Event-Triggered NMPC for Efficient 6G Communications: Experimental Results and Open Problems
Networked control systems enable real-time control and coordination of distributed systems, leveraging the low latency, high reliability, and massive connectivity offered by 5G and future 6G networks. Applications includ…
Autonomous VehiclesModel Predictive ControlPredictive Triggering for Distributed Control of Resource Constrained Multi-agent Systems
A predictive triggering (PT) framework for the distributed control of resource constrained multi-agent systems is proposed. By predicting future communication demands and deriving a probabilistic priority measure, the PT…