Search for dissertations about: "Control over channel"
Showing result 1 - 5 of 101 swedish dissertations containing the words Control over channel.
-
1. Control and Communication with Signal-to-Noise Ratio Constraints
Abstract : This thesis is about two problems in the intersection of communication and control theory. Their common feature is that they involve communication over an additive white noise channel with a signal-to-noise ratio (SNR) constraint. The first problem concerns the transmission of a real-valued signal from a partially observed Markov source. READ MORE
-
2. Source-channel coding for closed-loop control
Abstract : Networked embedded control systems are present almost everywhere. A recent trend is to introduce wireless sensor networks in these systems, to take advantage of the added mobility and flexibility offered by wireless solutions. In such networks, the sensor observations are typically quantized and transmitted over noisy links. READ MORE
-
3. Harvesting Based Communications for Wireless Control Systems : Event-Trigger and Reinforcement Learning Based Transmission Policies
Abstract : Wireless control systems have gained considerable attention in recent years due to their numerous advantages, including increased flexibility and scalability, reduced wiring complexity, and cost-efficiency. Despite these benefits, the use of communication networks in control loops poses various challenges, such as sampled data, latency, packet dropouts, etc. READ MORE
-
4. State-based Channel Access for a Network of Control Systems
Abstract : Wireless networked control systems use shared wireless links to communicate between sensors and controllers, and require a channel access policy to arbitrate access to the links. Existing multiple access protocols perform this role in an agnostic manner, by remaining insular to the applications that run over the network. READ MORE
-
5. Source and Channel Coding for Compressed Sensing and Control
Abstract : Rapid advances in sensor technologies have fueled massive torrents of data streaming across networks. Such large volume of information, indeed, restricts the operational performance of data processing, causing inefficiency in sensing, computation, communication and control. READ MORE