Sökning: "Event based sampling"
Visar resultat 1 - 5 av 42 avhandlingar innehållade orden Event based sampling.
1. On LQG-Optimal Event-Based Sampling
Sammanfattning : Event-based control is a promising concept for the design of resource-efficient feedback systems, where events such as sampling, actuation, and data transmissions are triggered reactively based on monitored control performance rather than a periodic timer. In this thesis, we investigate how sampling and communication events should be triggered to fully exploit the potential of event-based control based on the classic linear–quadratic–Gaussian (LQG) framework. LÄS MER
2. Event Based Sampling with Application to Spectral Estimation
Sammanfattning : In this thesis event based sampling, estimation of a single resonance frequency and the application indirect tire pressure monitoring system are studied.Event based sampling is an alternative to traditional uniform or equidistant sampling. In event based sampled systems, signals are sampled only when certain pre-defined events take place. LÄS MER
3. Stochastic Event-Based Control and Estimation
Sammanfattning : Digital controllers are traditionally implemented using periodic sampling, computation, and actuation events. As more control systems are implemented to share limited network and CPU bandwidth with other tasks, it is becoming increasingly attractive to use some form of event-based control instead, where precious events are used only when needed. LÄS MER
4. Non-Uniform Sampling in Statistical Signal Processing
Sammanfattning : Non-uniform sampling comes natural in many applications, due to for example imperfect sensors, mismatched clocks or event-triggered phenomena. Examples can be found in automotive industry and data communication as well as medicine and astronomy. LÄS MER
5. Benefits of Pharmacometric Model-Based Design and Analysis of Clinical Trials
Sammanfattning : Quantitative pharmacokinetic-pharmacodynamic and disease progression models are the core of the science of pharmacometrics which has been identified as one of the strategies that can make drug development more effective. To adequately develop and utilize these models one needs to carefully consider the nature of the data, choice of appropriate estimation methods, model evaluation strategies, and, most importantly, the intended use of the model. LÄS MER