Sökning: "Discrete Events Systems"
Visar resultat 21 - 25 av 40 avhandlingar innehållade orden Discrete Events Systems.
21. On control under communicaiton constraints in autonomous multi-robot systems
Sammanfattning : Multi-robot systems have important applications, such as space explorations, underwater missions, and surveillance operations. In most of these cases robots need to exchange data through communication. Limitations in the communication system however impose constraints on the design of coordination strategies. LÄS MER
22. Stability Properties of Switched Dynamical Systems A Linear Matrix Inequality Approach
Sammanfattning : The dynamical properties of many natural phenomena are traditionally described by smooth differential equation models. The use of automated control structures imposes new behaviors on the controlled system. Actions are often organized in a logical manner. Switched dynamical models are a natural extension to smooth differential equation models. LÄS MER
23. Event-triggered control of multi-agent systems: pinning control, cloud coordination, and sensor coverage
Sammanfattning : A multi-agent system is composed of interconnected subsystems, or agents. In control of multi-agent systems, the aim is to obtain a coordinated behavior of the overall system through local interactions among the agents. Communication among the agents often occurs over a wireless medium with finite capacity. LÄS MER
24. 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
25. Order in the random forest
Sammanfattning : In many domains, repeated measurements are systematically collected to obtain the characteristics of objects or situations that evolve over time or other logical orderings. Although the classification of such data series shares many similarities with traditional multidimensional classification, inducing accurate machine learning models using traditional algorithms are typically infeasible since the order of the values must be considered. LÄS MER