Sökning: "Karl H. Johansson"
Visar resultat 6 - 10 av 33 avhandlingar innehållade orden Karl H. Johansson.
6. Learning flow functions : architectures, universal approximation and applications to spiking systems
Sammanfattning : Learning flow functions of continuous-time control systems is considered in this thesis. The flow function is the operator mapping initial states and control inputs to the state trajectories, and the problem is to find a suitable neural network architecture to learn this infinite-dimensional operator from measurements of state trajectories. LÄS MER
7. Fuel-Efficient Heavy-Duty Vehicle Platooning
Sammanfattning : The freight transport industry faces big challenges as the demand for transport and fuel prices are steadily increasing, whereas the environmental impact needs to be significantly reduced. Heavy-duty vehicle (HDV) platooning is a promising technology for a sustainable transportation system. LÄS MER
8. Defense of Cyber-Physical Systems Against Learning-based Attackers
Sammanfattning : Cyberattacks against critical infrastructures pose a serious threat to society, as they can have devastating consequences on the economy, security, or public health. These infrastructures rely on a large network of cyber components, such as sensors, controllers, computers, and communication devices, to monitor and control their physical processes. LÄS MER
9. Privacy of Sudden Events in Cyber-Physical Systems
Sammanfattning : Cyberattacks against critical infrastructures has been a growing problem for the past couple of years. These infrastructures are a particularly desirable target for adversaries, due to their vital importance in society. LÄS MER
10. Control of Multi-Agent Systems with Applications to Distributed Frequency Control Power Systems
Sammanfattning : Multi-agent systems are interconnected control systems with many application domains. The first part of this thesis considers nonlinear multi-agent systems, where the control input can be decoupled into a product of a nonlinear gain function depending only on the agent's own state, and a nonlinear interaction function depending on the relative states of the agent's neighbors. LÄS MER