Sökning: "Xiaoming Kan"
Visar resultat 1 - 5 av 7 avhandlingar innehållade orden Xiaoming Kan.
1. Exploring the future low-carbon electricity system: impacts of nuclear power and demand patterns
Sammanfattning : To achieve the climate goals set by the Paris Agreement, the global electricity system is expected to transition towards a low-carbon electricity system. The future low-carbon electricity system is uncertain regarding both generation and demand. LÄS MER
2. From Sweden to the world: Analysis of future low-carbon electricity systems
Sammanfattning : The increasing urgency of addressing climate change, along with the sustained cost declines in wind and solar power, has led to a rapid expansion in their deployment to decarbonize the electricity sector. In cost-optimal scenarios for future low-carbon electricity systems, wind and solar often serve as the cornerstone of electricity supply. LÄS MER
3. Endothelial Barrier Dysfunction in Multiple Organ Injury. An Experimental Study in Rats
Sammanfattning : Multiple organ dysfunction syndrome (MODS) is still the leading cause of mortality in the surgical intensive care unit. The effect on among others endothelial barrier permeability, reticuloendothelial function, organ function and protease-antiprotease activities was studied following a variety of challenges, especially over-activation of macrophages induced by intraperitoneal administration of zymosan. LÄS MER
4. Some Results On Optimal Control for Nonlinear Descriptor Systems
Sammanfattning : I denna avhandling studeras optimal återkopplad styrning av olinjära deskriptorsystem. Ett deskriptorsystem är en matematisk beskrivning som kan innehålla både differentialekvationer och algebraiska ekvationer. LÄS MER
5. Dynamic Optimization for Agent-Based Systems and Inverse Optimal Control
Sammanfattning : This dissertation is concerned with three problems within the field of optimization for agent--based systems. Firstly, the inverse optimal control problem is investigated for the single-agent system. Given a dynamic process, the goal is to recover the quadratic cost function from the observation of optimal control sequences. LÄS MER