Search for dissertations about: "Control Systems in project"
Showing result 1 - 5 of 188 swedish dissertations containing the words Control Systems in project.
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1. Management control and strategy : a case study of pharmaceutical drug development
Abstract : How are formal management controls designed and used in research & development (R&D)? The purpose of this study is to explain how such systems are designed and used in formulating and implementing strategies in a pharmaceutical product development organisation. The study uses a contingency approach to investigate how the control system is adjusted to the business strategy of the firm. READ MORE
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2. Geometric Control of Thrust Propelled Systems
Abstract : This thesis was motivated and inspired by the AEROWORKS project, a European research project, whose main goal was to deploy multiple heterogeneous unmanned aerial vehicles in environments where human intervention is restricted.In particular, this thesis focuses on control of aerial vehicles for the purposes of cargo transportation, an application of interest, for example, in inspection and maintenance of aging infrastructures. READ MORE
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3. Hierarchical Concurrent Systems from a Model-Oriented perspective
Abstract : Real world systems are normally considered as hierarchically organized, for example, we see those as hierarchies of systems including subsystems. Examples on this can be seen in organizations where people act in environments and carry within themselves their own internal subsystem of thinking processes. READ MORE
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4. On Frequency Control Schemes in Power Systems with Large Amounts of Wind Power
Abstract : In recent years, large investments have been made in wind power, and this trend is expected to continue in the coming decades. Integrating more wind power in the production mix offers great opportunities for the society, such as reducing greenhouse gas emissions and the dependence on foreign fuel. READ MORE
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5. Disease surveillance systems
Abstract : Recent advances in information and communication technologies have made the development and operation of complex disease surveillance systems technically feasible, and many systems have been proposed to interpret diverse data sources for health-related signals. Implementing these systems for daily use and efficiently interpreting their output, however, remains a technical challenge. READ MORE