Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 7 of 7 for “"Minimal state"”.
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Model Predictive Control Structures in Non-Minimal State Space.
… handling for systems described by a Non-Minimal State Space (NMSS) form. Such NMSS models are formulated directly from the measured input and output signals of the controlled process, without resort to the design and implementation of an observer. The thesis largely focuses on the …
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Failure resilience and traffic engineering for multi-controller software defined networking
… consistency requirements, and need network-wide state to operate. Because of such requirements, MCSDN systems can encounter performance overheads and state consistency problems when implementing TE. Moreover, performance and consistency problems are more prominent when deploying the system on …
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Generalised proportional-integral-plus control
… and its practical embodiment in the non-minimal state space (NMSS) approach to control design, for systems described by discrete time transfer function models in the backward shift operator. This yields Proportional-Integral-Plus (PIP) controllers that are particularly easy to implement …
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Towards an enabling NGO regulatory framework in Uganda: comparative experiences from Eastern and Southern Africa
… The Uganda Government reacted by imposing a state-led NGO regulatory framework seemingly to ensure the accountability and transparency of NGOs. This thesis investigates the existing regulatory models for NGOs and explores possible reforms to establish an appropriate NGO regulatory framework …
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Recurrent Neural Network Language Generation for Dialogue Systems
… model encapsulates a belief tracker with a minimal state representation and a generator that takes the dialogue context to produce responses. These features suggest comprehension and fast learning. The proposed model is capable of understanding requests and accomplishing tasks after training …
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Identification and approximation of the structure of networks of stochastic processes
… between agents in a network. The first, the minimal generative model graph, reflects a minimal state space description of relationships. The second, the directed information graph, is a statistical approach similar to conventional graphical models and uses directed information to generalize …