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Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 19 of 19 for “"Optimal control model"”.
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An Optimal Control Model of Capital Accumulation and Development Following a Soviet Strategy
Made available in DSpace on 2014-12-09T19:32:19Z (GMT). No. of bitstreams: 1 7013325.pdf: 4190222 bytes, checksum: 693e6b09f304a498b8fdab70cba12625 (MD5) Previous issue date: 1969
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Mathematical modeling of infectious diseases
In this dissertation, we studied mathematical models of infectious diseases that consist of ordinary differential equations (ODEs) and partial differential equations (PDEs). An ODE model is formulated to describe the dynamics of wild mosquitoes when Wolbachia-infected female and male mosquitoes are …
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RESOURCE USE RATES: ESTIMATION OF TIME INVARIANT DECISION RULES (EROSION)
… used by farmers has become more important. The model developed to analyze the optimal decision rule for soil use rates is essentially a supply response model which assumes rational expectations. It can be characterized as a dynamic optimal control model with feedback from decisions to states. …
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Multiscale Approach to Optimal Control of in Situ Bioremediation of Groundwater
… and optimization. The bioremediation optimal control model is governed by a set of nonlinear PDEs (the transition equation), which describe the system response under given pumping rates. Since solving the PDEs is only a subproblem within PDE-constrained optimization, it is critical …
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A micro- and macro- analysis of human-machine interfaces and systems in space
… running tasks. For a slalom course, an optimal control model was formulated to analyze the characteristics of an optimal path trajectory to complete the task as quickly as possible.
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Dynamic pricing and inventory control with no backorders under uncertainty and competition
… Nevertheless, determining pricing and inventory optimal policies in more realistic settings may not be a tractable task. Ignoring the potential inaccuracy of parameters may lead to a solution that actually performs poorly, or even that violates some constraints. Finally, competitors impact a …
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A unified method to predict pilot-induced oscillations
… oscillations as a result of attempted pilot control of the vehicle. Present day methods that are intended to predict which aircraft are susceptible to PIO deal primarily with the linear dynamics associated with both the pilot and vehicle. These methods are incapable of handling multiple …
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Projection Methods for Order Reduction of Optimal Human Operator Models
Human operator models developed using optimal control theory are typically complicated and over-parameterized, even for simple controlled elements. Methods for generating less complicated operator models that preserve the most important characteristics of the full order model are developed so that …
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Household Food Security in Developing Countries: Understanding the Role of Dynamic Natural and Social Systems
… future availability of food. Chapter 2 builds an optimal control model to analyze the trade-offs between stocks of primary forest and agricultural production. This study highlights the role of ecosystem services provided by stocks of forests, which include protection from flooding and erosion, …
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Optimal Multi-Drug Chemotherapy Control Scheme for Cancer Treatment. Design and development of a multi-drug feedback control scheme for optimal chemotherapy treatment for cancer. Evolutionary multi-objective optimisation algorithms were used to achieve the optimal parameters of the controller for effective treatment of cancer with minimum side effects.
… mechanisms for growth so that they grow in an uncontrolled way. One of the most common treatments of cancer is chemotherapy that aims to kill abnormal proliferating cells; however normal cells and other organs of the patients are also adversely affected. In practice, it¿s often difficult to …
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An Economic Analysis of Evolving Health Hazards
… 2 develops a spatial filtering panel data count model to examine the factors that contributed to the high prevalence of human West Nile virus (WNV) in California and Colorado using county-level data from 2003 to 2007. An econometric analysis was performed using a random effects negative binomial …
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Optimal load management of a microgrid with an electric boiler and renewable generation
… storage (TES) tank, this thesis proposes a model to control the power flows within the microgrid so that the electric boiler, together with the TES tank, can absorb surplus renewable generation. The microgrid can also make power exchange with the external power grid. That is, if the …
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A Dual-Phase Health Capital Model and Its Application to Health Co-benefit Modelling of Decarbonisation
… thesis begins. The backdrop of health co-benefit modelling and the need to incorporate socioeconomic considerations provide the impetus to develop a health economics model. However, in many ways this health economic model deviates from the health co-benefit studies methodologically and instead …
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Reliable energy-maximising control for wave energy converters enabled by fault diagnosis and fault-tolerant control
L'abstract è presente nell'allegato / the abstract is in the attachment
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Stochastic Model Predictive Control via Fixed Structure Policies
<p>In this work, the model predictive control problem is extended to include not only open-loop control sequences but also state-feedback control laws by directly optimizing parameters of a control policy. Additionally, continuous cost functions are developed to allow training of the control policy …
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Protecting valuable resources using optimal control theory and feedback strategies for plant disease management
Mathematical models of tree diseases often have little to say about how to manage established epidemics. Models often show that it is too late for successful disease eradication, but few study what management could still be beneficial. This study focusses on finding effective control strategies for …
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Dynamic mode decomposition with application to optimal control
… is always an important consideration. Optimal control of these high-dimensional fluid dynamics problems is especially cost prohibitive. In order to keep computational cost within a reasonable level, we explore the potential of merging data-driven model reduction with optimal control. In …
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Measurement and Modelling of Human Car Driving with Steering Torque Feedback
… transition between conventional and automated control. However, there is very little theoretical understanding of its role. The evaluation of steering feel mainly relies on subjective-objective correlation, which turns the subjective ratings of steering feel into objectively measurable metrics. …