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.
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Showing 1 to 9 of 9 for “"Nonlinear Programming (NLP)"”.
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A computer model for a fixed-trim re-entry vehicle using the Gracey guidance law with evasive capabilities
… for its accuracy and evasive capabilities. A nonlinear programming (NLP} formulation is used to pose a problem of optimal evasive-maneuvering. The resulting NLP problem is solved numerically by an advanced gradient-projection algorithm.
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Optimization-based selection of influential agents in a rural Afghan social network
… network, and 3) the nonlethal targeting model, a nonlinear programming (NLP) optimization formulation that identifies the k US agent assignment strategy producing the greatest arithmetic mean of the expected long-term attitude of the population. We demonstrate in experiments the merits of the …
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On generating driving trajectories in urban traffic to achieve higher fuel efficiency
… which we translate the minimization problem to a nonlinear programming (NLP) problem. We also include an extensive case study for a door-to-door trip with differ- ent traveling settings: travel during which there are no traffic lights; travel with one light and travel with two lights. The result …
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A nonstandard optimal control problem arising in an economics application: for royalty payment with piecewise function
… end of the study, a comparative discrete-time nonlinear programming (NLP) results are also presented.
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Estimating Costs of Reducing Environmental Emissions From a Dairy Farm: Multi-objective epsilon-constraint Optimization Versus Single Objective Constrained Optimization
… dairy farm with two different approaches: nonlinear programming (NLP) and ϵ-constraint optimization to evaluate trade-offs among reduction of multiple pollutants including nitrogen (N), phosphorus (P), greenhouse gas (GHG), and ammonia. We evaluated twenty-six different scenar- ios in which …
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Automated Design of Multiphase Space Missions Using Hybrid Optimal Control
… algorithms (GA) and direct transcription with nonlinear programming (NLP) are introduced as methods of solution for the outer-loop and inner-loop problems, respectively. Automation of the inner-loop, continuous optimal control problem solver, required two new technologies. The first is a method …
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Risk-Bounded Dynamic Scheduling of Temporal Plans
… Due to the chance constraint, we still employ nonlinear programming (NLP) to generate risk allocations, but now we leverage dynamic controllability (DC) algorithms to generate scheduling conflicts. However, those conflicts’ resolutions are disjunctive constraints, which require combinatorial …
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New Trust Region SQP Methods for Continuous and Integer Optimization
… thesis new algorithms are presented that address nonlinear optimization problems. The algorithms belong to the class of sequential quadratic programming (SQP) methods. Two problem formulations that arise frequently in real-world applications are considered. Both have in common that functions are …
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Parametric Optimal Design Of Uncertain Dynamical Systems
This research effort develops a comprehensive computational framework to support the parametric optimal design of uncertain dynamical systems. Uncertainty comes from various sources, such as: system parameters, initial conditions, sensor and actuator noise, and external forcing. Treatment of …