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 13 of 13 for “"Convex optimization techniques"”.
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Coordination and control of a multiple spacecraft using convex optimization techniques
… problems are posed as linear programming (LP) optimizations to solve for the minimum fuel maneuvers. The combined result of the high-level coordination and low-level controllers is a very flexible optimization framework that can be used off-line to analyze aspects of a mission design and in …
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Robust Control Design and Analysis for Small Fixed-Wing Unmanned Aircraft Systems Using Integral Quadratic Constraints
… analysis problems are traditionally solved using convex optimization techniques, which can be slow and memory intensive for large problems. An oracle for discrete-time IQC analysis problems is presented to facilitate the use of a cutting plane algorithm in lieu of convex optimization in order to …
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Computational imaging with small numbers of photons
… on sparse signal pursuit methods and regularized convex optimization techniques. We demonstrate our frameworks' photon efficiencies in six imaging scenarios that have been well-studied in the classical settings with large numbers of photon detections: single-depth imaging, multi-depth imaging, …
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Simulation and design optimization for linear wave phenomena on metamaterials
… finite periodic structures designed using optimization techniques. Two different kind of problems can be found: those involving linear waves and those involving nonlinear waves. The former have been widely studied and analyzed within the last few years and many interesting results have been …
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Closed-loop control of spacecraft formations with applications on SPHERES
… method for generating fleet-wide plans, using convex optimization techniques, that satisfy multiple objectives. The approach allows for minimum and balanced fuel usage, can position spacecraft in arbitrary configurations, and favors low-maintenance orbits that do not drift apart. Additionally, …
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Towards Autonomy: Leveraging Nonlinearity In Predictive And Convex Optimization For Space Vehicle Guidance And Control
… and control methodologies increasingly rely on optimization-based methods, which should be capable of handling complex dynamics, real-world constraints, and limited computational resources. While model predictive control (MPC) and sequential convex programming (SCP) techniques offer promising …
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Robust multi-contact dynamical motion planning using contact wrench set
… and an angular momentum trajectory, by solving a convex optimization problem. We show that this planner has similar output as the widely-used walking pattern generator that relies on Zero Moment Point (ZMP) on flat ground. Moreover, it can plan feasible motion on uneven ground with friction cone …
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Maximum likelihood estimation of a multivariate log-concave density
… for multivariate data, which require different techniques. After establishing existence and uniqueness of the log-concave maximum likelihood estimator for multivariate data, we see that a reformulation allows us to compute it using standard convex optimization techniques. Unlike kernel density …
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Exploring structural regularities for robust 3D reconstruction of urban scenes
… After reviewing the recent developments of convex optimization techniques for low-rank matrix recovery, we propose a novel 3D reconstruction approach based on a new class of global features called transform invariant low-rank textures (TILT). We demonstrate the advantage of such global …
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Applications of low-rank matrix recovery methods in computer vision
… recent advances in low-rank matrix recovery via convex optimization techniques to solve real problems in computer vision. This thesis also provides some theoretical analysis that extends existing results to new observation models. Low-rank matrix approximations are a popular tool in data …
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Interference Mitigation by Reconfigurable Adaptive Antenna Array
… receiver design. We use compressive sensing and convex optimization techniques to select an optimum subset of antennas and subsequently the array geometry is reconfigured through a sequence of Radio Frequency switches. We investigate the antenna selection problem for both closed-loop and …
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Mismatched Decoding: Capacity and Error Exponent Upper Bounds
… been studied extensively using random coding techniques. On the other hand, upperbounds for the mismatch capacity were not explored until a few years ago. In this thesis we study a novel technique for tackling this problem based on analysing the probability of error of a given codebook using …
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Contributions On Theory And Practice For Multi-Mission Wireless Systems
… policy can also be obtained via standard convex optimization techniques. Dynamic programming is used to optimize the allocation policy when causal SI is available. The issue of unknown transmit power at the receiver is also addressed. Finally, to make the proposed solutions practically …