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 20 of 31 for “"constrained systems"”.
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Nonlinear Control of Underactuated and Constrained Systems
… of this document to elaborate on the control of systems that are underactuated or otherwise constrained. To do so, local- and global-coordinate formulations are implemented to generate well-defined system dynamics for a multitude of scenarios. These dynamics are shown to lie on manifolds defined …
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Planning under uncertainty in resource-constrained systems
As autonomous systems become integrated into the real world, planning under uncertainty is a critical task. The real world is incredibly complex and systems must reason about factors such as uncertainty in their movements, environments, and human behavior. In the face of this uncertainty, agents …
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Flexible and Lightweight Cryptographic Engines for Constrained Systems
… are suitable cryptographic blocks for resource-constrained systems.
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Geometric algorithms for input constrained systems with application to flight control.
… and control design for unstable linear dynamical systems having their input constrained by maximum amplitude and rate of the control signals. Although the results obtained are of a general nature, all the problems considered are induced by flight control applications. Moreover, all these problems …
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Sample-based motion planning in high-dimensional and differentially-constrained systems
… have proven to be effective in path planning for systems subject to complex kinematic and geometric constraints. The performance of these algorithms, however, degrade as the dimension of the system increases. Furthermore, sample-based planners rely on distance metrics which do not work well when …
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Towards a Visual Simultaneous Localization and Mapping System for Computationally Constrained Systems
… visual SLAM system aimed towards computationally constrained systems is presented. In this work, Binary Robust Invariant Scalable Keypoints (BRISK) and Oriented FAST and Rotated BRIEF (ORB) feature descriptors are introduced and compared against Speeded Up Robust Features (SURF). BRISK is shown to …
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A new method for projection based model reduction of linear inequality constrained systems
Made available in DSpace on 2019-08-23T20:05:25Z (GMT). No. of bitstreams: 2 TURNER-THESIS-2019.pdf: 3096461 bytes, checksum: cc48f6a0078bb1ef676e5ace93e0e9e6 (MD5) LICENSE.txt: 4209 bytes, checksum: c7c4ae4505e7f33fa00504c81837dbf5 (MD5) Previous issue date: 2019-04-26
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Brownian dynamics simulation of soft matter with hydrodynamics: methods for constrained systems and shear processing of 2D materials
… In Chapter 2 we study methods for simulating constrained Brownian systems. We compare the current state-of-the-art method for these simulations, GMRES, to a different method called the projected conjugate gradient (PrCG) method. In particular, we compared PrCG and GMRES for rigid bodies, …
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Clock division as a power saving strategy in a system constrained by high transmission frequency and low data rate
Systems are often restricted to have higher transmission frequency than required by their data rates. Possible constraints include channel attenuation, power requirements, and backward compatibility. As a result these systems have unused band- width, leading to inefficient use of power. In this …
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Model predictive control with application to real-time hardware and guided parafoil
… is suitable for optimizing the performance of constrained systems. Constraints are present in all control systems due to the physical and environmental limits on plant operation. Through a systematical handling of constraints, MPC can improve the performance of a system by allowing it to safely …
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Algorithmic approaches to enhancing and exploiting application-level error tolerance
… To make matters worse, emerging computing systems are becoming increasingly power constrained. Traditional hardware/software approaches are likely to be impractical for these power constrained systems due to their heavy reliance on redundant, worstcase, and conservative designs. The primary …
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Collective excitations in low dimensional systems and stochastic control of population growth in a fluctuating environment
… the description of phase transitions of confined systems. Based on the effective lagrangian, I calculate the excitation spectrum and Matsubara Green's functions using the method of functional integrals. The theory also shows that in one dimension the collective excitation of a bosonic system can …
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Development and application of management tools within a high-mix, low-volume lean aerospace manufacturing environment
… tools are applied blindly to complex, highly constrained systems, lean implementation becomes challenging and often ineffective. This thesis develops a set of management tools that emphasize the fundamental lean principles and the importance of an overarching value stream level management …
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Sparsity and computation reduction for high-rate visual-inertial odometry
… and Mapping (SLAM). For computationally-constrained systems, maintaining and promoting system sparsity is key to achieving the high-rate solutions required for agile trajectory tracking. This thesis focuses on the computation involved in the elimination step of optimization, showing it to …
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Prediction Models for Multi-dimensional Power-Performance Optimization on Many Cores
Power has become a primary concern for HPC systems. Dynamic voltage and frequency scaling (DVFS) and dynamic concurrency throttling (DCT) are two software tools (or knobs) for reducing the dynamic power consumption of HPC systems. To date, few works have considered the synergistic integration of …
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Ultra-low-power SRAM design in high variability advanced CMOS
… SRAMs are a critical component in modern digital systems, and their role is preferentially increasing. As a result, SRAMs strongly impact the overall power, performance, and area, and, in order to manage these severely constrained trade-offs, they must be specially designed for target …
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Optimizing a Network Layer Moving Target Defense by Translating Software from Python to C
The security of powerful systems and large networks is often addressed through complex defenses. While these types of defenses offer increased security, they are resource intensive and therefore impractical to implement on many new classes of networked systems, such as mobile phones and small, …
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Modeling, Sensitivity Analysis, and Optimization of Hybrid, Constrained Mechanical Systems
… 1 and 3 Differential Algebraic Equation (DAE) systems. The hybrid system is characterized by discontinuities in the velocity state variables due to an impulsive forces at the time of event. At the time of event, such system may also exhibit a change in the equations of motion or in the …
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Complexity management for video encoders.
… In many cases, such as real-time multimedia systems or power-constrained systems, the coding performance of software-only video encoders and decoders is limited by computational complexity. This thesis presents research work to develop techniques to manage computational complexity of video …
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Comparing Learned Representations Between Unpruned and Pruned Deep Convolutional Neural Networks
… often prevent them from being used on resource-constrained systems. Furthermore, as these networks grow larger in size and complexity, it can become even harder to understand the learned representations of the input data that these networks form through training. These issues of growing network …
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