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 “"Adaptive Tracking"”.
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Lip Detection and Adaptive Tracking
… This work proposes a lip detection and tracking algorithm to serve as a visual front end to an audio-visual automatic speech recognition (AVASR) system.</p> <p>Several color spaces are examined that are effective for segmenting lips from skin pixels. These color components and several …
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Development of Adaptive Tracking Methods with Enhanced Performance Based on Deep Learning
Adaptive object tracking aspires to locate the target incessantly in each frame with designated initial target location, which is an imperative yet demanding task in computer vision. Recent adaptive approaches strive to fuse global information of template and search region for achieving promising …
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Design and Implementation of an FPGA-based Soft-Radio Receiver Utilizing Adaptive Tracking
… single-user DS-CDMA receiver utilizes an LMS adaptive filter that can combat MAI and constructively combine multipath; most notably, this receiver employs an adaptive tracking algorithm that harnesses the LMS algorithm to maintain symbol synchronization. The proto-Stallion receiver …
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Structure incorporation of model uncertainty for Bayesian adaptive tracking and its application to maritime surveillance
Adaptive visual object tracking (VOT) is one of the fundamental tasks in machine vision, with active research and far-reaching implications. Bayesian methods are commonly used in adaptive VOT. However, we propose that the current tendency is to restrict the inference to a subtask (e.g. …
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Inertia compensation of a planar robot for human upper limb interaction
… inertial admittance model and a nonlinear robust adaptive tracking controller based on sliding mode control. A hybrid control mode was developed in which impedance control was used to enforce a virtual constraint and inertia compensation acted along the constraint. The controller proved to be …
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Adaptive control of nonlinear discrete-time systems and its application to control of a flexible-link manipulator
… research work are to develop direct and indirect adaptive control strategies for discrete-time nonlinear systems and to investigate the applicability of the proposed schemes to adaptive tracking control of a flexible-link manipulator. The first problem considered is indirect adaptive control of a …
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Optimal control, self-tuning techniques and their application to dynamically positioned vessels
… consists of two parts. The development of a self-adaptive stochastic control system for dynamically positioned vessels is described in Part One. Part Two is the investigation and the development of self-tuning control techniques.</p> <p>In Part One, the dynamic ship positioning control problems …
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Some issues in the sliding mode control of rigid robotic manipulators
This thesis investigates the problem of robust adaptive sliding mode control for nonlinear rigid robotic manipulators. A number of robustness and convergence results are presented for sliding mode control of robotic manipulators with bounded unknown disturbances, nonlinearities, dynamical couplings …
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ADAPTIVE CONTROL DESIGN FOR QUADROTORS
… of the quadrotor system dynamics and develops an adaptive control for its trajectory tracking problem. The control design uses the certainty equivalence principle where adaptive tracking controls are designed separately for each of the translational and rotational subsystems. With this approach, …
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The Computational Neuroethology of Weakly Electric Fish: Body Modeling, Motion Analysis, and Sensory Signal Estimation
… by (1) the limited number of techniques for tracking sensory surfaces, few of which provide data on the position of the entire body surface, and by (2) our inability to measure the thousands of sensory afferents stimulated during behavior. I present research on sensory acquisition in weakly …
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Dynamic Neural Network-based Adaptive Inverse Optimal Control Design
… a Dynamical Neural Network (DNN) model based adaptive inverse optimal control design for a class of nonlinear systems. A DNN structure is developed and stabilized based on a control Lyapunov function (CLF). The CLF must satisfy the partial Hamilton Jacobi-Bellman (HJB) equation to solve the …
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Machine Learning Aided Decision Making and Adaptive Stochastic Control in a Hierarchical Interactive Smart Grid
… (2) demand response (DR), (3) stochastic tracking control of the conventional generation in the presence of DER's (both renewable energy and plug-in hybrid electric vehicle (PHEV)) and (4) machine learning aided decision making for smart-homes. In the first part, a series of linear …
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ENERGY-EFFICIENT LIGHTWEIGHT ALGORITHMS FOR EMBEDDED SMART CAMERAS: DESIGN, IMPLEMENTATION AND PERFORMANCE ANALYSIS
… we are interested in object detection and tracking methodologies and the impact of them on the performance and battery life of the CITRIC camera (embedded smart camera employed in this research). This thesis aims to prolong the life time of the Embedded Smart platform, without affecting the …