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 10 of 10 for “"Concurrent Learning"”.
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Adaptive Control Combined with Integral Concurrent Learning for Trajectory Tracking Near Asteroids
… estimation with adaptive control. An Integral Concurrent Learning (ICL) framework is used to estimate a reduced set of gravity expansion coefficients that represent the dominant perturbing effects of the asteroid’s irregular shape. These estimated coefficients are then fed into a Model …
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Solar Sailing Adaptive Control Using Integral Concurrent Learning for Solar Flux Estimation
… A Lyapunov-based control law along with integral concurrent learning is suggested to accomplish and prove global exponential tracking of the estimated parameters and states of interest, without satisfying the common persistence of excitation condition, which in most nonlinear systems cannot be …
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Intelligent Flight Control Systems Using Adaptive Deep Neural Networks and Concurrent Learning-Based Design Methods
… presents a control strategy employing a concurrent learning (CL)-based DNN training algorithm, which combines online adaptive DNN weight adaptation with offline batch-like training updates using a recorded data stack. The analysis focuses on the closed-loop performance improvements …
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Fault tolerant control for nonlinear aircraft based on feedback linearization
… FTFC performance through the combination of a concurrent updated learninglaw. - The combined feedback linearization and NN adaptor FTFC system is further improved through the use of a sliding mode control (SMC) strategy to enhance the convergence of the NN learning adaptor. - An approach to …
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Adaptive Control for Spacecraft with Flexible Appendages with Unknown Parameters
… of the system are estimated with Integral Concurrent Learning (ICL) and a detailed framework for implementing this architecture onboard using real hardware is presented and validated with experimental results obtained from a real testbed. The outcome of this investigation will create …
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Online Estimation of Unknown Parameters for Flexible Spacecraft
… is maneuvered. The controller uses integral concurrent learning (ICL), an adaptive scheme that records inputs and outputs provided by sensors mounted on the flexible body. The novelty of this investigation is the development of self-adapting control gains for both the tracking error and the …
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Neural Mediation of Instrumental Learning and Concurrent Discrimination
… neural mediation of instrumental discriminative learning. A great deal is known about the neural circuitry mediating discriminative avoidance learning, wherein rabbits learn to step in an activity wheel in order to avoid a footshock following one tone conditional stimulus (CS+) and they learn to …
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The Effectiveness of Monitor-Based Augmented Reality Paradigms for Learning Space-Related Technical Tasks
… trait or function in a workplace, laboratory, or learning facility. Technology has advanced in the fields of transportation, information gathering, and education. The need for better recall of information is in demand in a wide variety of areas. Augmented reality (AR) is a technology that may help …
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Solar Sailing Adaptive Control Around the Earth-Moon Lagrange Point L4 for Stellar Observations
… an adaptive control architecture, using integral concurrent learning, is proposed to account for fluctuations in the solar flux and degradation of the sail surface for long-term tracking to the nominal trajectory, enabling repeated observations of the solar corona within the Moon's umbra cone. To …
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Adapt-to-learn policy transfer in reinforcement learning and deep model reference adaptive control
"Adaptation and Learning from exploration have been a key in biological learning; Humans and animals do not learn every task in isolation; rather are able to quickly adapt the learned behaviors between similar tasks and learn new skills when presented with new situations. Inspired by this, …