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to dissociate memories. Finally, it proposes to use this information to come up with novel strategies to make machines unlearn better, more efficiently, and more safely. The potential impact of this project is
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Optimization-based control explores the use of optimization algorithms for feedback control of dynamical systems. For example, model predictive control (MPC) is a widely used optimization-based control method
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the applied to the fundamental, covering such areas as understanding the evolution of the microstructure of nitride semiconductors; development of nanotemplates for patterned growth of nanowires; optimization
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design of instrument performance. key words mathematical modeling; differential equations; simulation; perturbation methods; optimization Eligibility Citizenship: Open to U.S. citizens Level: Open to
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implementations on computers. We are particularly interested in nonlinear optimization problems, which involve computationally intensive function evaluations. Such problems are ubiquitous; they arise in simulations
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, the parameter adjustments are usually performed in a brute-force manner, without considerations of nonlinear coupling between multiple parameters. As a result, the models (that reproduce the data that they were
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to discover techniques to enable robust, versatile, closed-loop systems that improve performance throughout the sensory-perceptual-motor decision-making cycle by leveraging knowledge of human nervous system