This book introduces readers with a background in linear algebra to a robust new framework for developing control algorithms. Rather than making probabilistic assumptions about the world, nonstochastic online control provides efficient gradient-based algorithms that can operate in the presence of uncertainty and unforeseeable disturbances.
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This book introduces readers with a background in linear algebra to a robust new framework for developing control algorithms. Rather than making probabilistic assumptions about the world, nonstochastic online control provides efficient gradient-based algorithms that can operate in the presence of uncertainty and unforeseeable disturbances.
