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Abstract: In this paper, we solve a class of time-varying optimization problems. A dynamic inversion approach is used to provide a continuous-time optimization algorithm. The dynamic inversion yield a ...
Abstract: Distributed optimization finds many applications in machine learning, signal processing, and control systems. In these real-world applications, the constraints of communication networks, ...
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