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Abstract: We propose two new algorithms for solving quadratically constrained quadratic programming (QCQP) problems arising from real-time optimization based control such as model predictive control ...
Abstract: This letter proposes an inverse-free, noise-tolerant neurodynamic approach with a self-adaptive gain for solving time-varying quadratic programming problems (TVQPs). The proposed ...
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