Abstract: In this paper, we propose a data-driven strategy to iteratively find the state feedback gain matrix solving a Linear Quadratic Regulator (LQR) problem in a model-free fashion, i.e., under ...
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Our tool TalisMan 1.0 is able to parse and verify AIGs. For further information we refer to the paper Clemens Hofstadler, Daniela Kaufmann. Guess and Prove: A Hybrid Approach to Linear Polynomial ...
Abstract: In this paper, we propose a new noise-tolerant neurodynamic algorithm with fixed-time convergence to solve mixed variational inequality problems (MVIPs) and design the circuit framework for ...
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