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In this paper, we develop a novel reinforcement learning algorithm which requires only system output and converges to an optimal output feedback control policy with expected dynamic performance. An informative reward function based on reference model is adopted to intuitively represent the desired closed-loop performance, which significantly reduces the difficulty of reward construction. A stochastic...
Global buses in deep-submicron (DSM) system-on-chip designs consume significant amounts of power, have large propagation delays, and are easy to catch transmission errors due to DSM noise. A comprehensive fault-tolerant mechanism for transient and permanent failures is proposed in this paper. Based on the special NoC with a network monitor, a flit level point-to-point error detection scheme is added...
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