Abstract Adaptive multiple testing with covariates is an important research direction that has gained major attention in recent years. It been widely recognised leveraging side information provided by auxiliary can improve the power of false discovery rate (FDR) procedures. Currently, most such procedures are devised p-values as their main statistics. However, for two-sided hypotheses, usual da...

direct yaw moment control systems (dyc) can maintain the vehicle in the driver’s desired path by distributing the asymmetric longitudinal forces and the generation of the control yaw moment (cym). in order to achieve the superior control performance, intelligent usage of lateral forces is also required. the lateral wheel forces have an indirect effect on the cym and based upon their directions,...

For multiple testing problems, Benjamini and Hochberg (1995) proposed the false discovery rate (FDR) as an alternative to the family-wise error rate (FWER). Since then, researchers have provided many proofs to control the FDR under different assumptions. Storey et al. (2004) showed that the rejection threshold of a BH step-up procedure is a stopping time with respect to the reverse filtration g...

Hebbian associative learning is a common form of neuronal adaptation in the brain and is important for many physiological functions such as motor learning, classical conditioning and operant conditioning. Here we show that a Hebbian associative learning synapse is an ideal neuronal substrate for the simultaneous implementation of high-gain adaptive control (HGAC) and model-reference adaptive co...

An Adaptive Augmenting Control (AAC) algorithm for the Space Launch System (SLS) has been developed at the Marshall Space Flight Center (MSFC) as part of the launch vehicle’s baseline flight control system. A prototype version of the SLS flight control software was hosted on a piloted aircraft at the Armstrong Flight Research Center to demonstrate the adaptive controller on a full-scale realist...

Service platforms emerge as a dominant strategy for generating innovations. In this paper we argue that leveraging innovations on service platforms requires a careful trade-off between stimulating and controlling generativity. In order to gain a richer understanding of this duality we distill literature on generativity across disciplines. Our review yields two mechanisms for controlling generat...