In recent years, high-order fully actuated (HOFA) systems, founded by Prof. GR Duan, have recorded rapid progress for deterministic systems. However, the control issue of stochastic systems is still an open problem. This study develops a novel HOFA system model that complements existing methodology. Notably, signals can be considered in proposed model, different from case model. By adopting operator, equivalent and stabilization laws are realized to guarantee global asymptotic stability...

This article investigates the problem of fault-tolerant control for stochastic high-order fully actuated systems (FASs) with actuator faults. Different from majority existing studies focusing on deterministic FASs, this work introduces disturbances into systems. Employing generalized martingale technique, a novel equivalent controller is formulated. Additionally, an adaptive compensation law constructed to address time-varying faults promptly. The designed preclosed-loop strategy advocates...

Many aspects and properties of Recommender Systems have been well studied in the past decade, however, impact User Fatigue has mostly ignored literature. fatigue represents phenomenon that a user quickly loses interest on recommended item if same presented to this multiple times before. The direct caused by is dramatic decrease Click Through Rate (CTR, i.e., ratio clicks impressions). In paper, we present comprehensive study research online recommender systems. By analyzing behavioral logs...

This paper concerns the proposal and analysis of a novel spatial parallel manipulator. The manipulator consists base plate, movable platform, three connecting legs. moving platform has degrees freedom (DoFs), which are two translational one degree rotational freedom, with respect to plate. inverse forward kinematics problems described in closed forms velocity equation new is given. Three kinds singularities presented. workspace for analyzed systematically. Especially, indices evaluate...

Facility layout problems (FLPs) in hospitals are typically to arrange facilities or rooms along both sides of a corridor minimize some objectives. In hospital, very often there center-islands decrease the flow cost among rooms. However, these islands have not been considered before. this article, we propose an FLP with that involves two parallel rows and center-islands. A mixed-integer program formulation is established for modeling it. methodology combining multiobjective evolutionary...

Automated generation of high-quality topical hierarchies for a text collection is dream problem in knowledge engineering with many valuable applications. In this paper scalable and robust algorithm proposed constructing hierarchy topics from collection. We divide conquer the using top-down recursive framework, based on tensor orthogonal decomposition technique. solve critical challenge to perform inference our newly designed hierarchical topic model. Experiments various real-world datasets...

This paper develops a stochastic high-order fully-actuated systems model that complements the existing highorder system methodology. Different from deterministic model, signals can be considered in proposed version. By employing operator, equivalent control and stabilization laws are obtained to guarantee global asymptotical stability probability of closed-loop system. Finally, simulation results show effectiveness schemes.

Following the high-order fully actuated (HOFA) systems proposed by Prof. GR Duan, stochastic (SHOFA) were also developed to consider disturbances. However, existing studies require that disturbances disappear at equilibrium point, which limits applicability of method. This paper proposes a novel control scheme stabilize SHOFA with persistent The characterization is analyzed utilizing concepts probabilistic ultimate bounds and invariant sets. Therefore, quantitative indices in probability are...

In digital health, the strategy of allocating a limited treatment budget across available risk times is crucial to reduce user fatigue. This strategy, however, encounters significant obstacle due unknown actual number times, factor not adequately addressed by existing methods lacking theoretical guarantees. paper introduces, for first time, online uniform sampling problem within approximation algorithm framework. We propose two algorithms this problem, one with and without learning...

Abstract This paper proposes a dual‐frequency three‐dimensional wireless power transfer system, which can achieve dual channel independent maximum of two movable receivers. Based on the compensation network, magnetic field orientation strategy and current control are developed. Accordingly, mathematical model proposed system is established, providing theoretical support for mutual non‐interference between channels with different frequencies. On this basis, an iterative optimization designed...

Faceted navigation is a very useful component in today's search engines. It especially when user has an exploratory information need or prefer certain attribute values than others. Existing work tried to optimize faceted systems many aspects, but little been done on optimizing numerical facet ranges (e.g., price of product). In this paper, we introduce for the first time research problem range partition and formally frame it as optimization problem. To enable quantitative evaluation...

This paper portrays a class of local faults, whose basic characteristic is that the fault occurs only when system in certain state domain. In engineering practice, such faults are prevalent and could affect efficiency greatly. To accurately tolerate these novel control strategy proposed. The globally asymptotical stability probability guaranteed by using time-varying gains on pre-divided fields. Finally, numerical example presented to demonstrate effectiveness proposed framework.

Mobile health (mHealth) technologies aim to improve distal outcomes, such as clinical conditions, by optimizing proximal outcomes through just-in-time adaptive interventions. Contextual bandits provide a suitable framework for customizing interventions according individual time-varying contexts, intending maximize cumulative outcomes. However, unique challenges modeling count within bandit frameworks have hindered the widespread application of contextual mHealth studies. The current work...