Search

Klebsiella pneumoniae (K. pneumoniae) is a common pathogenic bacteria that causes numerous infectious diseases. Hypervirulent K. pneumoniae (hvKP) can lead to invasive K. pneumoniae liver abscess syndrome, which can induce life-threatening multiple organ dysfunction syndrome or septic shock. We report a case of invasive K. pneumoniae liver abscess syndrome caused by hvKP and discuss the treatment options of this syndrome. Appropriate antimicrobial drugs should be administered to improve prognosis and prevent complications, and laboratory testing is essential to guide clinical management and optimize patient outcomes. [ABSTRACT FROM AUTHOR]

An adaptive predictor-corrector guidance algorithm is presented to improve the performance of atmospheric entry guidance. In the predictor, a virtual entry terminal (VET) is employed instead of an actual terminal to reduce the computational request. The VET is adaptively selected from a reference trajectory according to the vehicle's authority to cancel disturbances; thus, it is reachable by the vehicle in different cases. In the corrector, an effective modification method for the bank angle and the angle of attack is designed. With the predictor-corrector algorithm, the vehicle is able to reach the VET. After the VET, a reference trajectory tracking law is employed to fly the vehicle to the actual entry terminal. The adaptive entry guidance method is verified using Monte Carlo simulations. A comparison with the conventional predictorcorrector algorithm shows that the computation time is significantly reduced by employing the VET in the adaptive algorithm. [ABSTRACT FROM AUTHOR]

Time-varying group formation tracking problems for general linear multi-agent systems with unknown control input and switching topologies are studied. There are two kinds of agents, leaders and followers. Leaders with unknown control input can generate unpredictable and maneuverable trajectories. Followers accomplish macroscopic moving guided by single or multiple leaders of respective subgroups and keep desired time-varying sub-formations simultaneously. Agents are assigned in groups and interactions within or between groups both exist owning to the design of Laplacian matrix. First, the time-varying group formation tracking problem is described and group division is analyzed through adjustment of properties in Laplacian matrix. Then the control protocols based on neighboring interaction relationships are introduced. Influence of unknown control input from leaders can be handled and information is delivered effectively so that followers can accomplish expected formations. An algorithm is given to determine control parameters and the formation tracking feasible constraint is presented. Next the stability of themulti-agent system with group division is proved, whichmeans the general linear multi-agent systemcan accomplish time-varying group formation tracking with unknown control input and switch topologies under designed protocols. At last, a numerical simulation is given to verify the effectiveness of presented theoretical results. [ABSTRACT FROM AUTHOR]

Practical formation-containment tracking issues for the multiple autonomous surface vessels system with multiple leader vessels are considered. The follower vessels' states are designed to track the convex combination of the leader vessels' states, which are required to actualise the predefined time-varying formation tracking. Firstly, this study establishes the dynamic models of the multiple vessels system, where the outer-loop kinematic model and inner-loop dynamic model are considered simultaneously. Then, the practical formation-containment tracking protocols are devised based on distributed extended state observers, where the mismatched uncertainties and leader vessels' control input signals are estimated and compensated. Thirdly, an algorithm is presented to give the procedures for designing the control protocols, in which the feasible time-varying formations of leader's vessels are raised. A series of linear matrix inequalities are solved for obtaining the control parameters. Sufficient conditions for actualising the practical formation-containment tracking are derived. Finally, numerical simulation results reveal the effectiveness of the acquired theories. [ABSTRACT FROM AUTHOR]

In this paper, an embedded control system is developed to measure the yield strength of the material plate with an applied load. A systematic approach is proposed to handle special requirements of embedded control systems, which are different from computer-based control systems, as there are much less hardware resources and computational power available. An efficient control algorithm has to be designed to remove the CPU burden so that the microcontroller has enough power available. A three-step approach is proposed to address the embedded control issue: firstly, the mathematical description of the whole system is studied using both theoretical and experimental methods. A mathematical model is derived from the physical models of each component used, and an experiment is retrieved by employing Levy's method and least-square estimation to identify specific parameters of the system model. Secondly, a feedforward plus feedback controller is designed and simulated as a preparation for the embedded system implementation. The cerebellar model articulation controller (CMAC) is chosen as the feedforward part, and a PD controller is used as the feedback part to train the CMAC. Finally, the proposed algorithm is applied in the embedded system, and experiments are conducted to verify both the identified model and designed controller. [ABSTRACT FROM AUTHOR]