A922 Sequential measurement of 1 hour creatinine clearance (1-CRCL) in critically ill patients at risk of acute kidney injury (AKI)

Meeting abstrac

Avoiding sets of measure-zero in navigation transformation based controllers

The Navigation Transformation proposed in [Loizou (2017)] provides a novel solution to the motion and path planning problems, while enabling temporal stabilization up to a set of measure-zero of initial conditions. Since sets of measure zero are explicitly defined for a given workspace, this work proposes an additional control action that steers the system trajectories away from such sets. The provided theoretical results are backed with experimental studies

A feedback-based multiagent navigation framework

In this paper, an on-line multirobot navigation methodology is presented, extending the concept of navigation functions from the single-point-sized holonomic robot domain to the domain of multiple non-point-sized holonomic robots. An appropriate measure of the distance from bad sets, suitable for multirobot navigation, is introduced. The derived closed form analytic solution provides a feedback-based navigation scheme, suitable for implementation, with theoretically guaranteed global convergence and collision avoidance properties. The proposed methodology is validated through non-trivial simulations. © 2006, Taylor & Francis Group, LLC. All rights reserved

Navigation of multiple kinematically constrained robots

In this paper, we propose a methodology for implementing multirobot navigation-function-based controllers to mixed teams of holonomic and nonholonomic agents. A new nonsmooth backstepping controller is introduced for translating kinematic controllers to equivalent dynamic ones, while maintaining bounded velocity specifications. The derived backstepping controller is applied to a dynamic model of the mobile robots, yielding a globally asymptotically stable dynamic controller. The effectiveness of the methodology is verified through nontrivial computer simulations

Decentralized motion control of multiple holonomic agents under input constraints

The navigation function methodology, established in previous work for centralized multiple robot navigation, is extended for decentralized navigation with input constraints. In contrast to the centralized case, each agent plans its actions without knowing the destinations of the other agents. Asymptotic stability is guaranteed by the existence of a global Lyapunov function for the whole system, which is actually the sum of the separate navigation functions. The collision avoidance and global convergence properties as well as input requirements are verified through simulations