Patents Assigned to KISTERS AG
  • Patent number: 11568104
    Abstract: A system for solving an event-dependent multicriteria optimization problem of at least one cyber-physical system, comprising a control device for controlling the at least one cyber-physical system, the control device controlling the cyber-physical system in dependence on a list of prioritized objectives by solving at least one event-dependent suboptimization problem is characterized in that each objective from the list of prioritized objectives is captured as an objective function, each objective function consisting of at least two parts, a first part of which relates to directly capturing the objective and a second part of which describes a condition under which each result of one of the preceding objectives of each of the preceding suboptimization problems is substantially not negatively affected.
    Type: Grant
    Filed: January 26, 2021
    Date of Patent: January 31, 2023
    Assignee: KISTERS AG
    Inventor: Jorn Huibregt Baayen
  • Publication number: 20210232734
    Abstract: A system for solving an event-dependent multicriteria optimization problem of at least one cyber-physical system, comprising a control device for controlling the at least one cyber-physical system, the control device controlling the cyber-physical system in dependence on a list of prioritized objectives by solving at least one event-dependent suboptimization problem is characterized in that each objective from the list of prioritized objectives is captured as an objective function, each objective function consisting of at least two parts, a first part of which relates to directly capturing the objective and a second part of which describes a condition under which each result of one of the preceding objectives of each of the preceding suboptimization problems is substantially not negatively affected.
    Type: Application
    Filed: January 26, 2021
    Publication date: July 29, 2021
    Applicant: KISTERS AG
    Inventor: Jorn Huibregt Baayen
  • Patent number: 10564085
    Abstract: A device and method for measuring precipitation, in particular snowfall or hail, which has a measuring chamber for receiving a precipitation particle, at least one light source for radiating the measuring chamber with light, and at least one sensor for sensing an intensity of the light radiating through the measuring chamber. At least two measurement areas, which are arranged one below the other, are provided in the measuring chamber, and the intensity of the light radiating through each of the measurement areas can be detected separately.
    Type: Grant
    Filed: July 6, 2016
    Date of Patent: February 18, 2020
    Assignee: KISTERS AG
    Inventors: Martin Löffler-Mang, Manuel Del Fabro
  • Publication number: 20180238787
    Abstract: A device and method for measuring precipitation, in particular snowfall or hail, which has a measuring chamber for receiving a precipitation particle, at least one light source for radiating the measuring chamber with light, and at least one sensor for sensing an intensity of the light radiating through the measuring chamber. At least two measurement areas, which are arranged one below the other, are provided in the measuring chamber, and the intensity of the light radiating through each of the measurement areas can be detected separately.
    Type: Application
    Filed: July 6, 2016
    Publication date: August 23, 2018
    Applicant: KISTERS AG
    Inventors: Martin LÖFFLER-MANG, Manuel DEL FABRO
  • Publication number: 20150205276
    Abstract: A computer-implementable method generates scenario trees for optimal control of systems on the basis of only stochastically describable influencing values. The scenario tree generated describes a recursive decision process, with flexible decision time points, which stably approximates the underlying stochastic processes. A large number of scenarios are generated recursively from the temporally successive branching points of the scenario structure up to the next decision time point and reduced on the basis of a suitable distance dimension. For the theoretically provable achievement of the distribution, a Fortet-Mourier metric and if appropriate a filtration distance should be taken into account for clustering the partial scenarios. The (multidimensional) values at the end of the resulting reduced scenarios result in new branching points.
    Type: Application
    Filed: April 19, 2013
    Publication date: July 23, 2015
    Applicant: KISTERS AG
    Inventors: Markus Traeuble, Gerhard Doeding
  • Publication number: 20150134581
    Abstract: Method of training an artificial neural network, comprising at least one layer with input neurons and one output layer with output neurons which are adapted differently from the input neurons.
    Type: Application
    Filed: April 17, 2013
    Publication date: May 14, 2015
    Applicant: KISTERS AG
    Inventors: Gerhard Doeding, László Germán, Klaus Kemper