This work presents an associative datafield structure that has been developed for automotive control applications by the institute of control Engineering, Department of control Systems theory and robotics at the Techn...
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This work presents an associative datafield structure that has been developed for automotive control applications by the institute of control Engineering, Department of control Systems theory and robotics at the Technical University of Darmstadt and the Robert Bosch GmbH. In contrast to the state-of-the-art lattice-like datafields, the new system permits the modelling of multidimensional nonlinear process and/or controller characteristics with respect to computational performance and storage capacity provided by automotive control units. Furthermore, the associative datafield allows the compensation of wear and tear and manufacturing tolerances by learning, i.e. online adaptation of its contents. The paper describes the principles of the associative datafield and different update algorithms. Results of simulations using realistic data from car engines are discussed.< >
An approach to dealing with the synthesis of control of discrete event dynamic systems (DEDS) is presented. It simultaneously utilizes both the model of the discrete events system to be controlled and the knowledge re...
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An approach to dealing with the synthesis of control of discrete event dynamic systems (DEDS) is presented. It simultaneously utilizes both the model of the discrete events system to be controlled and the knowledge representation expressing the control task specifications by means of a knowledge base (KB). Both the model and the KB are described mathematically on the base of an analogy with corresponding kinds of Petri nets.
The paper presents a recursive method for computation of 2DFT for rectangular matrices that decreases the number of complex multiplications and leads to very effective implementation on computers with SIMD architectur...
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The technical use of biological or biochemical processes requires additionally to the biological preparation and process engineering an intelligent automatic control engineering whose performance characteristics excel...
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The technical use of biological or biochemical processes requires additionally to the biological preparation and process engineering an intelligent automatic control engineering whose performance characteristics excel the classical approaches. Most fermentations are operated in a phase-building batch mode, which does not allow a linearization of the not or only inexact known process model and the operation near one or several different working points. With Bio X + + an intelligent control system was successfully designed, whose fundamentals and extensions will be the contents of the article at hand
Two different bit-level systolic arrays for digital contour smoothing by Abel-Poisson kernel which minimize the execution time and the number of functional elements required are suggested. The arrays are fully pipelin...
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Two different bit-level systolic arrays for digital contour smoothing by Abel-Poisson kernel which minimize the execution time and the number of functional elements required are suggested. The arrays are fully pipelined on the bit-level achieving very high clock frequency. They are implementable in VLSI and are dedicated for real-time applications.
A VLSI parallel algorithm for solving discretized Poisson equation on an N×N grid is proposed. A standard multigrid algorithm is adopted which allows a parallel solution of this problem in T=O(logN) time steps. A...
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A new method for fast and efficient modeling of nioviiig obstacles in the 3-dimensional configuration-space (c-space) of a multi-link robot is discussed. The method is based on a look-up-Table, which contains the conn...
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The conception of the object-oriented database and the knowledge system represented by production rules is described. The design of the database is problem oiented to FMS and contains the predefined objects' class...
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The conception of the object-oriented database and the knowledge system represented by production rules is described. The design of the database is problem oiented to FMS and contains the predefined objects' classes. The production rules are dIVIded Into three groups: process knowledge rules (they create a dynamic state model of the resources), production plan rules (they define precondition of the operations) and expert knqwledge rules (they create a reasoning model for solving a faulty situation). the real-time temporal logic as an assertion language for the specification of the behaviour of the manufacturing processes is described, and the verification of these behaviour in the stage of simulation is described.
In attempt to find a suitable general exact metodology how to represent the knowledge based systems structure and dynamics in analytical terms by means of Petri nets is made in this paper. In attempting to treat probl...
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In attempt to find a suitable general exact metodology how to represent the knowledge based systems structure and dynamics in analytical terms by means of Petri nets is made in this paper. In attempting to treat problems of the synthesis of control systems for the manufacturing systems by means of a uniform analytical technique, we fInd that the procedure based on the natural inference mechanism of the Petri nets can be used to be a model of the deductive type of an automatic reasoning process. This process represents a principal kernel of the control systems synthesis. The applicability of this approach is illustrated on simple examples
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