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    Wyświetlanie 1-5 z 5
    Tytuł:
    Identification of water treatment plant based on feedforward neural network
    Autorzy:
    Mohamed, A. F.
    Radwa, H. Z.
    Powiązania:
    https://bibliotekanauki.pl/articles/971051.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    water treatment plant
    coagulation process
    PID
    neural network control
    Opis:
    Coagulation process is the main process in conventional water treatment process sequence. It influences the following treatment process aspects: maintaining plant efficiency and increasing the quality of the produced water. This is accomplished by adding chemicals to raw water, such as alum sulphate. To secure the appropriate plant performance, a mathematical model is proposed in this paper for the coagulation unit, followed by the development of the control strategy. Classic PID and neural network based controller regulating the process are used. Tests were performed, based on the real data for water treatment, using MATLAB/SIMULINK. Simulation results showed better values for both settling time and overshoot in the case of using neural network based controller than PID.
    Źródło:
    Control and Cybernetics; 2017, 46, 3; 247-258
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multi-criteria approach to comparison of inspection allocation for multi-product manufacturing systems in make-to-order sector
    Autorzy:
    Korytkowski, P.
    Wiśniewski, T.
    Zaikin, O.
    Powiązania:
    https://bibliotekanauki.pl/articles/971015.pdf
    Data publikacji:
    2010
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    production line
    queuing network
    quality control
    make-to-order
    Opis:
    This paper studies multi-product production manufacturing systems with in-line quality control. Quality control is carried at inspection stations located within a production line. Quality control has an impact on performance of the system: throughput decreases and resource utilization increases. Production lines are modeled as a multi-product Open Jackson Network, where stochastic character of routing is a result of quality control operations. Quality inspection can result in feedback to a work station of the manufacturing system. The approach developed allows for comparing different inspection allocations using three principal indices: overall cost, lead-time and equipment utilization.
    Źródło:
    Control and Cybernetics; 2010, 39, 1; 97-116
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An adaptive fuzzy network for control of manipulating robot dynamic behavior
    Autorzy:
    Petrović, P.
    Milacić, V.
    Powiązania:
    https://bibliotekanauki.pl/articles/206872.pdf
    Data publikacji:
    1998
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    model dynamiczny rozmyty
    robot
    sterowanie adaptacyjne
    adaptive fuzzy network
    fuzzy dynamic model
    impedance control
    manipulating robots
    Opis:
    In this paper is considered the problem how to achieve a specific dynamic behavior of robot end-point from the aspect of impedance control and actuation redundancy. The target impedance is analytically formulated. Due to its complexity, analytical formulation is not suitable for real-time application. To overcome this problem, a simple fuzzy model of isotropic impedance in the form of adaptive fuzzy network is proposed. This model is incorporated in the general form of impedance control law, so that a new fuzzy-impedance control law is obtained. Verification of the proposed control law is provided by computer simulation, taking as example 2-d.o.f. manipulating robot.
    Źródło:
    Control and Cybernetics; 1998, 27, 4; 503-519
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Cold rolling mill thickness control using the cascade-correlation neural network
    Autorzy:
    Frayman, Y.
    Wang, L.
    Wan, C.
    Powiązania:
    https://bibliotekanauki.pl/articles/206844.pdf
    Data publikacji:
    2002
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    konstrukcja dynamicznej sieci neuronowej
    sieć neuronowa kaskadowo-korelacyjna
    sterowanie grubością walcowni zimnej
    cascade-correlation neural network
    cold rolling mill thickness control
    direct MRAC
    dynamic neural network construction
    Opis:
    The improvements in thickness accuracy of a steel strip produced by a tandem cold-rolling mill are of substantial interest to the steel industry. In this paper, we designed a direct model-reference adaptive control (MRAC) scheme that exploits the natural level of excitation existing in the closed-loop with a dynamically constructed cascade-correlation neural network (CCNN) as a controller for cold rolling mill thickness control. Simulation results show that the combination of a such a direct MRAC scheme and the dynamically constructed CCNN significantly improves the thickness accuracy in the presence of disturbances and noise in comparison with to the conventional PID controllers.
    Źródło:
    Control and Cybernetics; 2002, 31, 2; 327-342
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Network optimality conditions
    Autorzy:
    Osmolovskii, Nikolai P.
    Qian, Meizhi
    Sokołowski, Jan
    Powiązania:
    https://bibliotekanauki.pl/articles/31343935.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    network
    optimal control problem
    weak local minimum
    Pontryagin’s maximum principle
    critical cone
    quadratic form
    second order optimality conditions
    Riccati equation
    Opis:
    Optimality conditions for optimal control problems arising in network modeling are discussed. We confine ourselves to the steady state network models. Therefore, we consider only control systems described by ordinary differential equations. First, we derive optimality conditions for the nonlinear problem for a single beam. These conditions are formulated in terms of the local Pontryagin maximum principle and the matrix Riccati equation. Then, the optimality conditions for the control problem for networks posed on an arbitrary planar graph are discussed. This problem has a set of independent variables xi varying within their intervals [0, li], associated with the corresponding beams at network edges. The lengths li of intervals are not specified and must be determined. So, the optimization problem is non-standard, it is a combination of control and design of networks. However, using a linear change of the independent variables, it can be reduced to a standard one, and we show this. Two simple numerical examples for the single-beam problem are considered.
    Źródło:
    Control and Cybernetics; 2023, 52, 2; 129-180
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

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