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    Tytuł:
    A hybrid control strategy for a dynamic scheduling problem in transit networks
    Autorzy:
    Liu, Zhongshan
    Yu, Bin
    Zhang, Li
    Wang, Wensi
    Powiązania:
    https://bibliotekanauki.pl/articles/2172126.pdf
    Data publikacji:
    2022
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    service reliability
    transit network
    proactive control method
    deep reinforcement learning
    hybrid control strategy
    niezawodność usług
    sieć tranzytowa
    uczenie głębokie
    kontrola hybrydowa
    Opis:
    Public transportation is often disrupted by disturbances, such as the uncertain travel time caused by road congestion. Therefore, the operators need to take real-time measures to guarantee the service reliability of transit networks. In this paper, we investigate a dynamic scheduling problem in a transit network, which takes account of the impact of disturbances on bus services. The objective is to minimize the total travel time of passengers in the transit network. A two-layer control method is developed to solve the proposed problem based on a hybrid control strategy. Specifically, relying on conventional strategies (e.g., holding, stop-skipping), the hybrid control strategy makes full use of the idle standby buses at the depot. Standby buses can be dispatched to bus fleets to provide temporary or regular services. Besides, deep reinforcement learning (DRL) is adopted to solve the problem of continuous decision-making. A long short-term memory (LSTM) method is added to the DRL framework to predict the passenger demand in the future, which enables the current decision to adapt to disturbances. The numerical results indicate that the hybrid control strategy can reduce the average headway of the bus fleet and improve the reliability of bus service.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2022, 32, 4; 553--567
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Numerical model of solidification of cast composite with particles
    Model numeryczny krzepnięcia kompozytu z cząstkami
    Autorzy:
    Ciesielski, M.
    Domański, Z.
    Mochnacki, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/395939.pdf
    Data publikacji:
    2010
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    kompozyt
    krzepnięcie
    model matematyczny krzepnięcia
    cast composite
    solidification
    numerical modelling
    control volume method
    Opis:
    In the paper the numerical model of heat transfer in non-homogeneous domain (cast composite) is considered. The composite is formed by the spherical particles (Pb) and the metal matrix (Al). Initial temperatures of components correspond to solid state (particle) and liquid one (matrix). The heat is transferred from the aluminum matrix and absorbed by the lead particle. The 3D problem, i.e. the cubic control volume with single spherical particle located at the center part of the cube, is considered. A numerical algorithm corresponding to the discussed mathematical model of the boundary-initial problem is constructed on the basis of control volume method and some examples of numerical results are shown.
    Praca dotyczy wymiany ciepła pomiędzy osnową i cząstkami tworzącymi materiał kompozytowy. W szczególności rozpatrywana jest objętość kontrolna (Al) w kształcie sześcianu, w którego środku umieszczona zostaje cząstka (Pb). Wymiary rozpatrywanej objętości kontrolnej zależą od gęstości cząstek wprowadzonych do osnowy. Założono, że objętość kontrolna umieszczona jest w centralnej części odlewanego kompozytu oraz, że warunki brzegowe zadane na powierzchni odlewu i formy nie wpływają na procesy cieplne w tej objętości. Oznacza to, że warunki przyjęte na powierzchniach granicznych sześcianu to warunki adiabatyczne. Równania różniczkowe i warunki brzegowe zapisano w konwencji entalpowej zakładając, że krzepnięcie osnowy i topnienie cząstek zachodzą w stałej temperaturze. Rozpatrywaną objętość kontrolną dzielono na 503 sześcianów. Do obliczeń numerycznych wykorzystano metodę bilansów elementarnych, przyjmując że pola temperatur w ciekłej osnowie i cząstce ołowianej są znane w chwili początkowej oraz, że kontakt między podobszarami układu jest idealny. W trakcie procesu obserwowano topnienie cząstki ołowianej i stygnięcie osnowy. W pracy przedstawiono wyniki symulacji numerycznych w postaci krzywych nagrzewania i stygnięcia w wybranych punktach obszarów, jak również przebieg izoterm w przekroju kompozytu dla kilku wybranych czasów. Ponadto zbadano wpływ zmian udziału objętościowego cząstki w osnowie na przebieg procesu wymiany ciepła.
    Źródło:
    Civil and Environmental Engineering Reports; 2010, 5; 123-132
    2080-5187
    2450-8594
    Pojawia się w:
    Civil and Environmental Engineering Reports
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Robust MPC for actuator-fault tolerance using set-based passive fault detection and active fault isolation
    Autorzy:
    Xu, F.
    Puig, V.
    Ocampo-Martinez, C.
    Olaru, S.
    Niculescu, S. I.
    Powiązania:
    https://bibliotekanauki.pl/articles/330788.pdf
    Data publikacji:
    2017
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    fault detection
    fault isolation
    set theoretic method
    fault tolerant control
    model predictive control
    detekcja uszkodzeń
    lokalizacja uszkodzeń
    sterowanie tolerujące uszkodzenia
    sterowanie predykcyjne
    Opis:
    In this paper, a fault-tolerant control (FTC) scheme is proposed for actuator faults, which is built upon tube-based model predictive control (MPC) as well as set-based fault detection and isolation (FDI). In the class of MPC techniques, tube-based MPC can effectively deal with system constraints and uncertainties with relatively low computational complexity compared with other robust MPC techniques such as min-max MPC. Set-based FDI, generally considering the worst case of uncertainties, can robustly detect and isolate actuator faults. In the proposed FTC scheme, fault detection (FD) is passive by using invariant sets, while fault isolation (FI) is active by means of MPC and tubes. The active FI method proposed in this paper is implemented by making use of the constraint-handling ability of MPC to manipulate the bounds of inputs. After the system has been detected to become faulty, the input-constraint set of the MPC controller is adjusted to actively excite the system for achieving FI guarantees on-line, where an active FI-oriented input set is designed off-line. In this way, the system can be excited in order to obtain more extra system-operating information for FI than passive FI approaches. Overall, the objective of this paper is to propose an actuator MPC scheme with as little as possible of FI conservatism and computational complexity by combining tube-based MPC and set theory within the framework of MPC, respectively. Finally, a case study is used to show the effectiveness of the proposed FTC scheme.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2017, 27, 1; 43-61
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The Gram-Schmidt Method in the Identification of a Generalized Control System
    Autorzy:
    Wysocki, H.
    Powiązania:
    https://bibliotekanauki.pl/articles/911169.pdf
    Data publikacji:
    2000
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    rachunek operatorowy
    pochodna
    system sterowania
    operational calculus
    derivative
    integral
    limit condition
    control system
    identification
    orthonormalization method
    Opis:
    This article discusses the identification of a generalized linear control system described in the Bittner operational calculus by an abstract linear differential equation with constant coefficients. The identification problem leads to that of the best approximation in the vector space l_m^2 and is solved by using the Gram-Schmidt orthonormalization method. The classical Strejc method and the Shinbrot modulating function method are generalized here.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2000, 10, 2; 245-271
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An SQP trust region method for solving the discrete-time linear quadratic control problem
    Autorzy:
    Mostafa, E. M. E.
    Powiązania:
    https://bibliotekanauki.pl/articles/331409.pdf
    Data publikacji:
    2012
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    programowanie sekwencyjne
    programowanie kwadratowe
    system dyskretno-czasowy
    output feedback control design
    sequential quadratic programming
    trust region method
    Opis:
    In this paper, a sequential quadratic programming method combined with a trust region globalization strategy is analyzed and studied for solving a certain nonlinear constrained optimization problem with matrix variables. The optimization problem is derived from the infinite-horizon linear quadratic control problem for discrete-time systems when a complete set of state variables is not available. Moreover, a parametrization approach is introduced that does not require starting a feasible solution to initiate the proposed SQP trust region method. To demonstrate the effectiveness of the method, some numerical results are presented in detail.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2012, 22, 2; 353-363
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Convergence of the Lagrange-Newton Method for Optimal Control Problems
    Autorzy:
    Malanowski, K. D.
    Powiązania:
    https://bibliotekanauki.pl/articles/907971.pdf
    Data publikacji:
    2004
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sterowanie optymalne
    ograniczenia mieszane
    metoda Lagrange'a-Newtona
    optimal control
    nonlinear ODEs
    mixed constraints
    Lagrange-Newton method
    Opis:
    Convergence results for two Lagrange-Newton-type methods of solving optimal control problems are presented. It is shown how the methods can be applied to a class of optimal control problems for nonlinear ODEs, subject to mixed control-state constraints. The first method reduces to an SQP algorithm. It does not require any information on the structure of the optimal solution. The other one is the shooting method, where information on the structure of the optimal solution is exploited. In each case, conditions for well-posedness and local quadratic convergence are given. The scope of applicability is briefly discussed.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2004, 14, 4; 531-540
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Finite-Dimensional Control of Nonlinear Parabolic Pde Systems With Time-Dependent Spatial Domains Using Empirical Eigenfunctions
    Autorzy:
    Armaou, A.
    Christofides, P. D.
    Powiązania:
    https://bibliotekanauki.pl/articles/908332.pdf
    Data publikacji:
    2001
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sterowanie nieliniowe
    sterowanie skończenie wymiarowe
    Karhunen-Loeve expansion
    Galerkin's method
    nonlinear control
    diffusion-reaction processes with moving boundaries
    Opis:
    This article presents a methodology for the synthesis of finite-dimensional nonlinear output feedback controllers for nonlinear parabolic partial differential equation (PDE) systems with time-dependent spatial domains. Initially, the nonlinear parabolic PDE system is expressed with respect to an appropriate time-invariant spatial coordinate, and a representative (with respect to different initial conditions and input perturbations) ensemble of solutions of the resulting time-varying PDE system is constructed by computing and solving a high-order discretization of the PDE. Then, the Karhunen-Loeve expansion is directly applied to the ensemble of solutions to derive a small set of empirical eigenfunctions (dominant spatial patterns) that capture almost all the energy of the ensemble of solutions. The empirical eigenfunctions are subsequently used as basis functions within a Galerkin model reduction framework to derive low-order ordinary differential equation (ODE) systems that accurately describe the dominant dynamics of the PDE system. The ODE systems are subsequently used for the synthesis of nonlinear output feedback controllers using geometric control methods. The proposed control method is used to stabilize an unstable steady-state of a diffusion-reaction process with nonlinearities, spatially-varying coefficients and time-dependent spatial domain, and is shown to lead to the construction of accurate low-order models and the synthesis of low-order controllers. The performance of the low-order models and controllers is successfully tested through computer simulations.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2001, 11, 2; 287-317
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A quadratic optimal control problem for a class of linear discrete distributed systems
    Autorzy:
    Rachik, M.
    Lhous, M.
    El Kahlaoui, O.
    Labriji, E.
    Jourhmane, H.
    Powiązania:
    https://bibliotekanauki.pl/articles/908382.pdf
    Data publikacji:
    2006
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    system dyskretny
    rozproszony system komputerowy
    system liniowy
    sterowanie optymalne
    discrete distributed system
    Hilbert uniqueness method
    linear system
    optimal control
    Opis:
    A linear quadratic optimal control problem for a class of discrete distributed systems is analyzed. To solve this problem, we introduce an adequate topology and establish that optimal control can be determined though an inversion of the appropriate isomorphism. An example and a numerical approach are given.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2006, 16, 4; 431-440
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A multivariable multiobjective predictive controller
    Autorzy:
    Ben Aicha, F.
    Bouani, F.
    Ksouri, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/331360.pdf
    Data publikacji:
    2013
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    closed loop performance
    coupled multivariable system
    generalized predictive control
    multiobjective optimization
    weighted sum method
    NSGA-II
    układ wielowymiarowy
    sterowanie predykcyjne
    optymalizacja wielokryterialna
    metoda sumy ważonej
    Opis:
    Predictive control of MIMO processes is a challenging problem which requires the specification of a large number of tuning parameters (the prediction horizon, the control horizon and the cost weighting factor). In this context, the present paper compares two strategies to design a supervisor of the Multivariable Generalized Predictive Controller (MGPC), based on multiobjective optimization. Thus, the purpose of this work is the automatic adjustment of the MGPC synthesis by simultaneously minimizing a set of closed loop performances (the overshoot and the settling time for each output of the MIMO system). First, we adopt the Weighted Sum Method (WSM), which is an aggregative method combined with a Genetic Algorithm (GA) used to minimize a single criterion generated by the WSM. Second, we use the Non- Dominated Sorting Genetic Algorithm II (NSGA-II) as a Pareto method and we compare the results of both the methods. The performance of the two strategies in the adjustment of multivariable predictive control is illustrated by a simulation example. The simulation results confirm that a multiobjective, Pareto-based GA search yields a better performance than a single objective GA.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2013, 23, 1; 35-45
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Evolutionary optimization of interval mathematics-based design of a TSK fuzzy controller for anti-sway crane control
    Autorzy:
    Smoczek, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/330615.pdf
    Data publikacji:
    2013
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    interval mathematics
    pole placement method
    evolutionary algorithm
    fuzzy logic
    TSK controller
    anti-sway crane control
    matematyka przedziałowa
    metoda lokowania biegunów
    algorytm ewolucyjny
    logika rozmyta
    sterownik TSK
    Opis:
    A hybrid method combining an evolutionary search strategy, interval mathematics and pole assignment-based closed-loop control synthesis is proposed to design a robust TSK fuzzy controller. The design objective is to minimize the number of linear controllers associated with rule conclusions and tune the triangular-shaped membership function parameters of a fuzzy controller to satisfy stability and desired dynamic performances in the presence of system parameter variation. The robust performance objective function is derived based on an interval Diophantine equation. Thus, the objective of a fuzzy logic-based control scheme is to place all the closed-loop control system characteristic polynomial coefficients within desired intervals. The reproduction process in the proposed Evolutionary Algorithm (EA) is based on the arithmetical crossover, uniform and non-uniform mutation along with gene deletion/insertion mutation ensuring a diversity of genomes sizes, as well as a diversity in the parameter space of membership functions. The proposed algorithm was implemented to design a fuzzy logic-based anti-sway crane control system taking into consideration the rope length and the mass of a payload variation. The results of experiments conducted using the EA for different conditions assumed for system parameter intervals and desired closed-loop system performances are compared with results achieved using the iterative procedure which is also described in the paper.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2013, 23, 4; 749-759
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-10 z 10

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