Last issue
2017 (vol. 27) - Number 2


W. Bozejko, M. Wodecki:

Discrete Systems: Theory and Applications. Special issue.



G. Bocewicz, Z. Banaszak, I. Nielsen:

Delivery-flow routing and scheduling subject to constraints imposed by vehicle flows in fractal-like networks



W. Bozejko, A. Gnatowski, R. Idzikowski, M. Wodecki:

Cyclic flow shop scheduling problem with two-machine cells



W. Bozejko, M. Uchronski,, Z. Chaczko, M. Wodecki:

Parallel patterns determination in solving cyclic flow shop problem with setups



J. Brodny, S. Alszer, J. Krystek, M. Tutak:

Availability analysis of selected mining machinery



K. Chmielewska, D. Formanowicz, P. Formanowicz:

The effect of cigarette smoking on endothelial damage and atherosclerosis development - modeled and analyzed using Petri nets



A. Galuszka, J. Krystek, A. Swierniak, T. Grzejszczak, C. Lungoci:

Information management in passenger traffic supporting system design as a multi-criteria discrete optimization task



M. Kardynska, J. Smieja:

Sensitivity analysis of signaling pathway models based on discrete-time measurements



J. Kasprzyk, P. Krauze, S. Budzan, J. Rzepecki:

Vibration control in semi-active suspension of the experimental off-road vehicle using information about suspension deflection



M. Koryl, D. Mazur:

Towards emergence phenomenon in business process management



M. Koryl:

Active resources concept of computation for enterprise software



H. Krawczyk, M. Nykiel:

Mobile devices and computing cloud resources allocation for interactive applications



W. Mitkowski, W. Bauer, M. Zagórowska:

Discrete-time feedback stabilization



J. Pempera:

An exact block algorithm for no-idle RPQ problem



K. Rzosinska, D. Formanowicz, P. Formanowicz:

The study of the influence of micro-environmental signals on macrophage differentiation using a quantitative Petri net based model



K. Skrzypczyk , M. Mellado:

Vehicle navigation in populated areas using predictive control with environmental uncertainty handling



W. Bozejko, J. Pempera, M. Wodecki:

A fine-grained parallel algorithm for the cyclic flexible job shop problem




ACS Abstract:

1995 (Volume 4)
Number 3/4
1. Error convergence rate for multiple-recursion RLS estimation in linear multi-step prediction models
2. Calculation of the integral square error for systems with noncommensurate delays
3. Application of error covariance matrices in identification of parametric models
4. Simplified conditions of controllability and observability for a model of flexible structures
5. Robust exponential stability of evolution equations
6. Prediction of limit cycles in nonlinear multivariable systems
7. Two-level, partially decentralized resource allocation in a large scale dynamic system
8. A new control algorithm with weather forecast for energy efficient potato storage
9. Rules of fault isolation


Error convergence rate for multiple-recursion RLS estimation in linear multi-step prediction modelsDownload full PDF article
Antoni Niederliński
(Silesian University of Technology, Poland)

It is demonstrated that parameters of linear - step prediction models may be consistently estimated using a modified version of the classic RLS algorithm - the - recursion RLS algorithm. This is done by deriving a new upper bound for the error convergence rate in - recursion RLS estimation of linear - step prediction models. It generalizes a result published recently. The most important factor determining convergence rate is the minimum eigenvalue of the inverse data matrix, . Some of its properties are discussed, special attention being paid to its time trajectories and the way it is controlled by plant inputs, both for undiscounted and - discounted - recursion RLS. The deterioration of excitation properties caused by forgetting factor are highlighted. However, it turns out that this deterioration, while preventing estimates from being consistent in the case of disturbed plant parameter estimation with white noise excitation, does not prevent them from being consistent in the case of undisturbed plant parameter estimation with white noise excitation.

keywords: multiple-recursion recursive least squares, estimation error, consistency, convergence rate, persistent excitation.

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Calculation of the integral square error for systems with noncommensurate delaysDownload full PDF article
Henryk Górecki and Janusz Miller
(University of Mining and Metallurgy, Poland)

In this paper, an approximate method of the integral square error for systems with many noncomensurate delays is described. The noncomensurate exponential terms are substituted by the Pad? approximation terms. This method yields to the analytical results. Effectiveness of the method is illustrated by an example of the Smith-predictor. It is proved that the optimal values of the gain is in this case always in the stable region.

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Application of error covariance matrices in identification of parametric modelsDownload full PDF article
Krzysztof B. Janiszowski
(Warsaw University of Technology, Poland)

The paper presents some applications of a covariance matrix of estimation errors to analysis of properties of the estimated parametric model of a plant. The estimation errors are presented in the form of mutually independent, Gaussian distributed processes. This presentation yields a set of probable parametric models of a plant with required confidence level. Theorems and lemmas for estimation of the gain factor and frequency responses of the model are presented. It is shown how to deal with stability of a control system having uncertainties introduced by the statistic estimated model of the plant. The results show the relevance of all elements of the estimation errors covariance matrix, not only the main diagonal, which are used for determination of standard deviations of the model coefficients. Such approach is based on the knowledge of the covariance matrix; hence possibilities of estimation of this matrix elements at different estimation schemes are examined by simulation. The results for least squares, extended least squares, instrumental variable and maximum likelihood methods are compared.

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Simplified conditions of controllability and observability for a model of flexible structuresDownload full PDF article
Toshihiro Kobayashi
(Kyushu Institute of Technology, Japan)

Controllability and observability are discussed for a certain model of flexible structures governed by a second-order evolution equation. It is complicated to check directly controllability and observability of the second-order system because of the existence of a high-order differential operator and a damping operator. By frequency-domain methods, it is shown that controllability and observability of the model of flexible structures can be checked by the conditions for the corresponding simplified first-order system in the case where the damping operator has a special but practical form. This approach is less complicated than the direct approach.

keywords: controllability, observability, generalized second-order systems.

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Robust exponential stability of evolution equationsDownload full PDF article
S.P. Banks, A. Moser and D. McCaffrey
(University of Sheffield, England)

Exponential Stability for a class of finite- and infinite-dimensional nonlinear, time-varying systems is studied by regarding the system as a perturbation from a fixed operator. A new generalized Gronwall inequality is also proved.

keywords: exponential stability, pseudo-linear systems, gronwall inequality.

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Prediction of limit cycles in nonlinear multivariable systemsDownload full PDF article
Kartik Chandra Patra and Bibhuti Bhusan Pati
(Indira Gandhi Institute of Technology, India)
Janusz Kacprzyk
(Polish Academy of Sciences, Poland)

Prediction of limit cycles has been made for a class of nonlinear multivariable systems and investigation has also been made on how the amplitude and frequency of limit cycles are affected by increase in structural complexity of the system. Further attempt has also been made at modification of the techniques in the analysis of limit cycles for the system of complex structure. The technique of analysis has been illustrated through examples and the accuracy of the results of analytical method has been compared with the results from digital simulation.

keywords: limit cycles, multivariable, nonlinear, describing function, harmonic balance.

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Two-level, partially decentralized resource allocation in a large scale dynamic systemDownload full PDF article
Ryszard Gessing and Zenon Duda
(Silesian University of Technology, Poland)

A two-level, partially decentralized control for resource allocation in a large-scale dynamic system is considered. The case of different information of the coordinator and also of particular local controllers is researched. The coordinator has the information which has an essential meaning for the whole system, while the local controllers - more detailed information concerning the particular subsystems. The periodic coordination is considered in which the coordinator takes decisions less frequently than the local controllers. An original modification of the price coordination method suitable for different information of particular controllers is proposed. One-step performance index utilized in the approach gives significant simplification of calculations.

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A new control algorithm with weather forecast for energy efficient potato storageDownload full PDF article
Ewa Wachowicz
(Engineering High School, Poland)
Jerzy Pułaczewski
(Warsaw University of Technology, Poland)

Electric energy saving during potato storage on a commercial scale is a very important technical and economical problem. In order to achieve the energy saving a new potatoes ventilating system with the use of weather forecast and mathematical process model was proposed. Numerous real experiments and simulation results showed that a key problem is the choice of the parameter which determine the compromise between quality of the temperature control of potatoes and electric energy consumption needed to ventilate the potatoes. For the choice of the mentioned parameter a fuzzy logic approach was used.

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Rules of fault isolationDownload full PDF article
Jan Maciej Kościelny
(Warsaw University of Technology, Poland)

The paper presents a way of description of an object of diagnosis for fault isolation purposes. Two methods of deterministic diagnostic reasoning: parallel and sequential, have been described. Probabilistic principles of diagnosis formulation have also been given. Presented considerations have been illustrated by examples of fault isolation for a three-tank system.

keywords: diagnostics, fault detection, fault isolation, deterministic, probabilistic reasoning.

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