In this paper, the possibility of the application of the Balance-Based Adaptive Control (B-BAC) methodology to control the second order system is discussed. Conventionally, the B-BAController is based on the simplifie...
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In this paper, the possibility of the application of the Balance-Based Adaptive Control (B-BAC) methodology to control the second order system is discussed. Conventionally, the B-BAController is based on the simplified first order dynamical model of the process, which stands as the significant limitation when the real system is of the higher order. Due to the application of the suggested quasi-cascade control structure, this constraint is removed and the superiority of this approach is presented by the simulation experiments.
this paper presents a new concept of modeling of LTI SISO discrete-time fractional-order systems, in which the Laguerre filters are employed to model both 1) the Grünwald-Letnikov fractional difference and 2) a d...
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this paper presents a new concept of modeling of LTI SISO discrete-time fractional-order systems, in which the Laguerre filters are employed to model both 1) the Grünwald-Letnikov fractional difference and 2) a dynamics of the LTI SISO fractional-order system. Such a `double-Laguerre' concept yields original accuracy and computational results at both modeling stages, illustrated with a series of simulation examples.
In this paper, the problem of modeling of the energy consumption of a single component of the assembly line is considered. the motivation is shortly presented and the procedure of the initial preprocessing of the meas...
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In this paper, the problem of modeling of the energy consumption of a single component of the assembly line is considered. the motivation is shortly presented and the procedure of the initial preprocessing of the measurement data is described. then, the conventional discrete time auto regressive models are considered and their applicability is compared withthe suggested Representative Vector Method (RVM). this method is based on the storing of the re-sampled data in the shorter representative vector withthe level of compression depending on the assumed modeling accuracy.
this paper presents the concepts of the stereovision system equipped with only one camera with adaptation allowing to obtain full stereo picture for acquirement a digital model of the transport device workspace. Speci...
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this paper presents the concepts of the stereovision system equipped with only one camera with adaptation allowing to obtain full stereo picture for acquirement a digital model of the transport device workspace. Special author's care was focused on the system validation, having regard its specific architecture. the present stereovision system is part of Autonomous Navigation System solutions, dedicated to the overhead travelling cranes. All tests were conducted on the physical model of overhead travelling crane with hosting capability 150kg.
this paper presents a new simple form of a polynomial matrix σ-inverse introduced as a result of research works on minimum variance control (MVC) for LTI MIMO nonsquare systems. A new approach to construction of a σ...
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this paper presents a new simple form of a polynomial matrix σ-inverse introduced as a result of research works on minimum variance control (MVC) for LTI MIMO nonsquare systems. A new approach to construction of a σ-inverse of a nonsquare polynomial matrix can result in e.g. pole-free design of MVC, which is provided by specially selected degrees of freedom of the σ-inverse. A simulation example in the Matlab ® environment illustrates theoretical achievements of the paper.
the paper presents a new approach to derivation of a linear model representing an approximation of dynamic response determined for a model estimated within discrete time identification. the approximation is calculated...
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the paper presents a new approach to derivation of a linear model representing an approximation of dynamic response determined for a model estimated within discrete time identification. the approximation is calculated using with new algorithm, that minimize the approximation error with application a non-quadratic performance index. the used performance index is quite close to the absolute norm of error, but has better convergence features. the recursive formula for derivation of the approximation model coefficients is derived and tested on two different examples of two dynamic processes.
In this contribution we develop a physical model for a non contact, high-precision Lorentz force planar motion stage of linear DC brushless type. We derive physical models of the relevant components and investigate so...
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In this contribution we develop a physical model for a non contact, high-precision Lorentz force planar motion stage of linear DC brushless type. We derive physical models of the relevant components and investigate sources and influences of various parasitic effects and disturbances. For the latter, phenomenological models are developed that capture the behavior observed throughout experiments. the position dependency of the Lorentz forces is reduced by a minimum power commutation. Finally, model characteristics and parameters are identified from experimental test rig data.
the Supervisory Control theory allows the modelbased synthesis of restrictive controllers for Discrete Event Systems. To enable the design of enforcing controllers, the consideration of enforceability is reasonable be...
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the Supervisory Control theory allows the modelbased synthesis of restrictive controllers for Discrete Event Systems. To enable the design of enforcing controllers, the consideration of enforceability is reasonable besides the event property of controllability. therefore, either the formal framework may be extended by admitting an appropriate control law, or the modeling strategy may be adjusted. In this paper, we present four different approaches for the consideration of event enforcement in the context of the Supervisory Control theory, discuss their advantages and disadvantages, and compare them by the application to a simple example.
In the paper an approach to Hammerstein system identification based on quantized low-power observations is presented. In the presented approach realisations of discrete-time multisine random processes are used as the ...
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In the paper an approach to Hammerstein system identification based on quantized low-power observations is presented. In the presented approach realisations of discrete-time multisine random processes are used as the Hammerstein system excitation and the overall Hammerstein system identification problem is decomposed into the linear dynamic control channel subsystem, the corresponding disturbance at linear dynamic control channel subsystem output and input memoryless nonlinearity identification problems. the presented discussion is illustrated by a simulation example showing properties of the presented approach.
this paper deals withthe analysis of dynamic behavior of Timed Event Graphs with Multipliers. these graphs are an extension of weighted T-systems studied in the Petri net literature. the purpose of this analyse is to...
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this paper deals withthe analysis of dynamic behavior of Timed Event Graphs with Multipliers. these graphs are an extension of weighted T-systems studied in the Petri net literature. the purpose of this analyse is to extract the performances of a system by analyzing the dynamic of state associated of each transition of graph. For that, we determine the mathematical model governing the dynamic evolution of this type of graph, in a dioid of formal power series based on operators.
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