We employ set oriented methods in combination with graph partitioning algorithms to identify key dynamical regions in the Sun-Jupiter-particle three-body system. Transport rates from a region near the 3∶2 Hilda reson...
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We employ set oriented methods in combination with graph partitioning algorithms to identify key dynamical regions in the Sun-Jupiter-particle three-body system. Transport rates from a region near the 3∶2 Hilda resonance into the realm of orbits crossing Mars’ orbit are computed. In contrast to common numerical approaches, our technique does not depend on single long term simulations of the underlying model. Thus, our statistical results are particularly reliable since they are not affected by a dynamical behavior which is almost nonergodic (i.e., dominated by strongly almost invariant sets).
In this article we are interested in design of a new simple rule-based method of MRAC parameters adaptation aiming to minimize the unmodelled dynamics influence. Firstly, we introduce some recent studies solving the p...
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Direct adaptive control algorithms using state variables in control structure are known for their good adaptation capability and tracking performances that result from the fact that they use plant state variables in c...
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Fuzzy control has revealed as a practical alternative to several conventional control schemes since it has shown good results in some application areas. However, there are several drawbacks of this approach: (i) the d...
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This paper investigates novel sequential learning methods applied on a decomposed form of training algorithms using Radial Basis Function (RBF) network. The dynamic expansion of RBF network by adding neurons to the hi...
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This paper gives a short description of selected technical problems and their solutions in development of a marker locator. The principle of underground engineering network equipment marking by markers and principle o...
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This paper gives a short description of selected technical problems and their solutions in development of a marker locator. The principle of underground engineering network equipment marking by markers and principle of marker location Is explained. Next, mathematical analysis of signal intensity received from an excited marker and Its dependence on distance is described. Moreover, Influence of over current Induced by lightning Into a marker is analyzed and practically measured. These facts were used to increase reliability and lifetime of markers.
We present the Unified Modeling Language (UML) and show how it can be applied to development of a new railway interlocking and signalling system. Using a simplified example of an interlocking system, we demonstrate pr...
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In this article we are interested in design of a new simple rule-based method of MRAC parameters adaptation aiming to minimize the unmodelled dynamics influence. Firstly, we introduce some recent studies solving the p...
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In this article we are interested in design of a new simple rule-based method of MRAC parameters adaptation aiming to minimize the unmodelled dynamics influence. Firstly, we introduce some recent studies solving the problem of using an adaptive system to control a system with unmodelled dynamic. Secondly, the new method of parameters adaptation based on abs ( sgn ( e ) + sgn ( d 2 dt 2 e ) ) signal is discussed. The proposed method seems to set the controller parameters so as to ensure the closed loop aperiodic response.
Fuzzy control has revealed as a practical alternative to several conventional control schemes since it has shown good results in some application areas. However, there are several drawbacks of this approach: (i) the d...
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Fuzzy control has revealed as a practical alternative to several conventional control schemes since it has shown good results in some application areas. However, there are several drawbacks of this approach: (i) the design of fuzzy controllers is usually performed in an ad hoc manner where it is often difficult to choose some of the controller parameters (e.g., the membership functions), and (ii) the fuzzy controller constructed for the nominal plant may later perform inadequately if significant and unpredictable plant parameter variations occur. A “learning system” possesses the capability to improve its performance over time by interacting with its environment. A learning control system is designed so that its “learning controller” has the ability to improve the performance of the closed-loop system by generating command inputs to the plant and utilizing feedback information from the plant. Learning controllers are often designed to mimic the manner in which a human in the control loop would learn how to control a system while it operates. Some characteristics of this human learning process my include: (i) after learning how to control the plant for some operating condition, if the operating conditions change, then the best way to control the system may have to be relearned; (ii) a human with significant amount of experience at controlling the system in one operating region should not forget this experience if the operating condition changes. To mimic these types of human learning behavior, we introduce strategy that can be used to learning controller onto the current operating region of the system.
The paper presents the conception of a soft control structure based on the time-optimal approach. Its parameters are selected in accordance with the rules of the statistical decision theory and additionally it allows ...
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The paper presents the conception of a soft control structure based on the time-optimal approach. Its parameters are selected in accordance with the rules of the statistical decision theory and additionally it allows the elimination of rapid changes in control values. The object is a basic mechanical system, with uncertain (also non-stationary) mass treated as a stochastic process. The methodology proposed here is of a universal nature and may easily be applied with respect to other uncertainty elements of time-optimal controlled mechanical systems.
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