this paper proposes a recursive algorithm for the state estimation of a linear stochastic state space model. A model with discrete-time inputs, outputs and states is considered. the model matrices are supposed to be k...
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In the well-known electromechanical analogy that converts between electrical and mechanical system representations, mass is the dual of a grounded capacitor. Consequently, any electrical circuit that contains unground...
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In the well-known electromechanical analogy that converts between electrical and mechanical system representations, mass is the dual of a grounded capacitor. Consequently, any electrical circuit that contains ungrounded capacitors, such as a filter, does not have a mechanical equivalent. A new mechanical system element representing a pulley-based differential transmission is proposed, which, when connected to a mass, is shown to simulate a capacitor in the general case. this new differential mass model provides an additional conceptual framework to model complex mechanical systems such as robotic manipulators.
It is well known that exponential Riesz bases are stable. the celebrated theorem by Kadec shows that 1/4 is a stability bound for the exponential basis on L-2(-pi, pi). In this paper we prove that alpha/pi (where alph...
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ISBN:
(纸本)9789897581496
It is well known that exponential Riesz bases are stable. the celebrated theorem by Kadec shows that 1/4 is a stability bound for the exponential basis on L-2(-pi, pi). In this paper we prove that alpha/pi (where alpha is the Lamb-Oseen constant) is a stability bound for the sinc basis on L2 (p;p). the difference between the two values alpha/pi = 1/4, is approximate to 0.15, therefore the stability bound for the sinc basis on L-2(-pi, pi) is greater than Kadec's stability bound (i.e. 1/4).
this paper aims at presenting the on-line non-iterative form of Bayesian mixture estimation. the model used is composed of a set of sub-models (components) and an estimated pointer variable that currently indicates th...
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ISBN:
(纸本)9789897585227
this paper aims at presenting the on-line non-iterative form of Bayesian mixture estimation. the model used is composed of a set of sub-models (components) and an estimated pointer variable that currently indicates the active component. the estimation is built on an approximated Bayes rule using weighted measured data. the weights are derived from the so called proximity of measured data entries to individual components. the basis for the generation of the weights are integrated likelihood functions withthe inserted point estimates of the component parameters. One of the main advantages of the presented data analysis method is a possibility of a simple incorporation of the available prior knowledge. Simple examples with a programming code as well as results of experiments with real data are demonstrated. the main goal of this paper is to provide clear description of the Bayesian estimation method based on the approximated likelihood functions, called proximities.
System engineers are facing demanding challenges in terms of complexity and interconnectedness. Current research initiatives like Organic or Autonomic Computing propose to increase the freedom of the system to be deve...
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ISBN:
(纸本)9789898565709
System engineers are facing demanding challenges in terms of complexity and interconnectedness. Current research initiatives like Organic or Autonomic Computing propose to increase the freedom of the system to be developed using concepts like adaptivity and self-organisation. Adaptivity means that for such systems we defer a part of the design process from design time to runtime. therefore, we need a runtime infrastructure which takes care of runtime modifications. this paper presents a meta-design process to develop adaptive systems and parametrise the runtime infrastructure in a unified way. To demonstrate the proposed design process, we applied it to a communication scenario and evaluate the resulting system in a realistic setting.
the paper deals withthe stiffness analysis and stability study of a new type of tensegrity mechanism based on dual-triangle structures, which actuated by adjusting elastic connections between the triangle edges. For ...
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ISBN:
(纸本)9789897584428
the paper deals withthe stiffness analysis and stability study of a new type of tensegrity mechanism based on dual-triangle structures, which actuated by adjusting elastic connections between the triangle edges. For a single segment of such mechanism, the torque-deflection relation was obtained as a function of control inputs and geometric parameters. It was proved that a single section of the mechanism can has either a single or three equilibrium configurations that can be both stable and unstable. Corresponding conditions of stability were found allowing user to choose control inputs ensuring the mechanism controllability, and the obtained results are confirmed by the simulation examples. the structure composed of two segments in serial was also analysed and an equivalent serial structure with non-linear virtual springs in the joints was proposed. It was proved that the stiffness of such structure decreases while the external loading increases, which may lead to the buckling phenomenon.
this position paper aims to support a control technique in the perishables goods supply-chain through a combination of near real-time wireless sensor network (WSN) for environmental monitoring and further data process...
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ISBN:
(纸本)9789897580390
this position paper aims to support a control technique in the perishables goods supply-chain through a combination of near real-time wireless sensor network (WSN) for environmental monitoring and further data processing to predict the shelf life of the product. this approach returns a low cost, versatile and efficient tool that can significantly improve the safety and food certification through the organoleptic qualities control using three different sensors, i.e. temperature, light and humidity. In this article, therefore, the advantages of the proposed technique are explained and a case study is presented to support this approach, as well as an example of processing algorithm for shelf life evaluation.
the paper provides a practical guide on initialization of the recursive mixture-based clustering of non-negative data. For modeling the non-negative data, mixtures of uniform, exponential, gamma and other distribution...
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ISBN:
(纸本)9783030112929;9783030112912
the paper provides a practical guide on initialization of the recursive mixture-based clustering of non-negative data. For modeling the non-negative data, mixtures of uniform, exponential, gamma and other distributions can be used. Initialization is known to be an important task for a start of the mixture estimation algorithm. Within the considered recursive approach, the key point of initialization is a choice of initial statistics of the involved prior distributions. the paper describes several initialization techniques for the mentioned types of components that can be beneficial primarily from a practical point of view.
this paper presents smooth trajectory generation scheme for obstacle avoidance in static and dynamic environment. the smooth trajectory has successive two steps where smooth path is generated firstly and then correspo...
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ISBN:
(纸本)9789897580406
this paper presents smooth trajectory generation scheme for obstacle avoidance in static and dynamic environment. the smooth trajectory has successive two steps where smooth path is generated firstly and then corresponding velocity is planned along the path. Smooth path of continuous curvature is composed by para-metrically adjusted clothoids with proposed algorithm and then the safe velocity planning is carried out in the 4D configuration framework. Two circles are used to completely surround the used nonholonomic car-like vehicle, this permit to check the probable future vehicle's collisions and to have space-time analysis. Some demonstrative simulations show the strong potential of the proposed smooth and flexible methodology for future experimentations with actual vehicles.
the paper addresses a problem of robotic manipulator calibration. the main contributions are in the area of the elastostatic parameters identification. In contrast to other works, the considered approach takes into ac...
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ISBN:
(纸本)9789897580406
the paper addresses a problem of robotic manipulator calibration. the main contributions are in the area of the elastostatic parameters identification. In contrast to other works, the considered approach takes into account elastic properties of both links and joint. Particular attention is paid to generation of the complete and irreducible stiffness model that is suitable for the identification. To solve the problem, physical and algebraic model reduction methods are proposed. they are based on taking into account the physical properties of the manipulator elements and structure of the corresponding observation matrix. the advantages of the developed approach are illustrated by an application example that deals with elastostatic calibration of an industrial robot.
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