Livelong education in electro-mechanical industry is increasingly important as it allows practicing engineers and technicians to gain the knowledge necessary to cope withthe fast development and consequently with hig...
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ISBN:
(纸本)9781467321242
Livelong education in electro-mechanical industry is increasingly important as it allows practicing engineers and technicians to gain the knowledge necessary to cope withthe fast development and consequently with higher demands on their workplaces. this paper addresses different aspects of development and execution of such industrial training. Concrete solutions and results are presented including: (1) extensive international knowledge needs analysis in electro-mechanical sector, (2) e-learning solutions for industry including learning management systems and application of remote working stations/experiments for practical part of the training and (3) examples of the training modules from robotics developed for industry. Applied solutions and education methodology is evaluated by feedback obtained from the training participants. Based on a gained experience a long-term perspective and possible further development direction of modern industrial education is also addressed.
Servocontroller for a class of uncertain linear continuous-time systems with unmeasurable bounded disturbances is presented. the controller can be also used for control of uncertain nonlinear systems.
Servocontroller for a class of uncertain linear continuous-time systems with unmeasurable bounded disturbances is presented. the controller can be also used for control of uncertain nonlinear systems.
the paper presents adaptive neural network based controller of dishwasher. It shows how to prepare input data for training networks and presents the simulation of network performance.
the paper presents adaptive neural network based controller of dishwasher. It shows how to prepare input data for training networks and presents the simulation of network performance.
this paper is focused on the extending Takagi-Sugeno-Kang (TSK) types fuzzy models. the propositions of the models with a fuzzy set-valued function in the consequence part as well as the models withthe fuzzy time ser...
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this paper is focused on the extending Takagi-Sugeno-Kang (TSK) types fuzzy models. the propositions of the models with a fuzzy set-valued function in the consequence part as well as the models withthe fuzzy time series in the consequence part are presented. Also chosen theoretical aspects of the creating knowledge bases and the fuzzy reasoning procedure are presented.
We address the motion planning problem in non-holonomic robotic systems with constraints imposed on configuration and control variables. the imbalanced Jacobian motion planning algorithm is compared withthe optimal c...
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We address the motion planning problem in non-holonomic robotic systems with constraints imposed on configuration and control variables. the imbalanced Jacobian motion planning algorithm is compared withthe optimal control approach. Computer simulations of the unicycle-type mobile robot underlie the comparison.
Constrained minimum variance control is offered for nonsquare LTI MIMO systems. A constrained control design takes advantage of the so-called control zeros. the new control strategy is compared with familiar generaliz...
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Constrained minimum variance control is offered for nonsquare LTI MIMO systems. A constrained control design takes advantage of the so-called control zeros. the new control strategy is compared with familiar generalized minimum variance control and possible application areas of the two are discussed.
the aim of signal decomposition in wavelet bases is to represent a signal as a sequence of wavelet coefficients sets. there is proposed a multistage classification rule using on every stage only one set of the signal ...
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the aim of signal decomposition in wavelet bases is to represent a signal as a sequence of wavelet coefficients sets. there is proposed a multistage classification rule using on every stage only one set of the signal coefficients. the hierarchical construction of wavelet multiresolution analysis was an inspiration for the multistage classification rule. the algorithm makes an optimal decision for every set of coefficients and its main advantage is a smaller dimension of classification problem on every stage.
In this paper a method to speed up a convergence of the Newton algorithm of motion planning for manipulators was presented. the method couples one dimensional optimization (with respect to a coefficient influencing th...
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In this paper a method to speed up a convergence of the Newton algorithm of motion planning for manipulators was presented. the method couples one dimensional optimization (with respect to a coefficient influencing the convergence property of the algorithm) with a virtual goal replacing a real goal of the planning. the first modification of the basic Newton algorithm can be used for any taskspace while the second one works only for low dimensional (not greater than 3) taskspaces. An algorithm based on the method was provided and its efficiency was illustrated on a planar double pendulum manipulator.
In this paper a method of designing the rule bases of fuzzy controllers for Wheel Slide Protection Systems (WSP) for rail vehicles is presented. In this method results of simulation of two reference controllers are us...
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In this paper a method of designing the rule bases of fuzzy controllers for Wheel Slide Protection Systems (WSP) for rail vehicles is presented. In this method results of simulation of two reference controllers are used, both of which use signals which are nor available during normal operation of the systems, i.e. adhesion coefficient and translation velocity of the vehicle. Simulations have performed on a simulation model of a braked rail vehicle and controllers implemented in Matlab Simulink ® . the proposed method makes possible automatization of the design process of WSP fuzzy controllers.
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