The paper presents how the design of robot control systems should deal with two fundamental aspects of their functioning: asynchronous arrival of data from the environment and their processing resulting in the require...
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ISBN:
(纸本)9781467355094
The paper presents how the design of robot control systems should deal with two fundamental aspects of their functioning: asynchronous arrival of data from the environment and their processing resulting in the required system behaviour. The behaviour of the system is described by transition functions. However, the definition of those functions must take into account that not all data required for controlling the system are readily available, thus different variants of transition functions taking into account only the currently available data have to be defined. The overall system behaviour is then specified in terms of Petri nets, while the mathematical expression of the transition functions is complemented by the use of data flow diagrams. The paper presents the general design method and exemplifies it on the case of a robot visual servo utilising two cameras: an eye-in-hand and a stand-alone one.
This paper presents an approach to letter-to-sound translation for the Polish language that is a part of a speech recognition system. It describes the process of automatic generation of Polish letter-to-sound (LTS) ru...
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ISBN:
(纸本)9781467356350
This paper presents an approach to letter-to-sound translation for the Polish language that is a part of a speech recognition system. It describes the process of automatic generation of Polish letter-to-sound (LTS) rules. The LTS rules were trained with a Polish phonetic lexicon, that was extracted from the "wictionary" - a Polish on-line dictionary. This lexicon contains 35.826 entries. We examined a novel method for creating the letter-to-phone allowable pairing, that applies the "IBM Model 1" algorithm. Such automatically generated allowed letter-to-sound pairs were compared with a second pairing map, created by an expert. Both allowable pairing maps were used separately to train the Polish LTS rules. The test results verify that our generated pairing map leads to a more compact LTS model than the expert-made one.
Many systems repeat the same operation over and over again on a finite duration. Repetitive processes have this characteristic where repeated sweeps, termed passes, are made over the finite pass length and when each i...
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In this paper a method is presented for learning of spiking neural networks. It is based on perturbation of synaptic conductances. While this approach is known to be model-free, it is also known to be slow, because it...
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In this paper a method is presented for learning of spiking neural networks. It is based on perturbation of synaptic conductances. While this approach is known to be model-free, it is also known to be slow, because it applies improvement direction estimates with large variance. Two ideas are analysed to alleviate this problem: First, learning of many networks at the same time instead of one. Second, autocorrelation of perturbations in time. In the experimental study the method is validated on three learning tasks in which information is conveyed with frequency and spike timing.
Iterative learning control has been developed for systems that repeat the same task over a finite duration with resetting to the starting location once each repetition, or trial, is complete. The novel feature is the ...
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In this paper we address a mining operation problem that is a special case of Quadratic Assignment Problem and which belongs to the class of facility layout problems. The considered problem is static and discrete, but...
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In this paper we address a mining operation problem that is a special case of Quadratic Assignment Problem and which belongs to the class of facility layout problems. The considered problem is static and discrete, but the set of possible locations is larger than the set of *** distinguish multiple types of equal-area facilities (mines, processing and auxiliary facilities). Mines can be placed only on selected locations (deposits of various resources), and the production volume of each type of facility depends on the adjacency of other facilities. We examine two situations: when the number of each type of facility is given, and when only the total number of facilities is specified. The goal is to maximize the production. This problem is multi-objective and we use advanced aggregation operators (OWA/WOWA) to achieve fair solutions. A comparison of results obtained with list-based threshold accepting meta-heuristic and simulated annealing algorithm is presented.
The paper focuses on the problem of design of robotic controllers able to perform complex service tasks. The proposed approach, rooted in the embodied agent concept, enables the definition of both the structure and be...
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The paper focuses on the problem of design of robotic controllers able to perform complex service tasks. The proposed approach, rooted in the embodied agent concept, enables the definition of both the structure and behaviour of the system. The supplementing each other mathematical and graphical notations along with the multi-level decomposition enable the specification of the system in details facilitating its implementation. The approach is validated on a non-trivial task of determination of object convexity. The presented results of experimental verification prove both the correctness of the designed system and the usefulness of the approach.
This paper describes a neural system which helps to make the current investment decisions. Some well known financial indicators usually considered by investors are inputs of the system. The basic problem is to select ...
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This paper describes a neural system which helps to make the current investment decisions. Some well known financial indicators usually considered by investors are inputs of the system. The basic problem is to select appropriately the indicators which would give the best predictor. Two methods are used and compared: the combination method and the correlation method. To analyze the problem daily quotations of companies included in the Warsaw Stock Exchange Index (WIG20) are used.
Recently, the theory of Wave Repetitive Processes has been applied to derive a control for a class of ladder circuits that features wave-like active inter-stage connections [1]. There, the discretization of the circui...
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The aim of the paper is to design a robust actuator fault-tolerant control for a non-linear discrete-time system. Considered system is described by the Linear Parameter-Varying (LPV) model obtained with recurrent neur...
The aim of the paper is to design a robust actuator fault-tolerant control for a non-linear discrete-time system. Considered system is described by the Linear Parameter-Varying (LPV) model obtained with recurrent neural network. The proposed solution starts with a discretetime quasi-LPV system identification using artificial neural network. Subsequently, the robust controller is proposed, which does not take into account actuator saturation level and deals with the previously estimated faults. To check if the compensation problem is feasible, the robust invariant set is employed, which takes into account actuator saturation level. When the current state does not belong to the set, then a predictive control is performed in order to make such set larger. This makes it possible to increase the domain of attraction, which makes the proposed methodology an efficient solution for the fault-tolerant control. The last part of the paper presents an experimental results regarding wind turbines.
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