A series of experiments aimed to generate and learn fuzzy models for the valuation of residential premises was conducted using the KEEL tool (Knowledge Extraction based on Evolutionary Learning). Four regression and f...
详细信息
In this paper, we show that the tracking performance of a hard disk drive actuator can be improved by using two adaptive neural networks, each of which is tailored for a specific task. The first neural network utilize...
详细信息
ISBN:
(纸本)9781424431236
In this paper, we show that the tracking performance of a hard disk drive actuator can be improved by using two adaptive neural networks, each of which is tailored for a specific task. The first neural network utilizes accelerometer signal to detect external vibrations, and compensates for its effect on hard disk drive position via feedforward action. In particular, no information on the plant, sensor and disturbance dynamics is needed in the design of this neural network disturbance compensator. The second neural network, designed to compensate for the pivot friction, uses a signum activation function to introduce nonlinearities inherent to pivot friction, thus reducing the neural network¿s burden of expectation. The stability of the proposed scheme is analyzed by the Lyapunov criterion. Simulation results show that the tracking performance of the hard disk drives can be improved significantly with the use of both neural networks compared to the case without compensation, or when only one of the networks is activated.
A series of experiments aimed to generate and learn fuzzy models for the valuation of residential premises was conducted using the KEEL tool (knowledge extraction based on evolutionary learning). Four regression and f...
详细信息
A series of experiments aimed to generate and learn fuzzy models for the valuation of residential premises was conducted using the KEEL tool (knowledge extraction based on evolutionary learning). Four regression and four post-processing algorithms were applied to several data sets. They referred to sales/purchase transactions of residential premises, which were derived from the cadastral system and the registry of real estate transactions. The results proved the usefulness of the tool to carry out laborious and tedious investigation in a relatively short time. Further research is needed to determine to what extent data coming from such sources allow to build the real estate valuation models.
This paper juxtaposes performance of the grammar-based classifier system (GCS) with tabular representation algorithm (TBL) on the task of inducing context-free grammars from partially structured examples. In both case...
详细信息
Using control theoretic concepts we present a definitional procedure of extended Jacobian inverse kinematics algorithms for mobile robots. As a point of departure we assume a representation of the mobile robot kinemat...
详细信息
We address the problem of performance evaluation of mobile manipulators. It seems that this area has not been explored systematically in the literature;a list of representative references includes [6, 2, 7, 8, 1, 3]. ...
In the paper a new control algorithm preserving a path following for special class of mobile manipulators, namely for nonholonomic mobile manipulators, is presented. The mobile manipulator is a robotic system consisti...
详细信息
A modified version of the nonparametric identification algorithm for nonlinearity recovering in Hammerstein system under existence of random noise is proposed. The assumptions imposed on unknown characteristic are wea...
详细信息
ISBN:
(纸本)9788096956265
A modified version of the nonparametric identification algorithm for nonlinearity recovering in Hammerstein system under existence of random noise is proposed. The assumptions imposed on unknown characteristic are weak. The algorithm is based on the idea of kernel regression estimation. The method proposed in the paper is more general and provides more accurate results in comparison to the classical nonparametric estimates, particularly for moderate number of measurements. The convergence in probability is proved for each continuity point of the unknown characteristic and the question of the convergence rate is discussed. Sample illustrative results of experiments are included.
暂无评论