The paper proposes a new learning method for fuzzy cognitive maps, which makes it possible to encode an attractor into the map. The method is based on the principle of backpropagation through time known from the theor...
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ISBN:
(纸本)9781629934884
The paper proposes a new learning method for fuzzy cognitive maps, which makes it possible to encode an attractor into the map. The method is based on the principle of backpropagation through time known from the theory of artificial neural networks. Simulation results are presented to show how well the method performs. It is shown that the results are superior to those achieved using Hebbian learning approaches such as nonlinear Hebbian learning. Some lines for possible future research and development are given.
Autonomous ground vehicles operating in the field are likely to be faced with several mobility challenges such as piles of rubble, water crossings, steep hills, mud, and stiff vegetation patches. These scenarios are p...
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Human-Robot physical interaction is an important attribute for robots operating in human environments. A Ballbot is an under-actuated system with nonholonomic dynamic constraints. It is a skinny robot with a small bas...
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Due to redundancy and natural instability of humanoid robots, their motion planning becomes a challenging task. Designing stable gaits with smooth trajectories for a humanoid robot is the main goal of this article. Ta...
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In the recent years haptic interfaces became a reliable solution in order to solve problems which arise when humans interact with the environment. If in the research area of the haptic interaction between human and en...
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In the recent years haptic interfaces became a reliable solution in order to solve problems which arise when humans interact with the environment. If in the research area of the haptic interaction between human and environment there are important researches, a innovative approach for the interaction between the robot and the environment using haptic interfaces and virtual projection method is presented in this paper. In order to control this interaction we used the Virtual Projection Method where haptic control interfaces of impedance and admittance will be embedded. The obtained results, validated by simulations assure stability, stiffness, high maneuverability and adaptability for rescue walking robots in order to move in disaster, dangerous and hazardous areas.
In this paper the problem of discrete state estimation for a class of switched LPV systems is addressed. Identification techniques are applied to realize an approximate identification of the switched LPV system parame...
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ISBN:
(纸本)9781479932757
In this paper the problem of discrete state estimation for a class of switched LPV systems is addressed. Identification techniques are applied to realize an approximate identification of the switched LPV system parameters with certain uncertainties, disturbances and/or noise. The discrete state estimation is realized by means of the parameter identification. The efficiency of the proposed method is illustrated by simulations.
In this paper we describe numerical model and designed construction of the EML consisting of 10 coils with a moving ferromagnetic core inside. Friction coefficients were introduced into the system equations and next w...
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In this paper we describe numerical model and designed construction of the EML consisting of 10 coils with a moving ferromagnetic core inside. Friction coefficients were introduced into the system equations and next we proposed an algorithm which enabled us to fit the numerical model to the constructed device. In the paper we present comparison of the signals from computer simulations and measurements which were taken during laboratory and field trials.
In this paper experimental results of testing slip-based traction control system (TCS) with an on-line road condition estimation are presented. TCS is designed for a car with in-wheel electric motors, so that estimati...
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ISBN:
(纸本)9781479909964
In this paper experimental results of testing slip-based traction control system (TCS) with an on-line road condition estimation are presented. TCS is designed for a car with in-wheel electric motors, so that estimation and control are implemented independently for each wheel thus enabling the optimal friction coefficient for every wheel, even if they are on different surfaces or have different tire characteristics. A road condition is approximated using a function which is estimated in the real-time and used as the input to the TCS. The design of the presented TCS is based on the wheel slip ratio, controlled to it's optimal value by a PI controller and with the addition of a feedforward branch for the transition response speed up. System is tested on a newly developed experimental setup consisting of the wheel with embedded (in-wheel) motor rolling on the metal drum loaded by the second motor simulating car behaviour.
A Intelligent Cane Robot(iCane) has been proposed to assist the elderly walking in daily life. As a nursing-care robot, the safety and dependability are the most important issues that should be investigated. For preve...
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