作者:
Vukic, Z.Velagic, J.University of Zagreb
Faculty of Electrical Engineering and Computing Department of Control and Computer Engineering in Automation Unska 3 ZagrebHR-10000 Croatia University of Sarajevo
Faculty of Electrical Engineering Skenderija 70 SarajevoBH-71000 Bosnia and Herzegovina
In this paper a comparative analysis of Mamdani and Sugeno type fuzzy autopilots for ships is given. Both autopilots have two inputs: the heading signal and the yaw rate signal, and only one output: command rudder ang...
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Truly autonomous vehicles will require both projective planning and reactive components in order to perform robustly. Projective components are needed for long term planning and re-planning where explicit reasoning ab...
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An adaptive control of multiple compliant manipulation in dynamical environment is synthesized. The control system is designed for: 1) when there is no good understanding of all physical effects incorporated in the mu...
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An adaptive control of multiple compliant manipulation in dynamical environment is synthesized. The control system is designed for: 1) when there is no good understanding of all physical effects incorporated in the multiple robots/object/environment system; 2) when the parameters of the system are not precisely known; and 3) when the system parameters do vary in a known regions about their nominal values. The proposed adaptive control law has the inverse dynamics controller structure and is composed of both an identification part and a control part. The simulation results verify the proposed approach to coordinated adaptive control of multiple robot manipulators in constrained motion tasks.
This paper describes the results of the working group investigating the issues of empirical studies for evolving systems. The groups found that there were many issues that were central to successful evolution and this...
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This paper describes the results of the working group investigating the issues of empirical studies for evolving systems. The groups found that there were many issues that were central to successful evolution and this concluded that this is a very important area within software engineering. Finally nine main areas were selected for consideration. For each of these areas the central issues were identified as well as success factors. In some cases success stories were also described and the critical factors accounting for the success analyzed. In some cases it was later found that a number of areas were so tightly coupled that it was important to discuss them together.
Friction appears in the bearings and reduction gear of controlled electrical drives and affects the quality of the position, speed or force control. The servosystem performance can be improved by implementation of acc...
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Friction appears in the bearings and reduction gear of controlled electrical drives and affects the quality of the position, speed or force control. The servosystem performance can be improved by implementation of acceleration feedback. For the reason that acceleration measurement is often either not possible or practical, the implementation of acceleration estimation by an observer or differentiation of speed is proposed. Another approach to friction influence compensation is based on the disturbance observer. Its advantage is that it can be applied generally to the estimation of various disturbances. This paper deals with these friction compensation methods which are not based on friction model, but on the compensation of friction as a disturbance. The efficiency of these methods in a servodrive with Stribeck friction is compared by computer simulation and experimentally on a servosystem laboratory model.
Genetic programming has rarely been applied to manufacturing optimisation problems. In this report we investigate the potential use of genetic programming for the solution of the one-machine total tardiness problem. C...
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Truly autonomous vehicles will require both projective planning and reactive components in order to perform robustly. Projective components are needed for long term planning and re-planning where explicit reasoning ab...
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Truly autonomous vehicles will require both projective planning and reactive components in order to perform robustly. Projective components are needed for long term planning and re-planning where explicit reasoning about future states is required. Reactive components allow the system to always have some action available in real time, and themselves can exhibit robust behaviour, but lack the ability to explicitly reason about future states over a long time period. The paper emphasises creating the projective component but also offer a simple solution for reactive component. A genetic algorithm implements the projective component, which designs automatically a fuzzy logic controller by modifying the position of controller membership functions and the commands given to the robot. For the reactive component, a simple solution was adopted so that if the robot sensors detect new obstacles, the robot will try to move to a previous position.
This paper describes B-spline interpolation and compares it with other reconstruction methods, especially in three-dimensional space. We first consider the B-spline bases in the terms of convolution in signal processi...
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This paper describes B-spline interpolation and compares it with other reconstruction methods, especially in three-dimensional space. We first consider the B-spline bases in the terms of convolution in signal processing. The presented analysis requires careful usage of continuous and discrete representation of B-spline. Emphasis is given to the important difference between B-spline interpolation and approximation. The difference is shown through frequency domain analysis, so we derive frequency responses of the B-spline interpolation and approximation. We conclude by demonstrating the use of several reconstruction filters and appropriate gradient estimators in volume rendering. Exact reconstruction in volume visualization is very important in many industrial applications, such as material cavity control.
Genetic programming has rarely been applied to manufacturing optimisation problems. In this report we investigate the potential use of genetic programming for the solution of the one-machine total tardiness problem. C...
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Genetic programming has rarely been applied to manufacturing optimisation problems. In this report we investigate the potential use of genetic programming for the solution of the one-machine total tardiness problem. Combinations of dispatching rules are employed as an indirect way of representing permutations within a modified genetic programming framework. Hybridisation of genetic programming with local search techniques is also introduced, in an attempt to improve the quality of solutions. All the algorithms are tested on a large number of benchmark problems with different levels of tardiness and tightness of due dates.
The volume data is generally in the form of the large array of numbers. In order to render the object hidden in the volumetric data, we need to reconstruct or interpolate data values between the samples. The novelty p...
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The volume data is generally in the form of the large array of numbers. In order to render the object hidden in the volumetric data, we need to reconstruct or interpolate data values between the samples. The novelty presented in this paper is B-spline interpolation in the volumetric space. We show that this approach is better than currently used methods. We also present a hybrid approach, analyze this approach in frequency domain and compare it to B-spline interpolation. To enhance the quality during the volume visualization process it is important to enhance the quality of the reconstruction. It is of crucial importance to explore different undesired effects. If better reconstruction is performed the more accurate result of volume visualization process is achieved.
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