In this paper by using a controller based on a neural network and an estimator, an efficient method in A/F ratio for SI engines is presented. This combined method improves plant performance effectively and provides ro...
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In this paper by using a controller based on a neural network and an estimator, an efficient method in A/F ratio for SI engines is presented. This combined method improves plant performance effectively and provides robustness against disturbances due to work point changing. It is shown that by combining two separate methods, a useful control strategy may be generated. Simulation results reveal the superiority of this method.
An object-oriented implementation of a program simulator for a multi-agent system (MAS) is described. The model of a MAS is hierarchical model, consisting of different levels, where each level contains clusters of age...
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An object-oriented implementation of a program simulator for a multi-agent system (MAS) is described. The model of a MAS is hierarchical model, consisting of different levels, where each level contains clusters of agents. A paradigm of a blackboard is used for communication among agents, clusters, as well as levels. The Petri Nets with Time Tokens are used as a basic concept for this model. An example of the use of the object-oriented simulator in a dynamic scene analysis is given.
Traditional approaches to controller designs that guarantee fast compensation of load torque and reference variations result in design iterations and most of the time in poorer response for load torque variations. In ...
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Traditional approaches to controller designs that guarantee fast compensation of load torque and reference variations result in design iterations and most of the time in poorer response for load torque variations. In this paper a reference model for desired drive behavior generation and optimization methods has been applied to achieve controller integral time constant lower than the maximum time constant of the PM brushless DC motor drive. Presented simulation results show that using reference model for desired drive behavior generation, it is possible to determine optimal controller parameters for faster (10 time) and better (2 time) load torque compensation than in the case of traditional design of speed controller parameters. Response due to reference input with constrained overshoot has been achieved using a filter in the servosystem input. Thereby, the proposed method demonstrates the design of a speed controller that is optimal for both load torque and reference variations and its verification with simulation are accomplished for a permanent magnet brushless dc motor drive.
Valuable medical information can be achieved by analysing shape and appearance of human chromosomes. Karyotype, an image of collection of all 23 pairs of human chromosomes, is usually used for this purpose. Making a K...
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Valuable medical information can be achieved by analysing shape and appearance of human chromosomes. Karyotype, an image of collection of all 23 pairs of human chromosomes, is usually used for this purpose. Making a Karyotype is hard and time consuming, encouraging experts in the image processing and machine vision field to work towards an automatic Karyotyping method. The first step in automation of this process is to define the geometric (morphologic) and intensity based features of the chromosome originating mostly from its banding pattern. As part of a complete project, which is defined to develop a new knowledge based classification technique for chromosomes, a number of new features in addition to the commonly used geometric and intensity based features, are introduced in this paper. Some of the features are computed using the so-called medial axis transform (MAT). For an accurate determination of most of these features it is necessary, however, to identify some key points or landmarks in the image (mostly over the MAT). This paper describes novel algorithms developed to locate such landmarks as centromere, end points of chromosome and two points defined as branching points on the chromosome axis. The algorithms have been tested on the real images supplied by the cytogenetic laboratory of Cancer Institute, University of Tehran. The automatically defined positions of the landmarks have been compared to those manually identified by an expert. In most of the cases the results were in complete agreement.
This work presents a model and methodology used for the development of a distributed control system based on industrial network CAN. The main aim of work is to create a model of a distributed control system, especiall...
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This work presents a model and methodology used for the development of a distributed control system based on industrial network CAN. The main aim of work is to create a model of a distributed control system, especially the part which is related to communication on an industrial bus. The model serves as a basis for analysis of the desired control system and also its realisation.
In this paper a non-linear fuzzy autopilot for ship track-keeping is presented. The proposed autopilot has four inputs (actual and desired heading, rate of change of heading and offset from the desired path) and one o...
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In this paper a non-linear fuzzy autopilot for ship track-keeping is presented. The proposed autopilot has four inputs (actual and desired heading, rate of change of heading and offset from the desired path) and one output (command rudder angle). The track-keeping problem is decomposed into two subtasks: (i) followthe desired heading, and (ii) bring the ship onto the desired path and keep tracking. Internally, the autopilot consists of two autopilots that fulfil these tasks simultaneously. The proposed control scheme has been verified using a non-linear model of a Mariner-class vessel and steering mechanism under the influence of wave and current disturbances. Results presented show how such a control strategy enables improved tracking performance.
New developments in computer networks and communications provide new possibilities for control purposes. control systems for highly complex plants are themselves very complex and heterogeneous. A new software infrastr...
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New developments in computer networks and communications provide new possibilities for control purposes. control systems for highly complex plants are themselves very complex and heterogeneous. A new software infrastructure is needed that exploits these new emerging software technologies. An essential activity to be pursued is that of education and of including new technology in control education. The aim of this paper is to describe some of our activities and experiences in teaching of information techniques and technologies included in open control platforms of complex control systems.
This contribution is dealing with the problems of distributed systems for the building control. The universal system for building automation being developed in department of Measurement and control, VSB-TU Ostrava is ...
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This contribution is dealing with the problems of distributed systems for the building control. The universal system for building automation being developed in department of Measurement and control, VSB-TU Ostrava is described here. The system makes use of the communication network Lonworks and serves for control and mutual interconnection of the building technical equipment. In the frrst part of the contribution the technologies used in the building control sphere are decribed. In the second part the system being developed and laboratory model, on which the system is applied, are described.
This paper presents a technique for the online adaptive weighted fusion algorithm for multi-sensor tracking. A suitable method for estimating measurement noise variance is developed, and the formulas of fuzzy logic-ba...
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This paper presents a technique for the online adaptive weighted fusion algorithm for multi-sensor tracking. A suitable method for estimating measurement noise variance is developed, and the formulas of fuzzy logic-based fusion and parallel adaptive tracking are derived. The algorithm consists of three steps: (i) estimation of the sensor's measurement noise variance using the statistical theory; (ii) adjustment of the fused sensor's weight coefficient according to the sensor's noise variance change; (iii) prediction of the target position using the "current" statistical model and Kalman filter method. The algorithm is able to adapt itself to the changes of sensor's noise, and its estimation error is of least mean square. computer simulation results are presented to demonstrate the robust performance of this algorithm.
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