The paper deals with a bulk solid pressure observation inside a silo using new developed 3Dimensional (Triaxial) Indicator. New design and conception of the 3D indicator have been developed exclusively for detecting o...
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The paper deals with a bulk solid pressure observation inside a silo using new developed 3Dimensional (Triaxial) Indicator. New design and conception of the 3D indicator have been developed exclusively for detecting of real stresses/pressures inside vessels, bunkers and silos. The unique design of the 3D indicator in cooperation with appropriate used software, and with a silo model is able to assure a clear image to pressure/stress identifications in particulate solid. Moreover, the third dimension is unique and enriches the area of the pressure knowledge. The measurement process incl. the procedure of processing values using the created interactive software environment has been explained in the poster intimately and investigated in a real silo loaded by a poured bulk solid. Real results and outputs of the investigation have been presented and discovered in the paper.
In this paper, a new hybrid impulsive and switching control strategy for chaos synchronization is developed. Using switched Lyapunov functions, several new criteria for exponential stability and asymptotical stability...
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In this paper, a new hybrid impulsive and switching control strategy for chaos synchronization is developed. Using switched Lyapunov functions, several new criteria for exponential stability and asymptotical stability of hybrid impulsive and switching nonlinear systems are established and, particularly, some simple sufficient conditions for driving the synchronization error to zero are proposed. A typical example, the Chua's chaotic circuit, is given for illustrating and visualizing the theoretical results.
In this paper we proposed a fuzzy neural network model which can embody a fuzzy Takagi-Sugeno model and carry out fuzzy inference and support structure of fuzzy rules. The algorithm of model properties improvement con...
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In this paper we proposed a fuzzy neural network model which can embody a fuzzy Takagi-Sugeno model and carry out fuzzy inference and support structure of fuzzy rules. The algorithm of model properties improvement consists of new origin procedures namely input space partition, fuzzy terms number and rule number extending, low-effective fuzzy terms and rules extraction and consequent structure identification. In the proposed fuzzy modeling method we first design a rough initial fuzzy model with complete partition of input variable space (or initial partition based on expert knowledge). Then a fuzzy neural network is constructed based on rough fuzzy model. By learning of the neural network we can tune of embedded initial fuzzy model. Next, the additional identifying procedure is introduced based on additional partition of fuzzy input space to improve the properties of initial fuzzy model and to decrease the model error. In final part of identification some low-effective terms and rules are extracted and final rule based model is formed. To apply the new identifying procedures and to introduce possibilities of variability of their properties some parameters have to be put in. The strategy of such parameter optimization is provided by new advanced genetic algorithm. Criterion and cost function has been selected as global fuzzy-neuro model error. To show the applicability of new method and to make a possibility to real systems modeling, we designed the fuzzy-neural network programme tool FUZNET. There were two case studies performed: the first case study presents the prediction of Mackey-Glass time series with using fuzzy-neural regression model (FNRM) predictor; the second case study presents task of a coke-oven gas cooler modeling.
This paper considers the stability of the fractional-order linear time-invariant systems with interval type uncertainties in both fractional orders and the relevant coefficients. It is an extension of our previous res...
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This paper considers the stability of the fractional-order linear time-invariant systems with interval type uncertainties in both fractional orders and the relevant coefficients. It is an extension of our previous result on the robust stability analysis of the interval type uncertain fractional order LTI systems with crisply known fractional orders. We have proposed a stability check procedure for uncertain LTI systems with interval fractional orders and interval coefficients. The procedure is demonstrated with some simple examples
A systems engineering approach to integrated control and supervision for applications to industrial multi-zone furnaces has been elaborated and tested in a case study of three-zone 25 MW RZS pusher furnace at Skopje S...
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A systems engineering approach to integrated control and supervision for applications to industrial multi-zone furnaces has been elaborated and tested in a case study of three-zone 25 MW RZS pusher furnace at Skopje Steelworks. The integrated control and supervision design is based on combined use of general predictive control optimization of set-points, at the upper level, and steady-state decoupling classical two-term laws, at the lower executive control level. For practical engineering and maintenance reasons, digital implementations are sought within standard computer process control platform.
A systems re-engineering technique to integrated control and supervision for applications to industrial multi-zone furnaces has been elaborated by using known theories on generalized predictive control and nonlinear p...
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A systems re-engineering technique to integrated control and supervision for applications to industrial multi-zone furnaces has been elaborated by using known theories on generalized predictive control and nonlinear programming. This paper presents the derivation of optimizing equations and inequalities. The design is based on the use of general predictive control to provide optimized set-points under the presumption a well designed regulatory control was implemented at the executive level. Digital implementation of control functions are sought within standard computer process control platform for practical engineering and maintenance reasons.
作者:
Brščić, DraženUniversity of Zagreb
Faculty of Electrical Engineering and Computing Department of Control and Computer Engineering in Automation Unska 3 ZagrebHR-10000 Croatia
This paper presents the current work on the development of a tool for remote control of mobile robots. The tool consists of a local controller on the robot side and a user interface for simulation and remote control t...
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This paper is concerned with the application of a heuristic approach in the design of a fault-tolerant control system for ship steering. It proposes an advanced reconfigurable control system (RCS) for ship course chan...
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In this paper, we consider robust regulation of a class of nonlinear systems, via H∞ controller using singular perturbation approach. First, using normal form equations, we eliminate the nonlinear part of the system ...
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This article deals with using operating system Linux, for solution of problems on the field of technological control and measurement. Linux is developed by student Linus Torvalds in cooperation with programmers in the...
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