This paper presents a new approach to rejection of complex-valued sinusoidal disturbances acting at the output of a discrete-time linear stable plant with unknown and possibly time-varying dynamics. It is assumed that...
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Non-linear hydraulic plants are widely used in industrial reality. However, their dynamical features make them still challenge for commonly used PI controller. This paper presents sophisticated method of control of th...
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ISBN:
(纸本)9789604741939
Non-linear hydraulic plants are widely used in industrial reality. However, their dynamical features make them still challenge for commonly used PI controller. This paper presents sophisticated method of control of the non-linear MIMO plant. Presented method based on adaptive predictive controller with decoupling mechanism that can be implemented in the PLC or in the industrial PC.
作者:
Cisowski, KrzysztofFaculty of Electronics
Telecommunications and Computer Science Department of Automatic Control Gdańsk University of Technology Narutowicza 11/12 Gdańsk Poland
The paper presents a laboratory system for testing active control algorithms of acoustics noise in ducts. An applied algorithm - self-optimizing narrowband interference canceller (SONIC), allows one to remove narrowba...
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The proposed method is designed for a data acquisition system acquiring data from n independent sources. The data sources are supposed to produce fragments that together constitute some logical wholeness. These fragme...
The proposed method is designed for a data acquisition system acquiring data from n independent sources. The data sources are supposed to produce fragments that together constitute some logical wholeness. These fragments are produced with the same frequency and in the same sequence. The discussed algorithm aims to balance the data dynamically between m logically autonomous processing units (consisting of computing nodes) in case of variation in their processing power which could be caused by some faults like failing computing nodes, or broken network connections. As a case study we consider the Data Acquisition System of the Compact Muon Solenoid Experiment at CERN's new Large Hadron Collider. The system acquires data from about 500 sources and combines them into full events. Each data source is expected to deliver event fragments of an average size of 2 kB with 100 kHz frequency. In this paper we present the results of applying proposed load metric and load communication pattern. Moreover, we discuss their impact on the algorithm's overall efficiency and scalability, as well as on fault tolerance of the whole system. We also propose a general concept of an algorithm that allows for choosing the destination processing unit in all source nodes asynchronously and asserts that all fragments of same logical data always go to same unit.
In the paper is presented the brief history of research conducted in Poland (at AGH University) in the area of image processing, analysis and recognition. The history is connected with changes of the technology used f...
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This paper analyzes the generalized predictive control law under constraints on the input, output or other auxiliary signals that depend linearly on the system variables. These constraints are formulated as sets of li...
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This paper analyzes the generalized predictive control law under constraints on the input, output or other auxiliary signals that depend linearly on the system variables. These constraints are formulated as sets of linear equalities or inequalities;the control sequence is therefore elaborated based on parametric optimization problem. The feasibility issues are related on one hand to the wellposedness condition and on the other hand to the compatibility with the set-point constraints. The prediction of the feasibility is of great interest from this point of view and necessary feasibility conditions are presented.
The paper aims to present a comparative study related to different approaches regarding prediction of multi-variable physical data. Data are provided by natural phenomena with geographical distribution (especially eco...
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The paper aims to present a comparative study related to different approaches regarding prediction of multi-variable physical data. Data are provided by natural phenomena with geographical distribution (especially ecological and meteorological) and are stored as blocks of time series. Simulations have shown that the prediction accuracy of data increased with their correlation. Three modeling approaches of data are considered: MIMO-ARMA type, a state representation of Kalman-Bucy type and MIMO-ARMAX type. The performance of modeling and prediction algorithms is demonstrated on a meteorological case study.
Current advances in information technology and electronics allowed the passage from the classic centralized control approach to a fully decentralized control approach. In this context the paper proposes a new control ...
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Current advances in information technology and electronics allowed the passage from the classic centralized control approach to a fully decentralized control approach. In this context the paper proposes a new control concept in which the commands from a superior control levels are sent as recommendations and low level entities communicate between them in order to solve and optimize the task given as a recommendation. After introducing the control concept, an implementation aiming at production scheduling using a holonic approach is illustrated. The implementation was done on a job shop type production system containing multiple networked workstations.
An important issue in the analysis of two-dimensional electrophoresis images is the detection and quantification of protein spots. The main challenges in the segmentation of 2DGE images are to separate overlapping pro...
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A new methodology for the design of control systems for real time applications is presented. It is proposed to have a first stage of assisted design of nominal systems with simulation based verification of the achieve...
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ISBN:
(纸本)9783902661913
A new methodology for the design of control systems for real time applications is presented. It is proposed to have a first stage of assisted design of nominal systems with simulation based verification of the achieved performances. The control algorithm will then be improved by robustification to reproduce as good as possible the performances obtained in simulation on the real time process. Finally, a supervisor is implemented to optimize the thermo-energetic process and to compute the best choice for the reference signals.
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