The paper considers a set-membership joint estimation of variables and parameters in complex dynamic networks based on parametric uncertain models and limited hard measurements. The recursive estimation algorithm with...
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The paper considers a set-membership joint estimation of variables and parameters in complex dynamic networks based on parametric uncertain models and limited hard measurements. The recursive estimation algorithm with moving measurement window is derived that is suitable for on line network monitoring. The window allows stabilising the classic recursive estimation algorithm and significantly improves the estimate tightness. The estimator is validated on a case study water distribution network. Tight set estimates of unmeasured pipe flows, nodal heads and pipe resistances are obtained.
In this paper, a novel wireless load-sharing controller for parallel connected UPS inverters is proposed. As opposed to the conventional droop method, the proposed method achieves stable steady-state frequency and amp...
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In this paper, the design of a fault detection filter for nonlinear systems is presented. The nonlinear system is represented as a sequence of linear time-varying approximations and at each linear approximation the de...
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In this paper, the design of a fault detection filter for nonlinear systems is presented. The nonlinear system is represented as a sequence of linear time-varying approximations and at each linear approximation the design of an optimal stochastic fault detection filter for linear time-varying systems is applied. The final residual is primarily affected by a target fault and minimally by nuisance faults.
Iterative learning control (ILC) is a powerful control concept that iteratively improves the behavior of processes that are repetitive in nature and cross-coupled control (CCC) has been developed to effectively reduce...
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Iterative learning control (ILC) is a powerful control concept that iteratively improves the behavior of processes that are repetitive in nature and cross-coupled control (CCC) has been developed to effectively reduce the contouring error. This paper proposes an integrated controller which combines ILC and CCC to achieve a better performance. In the presented preliminary simulation study, smaller contour error and tracking error can be achieved and moreover, contouring error is less oscillatory because CCC suppresses the inter-axis mismatch "cross error".
In this paper a novel approach to the impulsive noise removal in color images is presented. The proposed technique employs the switching scheme based on the impulse detection mechanism using the so called peer group c...
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In this paper a novel approach to the impulsive noise removal in color images is presented. The proposed technique employs the switching scheme based on the impulse detection mechanism using the so called peer group concept. Compared to the vector median filter, the proposed technique consistently yields better results in suppressing both the random-valued and fixed-valued impulsive noise. The main advantage of the proposed noise detection framework is its enormous computational speed, which enables efficient filtering of large images in real-time applications.
Mobile robots are integrated into a search and rescue team as tools for searching victims in dangerous areas that is harmful for human, as to provide the perception data for map building, and as to follow the human en...
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Mobile robots are integrated into a search and rescue team as tools for searching victims in dangerous areas that is harmful for human, as to provide the perception data for map building, and as to follow the human entity during the mission. The teleoperated control and the autonomous path following is implemented on the robots for the semiautonomous navigation in the simulated firing scenario. This work focuses on the robot entities in the PeLoTe project (building presence through localization for hybrid telematic teams). The architecture of the software integration for mobile robots into the PeLoTe system and the experimental results are presented.
Repetitive processes are a distinct class of two-dimensional systems (i.e. information propagates in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct...
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Repetitive processes are a distinct class of two-dimensional systems (i.e. information propagates in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed 1D in the associated literature) or two-dimensional (2D) systems theory. Most of the currently available results for them focus on fundamental properties such as stability, controllability etc. Recently, however, there has been a move (prompted by the progress in this earlier research) towards the development of a control theory, and associated design algorithms, for the subclasses of so-called differential and discrete linear repetitive processes which arise in applications such as iterative learning control. In this paper we continue this theme by investigating the role of proportional plus integral action in the differential case.
The paper addresses control design for an aeration system within a hierarchical structure for an integrated control of dissolved oxygen in the activated sludge processes. In the paper the hybrid predictive controller ...
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The paper addresses control design for an aeration system within a hierarchical structure for an integrated control of dissolved oxygen in the activated sludge processes. In the paper the hybrid predictive controller for the lower control level is developed and its performance is investigated based on real data records.
The full-bridge converter with current-doublet synchronous rectifier (FB-CDSR) is a promising topology to implement low-voltage high-current power supplies. This paper proposes a novel control for this converter, whic...
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The full-bridge converter with current-doublet synchronous rectifier (FB-CDSR) is a promising topology to implement low-voltage high-current power supplies. This paper proposes a novel control for this converter, which provides the following features: fast transient response, fixed switching frequency, and high robustness against large-signal disturbances in the input-voltage and the load-current. Furthermore, this controller avoids the use of any current sensor and can be implemented by means of cheap analog circuits, which highlights its low-cost and simplicity. The parallel operation of several HB-CDSR is also discussed Finally, experimental results are provided in order to show the validity of the proposed control technique
In this paper, using the fuzzy theory and gray theory, a concept of the degree of fuzzy infection and a new reliability analysis method based on the relation of fuzzy infection were proposed, and the mathematical mode...
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In this paper, using the fuzzy theory and gray theory, a concept of the degree of fuzzy infection and a new reliability analysis method based on the relation of fuzzy infection were proposed, and the mathematical mode of series connection and parallel connection system was first set up and their rationalities were proven. An illustrational example was given to demonstrate the effectiveness of this theory.
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