Monitoring of multidimensional, sophisticated processes still can be a challenge. The paper presents tools to handle such cases, which are based on the Principal Component Analysis with the adaptive enhancement. A nov...
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Monitoring of multidimensional, sophisticated processes still can be a challenge. The paper presents tools to handle such cases, which are based on the Principal Component Analysis with the adaptive enhancement. A novel PCA algorithm is derived with the adaptive supervisor. It is applied to monitoring operation of wastewater treatment plant and tested by simulation based on real data records.
There is a group of problems that require big amount of computing power to solve. computer grids allow building effective computing platforms at relatively low cost. It is expected that algorithms like Genetic Algorit...
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There is a group of problems that require big amount of computing power to solve. computer grids allow building effective computing platforms at relatively low cost. It is expected that algorithms like Genetic Algorithm will perform well on the grid. In this paper, grid implementation of multiobjective distributed genetic algorithm is proposed. A distributed version of the algorithm is based on a modified island algorithm where genetic data exchange is replaced by introduced new Forgetting Island Elitism. The algorithm is applied to booster station allocation in Chojnice water distribution system.
Providing water meeting strict quality conditions is now a number one priority for the water authorities. Water chlorination only at water treatment plants forced the usage of high concentration of disinfectant which ...
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Providing water meeting strict quality conditions is now a number one priority for the water authorities. Water chlorination only at water treatment plants forced the usage of high concentration of disinfectant which resulted in bad taste of water near them and still did not solve the quality issues at the far points of the network. The answer to this problems is booster chlorination - placing booster station throughout the network allowing a significant reduction of chlorine concentration and at the same time ensuring proper water quality in the network. The booster chlorination is highly dependent from the demand scenarios.
Most of industrial processes are nonlinear, not stationary, and dynamical with at least few different time scales in their internal dynamics and hardly measured states. A biological wastewater treatment plant falls in...
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Most of industrial processes are nonlinear, not stationary, and dynamical with at least few different time scales in their internal dynamics and hardly measured states. A biological wastewater treatment plant falls into this category. The paper considers modelling such processes for monitorning and control purposes by using State - Space Wavelet Neural Networks (SSWN). The modelling method is illustrated based on bioreactors of the wastewater treatment plant. The learning algorithms and basis function (multidimensional wavelets) are also proposed. The simulation results based on real data record are presented.
In a previous work we introduced the fuzzy texture spectrum (FTS) as a texture spectrum (TS)-based method wherein, for capturing the ambiguity of texture definitions and texture features variability of real images, un...
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In a previous work we introduced the fuzzy texture spectrum (FTS) as a texture spectrum (TS)-based method wherein, for capturing the ambiguity of texture definitions and texture features variability of real images, unlike the original method the concepts of equal, greater, and smaller grey-levels were considered as fuzzy sets. In this paper both methods are analyzed and compared for robustness evaluation. To compare the FTS and the TS for texture characterization an entropy measure and a similarity-discriminatory criterion are considered for performance and robustness evaluation. Moreover, to make the fuzzy texture spectrum rotations invariant, texture units are grouped into classes.
This paper is devoted to robust adaptive sliding mode control for time-delay systems with mismatched parametric uncertainties. Sufficient conditions for the existence of linear sliding surfaces are given in terms of m...
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This paper is devoted to robust adaptive sliding mode control for time-delay systems with mismatched parametric uncertainties. Sufficient conditions for the existence of linear sliding surfaces are given in terms of matrix inequalities, by which the corresponding adaptive reaching motion controller is also designed
Wireless networked embedded systems are becoming increasingly important in a wide area of technical fields. In this tutorial paper we present recent results on the design of these systems and their use in control appl...
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Wireless networked embedded systems are becoming increasingly important in a wide area of technical fields. In this tutorial paper we present recent results on the design of these systems and their use in control applications, that have been developed within the project Reconfigurable Ubiquitous Networked Embedded Systems (RUNES). RUNES is a European Integrated Project with the aim to control complexity in networked embedded systems by developing robust and scalable middleware systems. New components for control under varying network conditions are discussed for the RUNES architecture. The paper highlights how the complexity of the closed-loop system is increased, due to additional disturbances introduced by the communication system: additional delays, jitter, data rate limitations, packet losses, etc. Experimental work on integration test beds that demonstrates these results is presented, together with motivating links to the RUNES disaster relief tunnel scenario
This paper deals with the problem of robust fault estimation for uncertain time delay Takagi-Sugeno (TS) fuzzy models. The aim of this study is to design a delay dependent fault estimator ensuring a prescribed H infin...
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This paper deals with the problem of robust fault estimation for uncertain time delay Takagi-Sugeno (TS) fuzzy models. The aim of this study is to design a delay dependent fault estimator ensuring a prescribed H infin performance level for the fault estimation error, irrespective of the uncertainties and the time delays. Sufficient conditions for the existence of a robust fault estimator are given in terms of linear matrix inequalities. Membership functions'(MFs) characteristics are incorporated into the fault estimator design to reduce the conservativeness of neglecting these characteristics
Repetitive processes propagate information in two independent directions and are of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either st...
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Repetitive processes propagate information in two independent directions and are of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed ID here) or 2D systems theory. Here we give new results on the design of physically based feedforward/feedback control laws to achieve desired performance and disturbance decoupling in the sense defined in the body of the paper. The new results are for the case when only output (as opposed to state) information is used to activate the control law
This paper presents the basic idea and the mathematical formulation of the delayed feedback control (DFC) methodology. Stability analysis including the well-known odd number limitation of the DFC is reviewed. Some new...
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This paper presents the basic idea and the mathematical formulation of the delayed feedback control (DFC) methodology. Stability analysis including the well-known odd number limitation of the DFC is reviewed. Some new advances in characterization of the limitation of the DFC are presented. Finally, some open problems in this research field are discussed.
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