This paper presents a new method to solve the constrained unit commitment problem by applying ant colony optimization (ACO) based on the diversity control approach. The pheromone updating rule is modified to control t...
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This paper presents a new method to solve the constrained unit commitment problem by applying ant colony optimization (ACO) based on the diversity control approach. The pheromone updating rule is modified to control the diversification by adopting a simple mechanism for random selection in ACO. The proposed method is tested on the 10-unit test system with a scheduling time horizon of 24 hours. The numerical results show an economical saving in the total operating cost when compared to the previous literature results. Moreover, two types of the proposed diversity control technique have the features of easy implementation and a better convergence rate superior to a standard ACO.
This paper discusses the safety assurance, capability features, and user-friendliness of Internet-based telerobotics, in the sense that how these features could be incorporated in order to enhance teleoperator perform...
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This paper discusses the safety assurance, capability features, and user-friendliness of Internet-based telerobotics, in the sense that how these features could be incorporated in order to enhance teleoperator performance. A comprehensive set of safety features are incorporated to the interface to screen and accept only the safe commands from the remote operator while discarding risky commands. A laser pointer is used to help remote operator in perceiving self-location and navigation, whereas orientation control has been completely automated and synchronized to the position commands of the teleoperator. The effectiveness of these features has been demonstrated by playing telerobotic mini-golf.
A sufficient condition is provided under which the optimal controller of a constrained optimization problem can be synthesized by combining an optimal state estimator with an optimal static state feedback. An applicat...
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A sufficient condition is provided under which the optimal controller of a constrained optimization problem can be synthesized by combining an optimal state estimator with an optimal static state feedback. An application of a model predictive controller is considered that involves both input and state constraints in a system that is subject to stochastic disturbances.
The rapid growth of image archives increases the need for efficient and fast tools that can retrieve and search through a large amount of visual data. In this paper, we propose an efficient method of extracting the im...
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The rapid growth of image archives increases the need for efficient and fast tools that can retrieve and search through a large amount of visual data. In this paper, we propose an efficient method of extracting the image color content, which serves as an image digital signature, allowing us to efficiently index and retrieve the content of large, heterogeneous multimedia Internet based databases. We apply the proposed method for the retrieval of images from the WEBMUSEUM Internet database, containing a collection of fine art images and show that the new method of image color representation is robust to image distorsions caused by resizing and compression and can be incorporated into existing retrieval systems which exploit the information on color content in digital images.
In this paper a novel class of filters designed for the removal of impulsive noise in color images is presented. The proposed filter class is based on the nonparametric estimation of the density probability function i...
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In this paper a novel class of filters designed for the removal of impulsive noise in color images is presented. The proposed filter class is based on the nonparametric estimation of the density probability function in a sliding filter window. The obtained results show good noise removal capabilities and excellent structure preserving properties of the new impulsive noise removal technique.
The paper presents formulation and implementation of Weighted Least Squares algorithm with moving measurement window for a grey box model parameters estimation purposes. The grey box of a biological reactor dynamics i...
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The paper presents formulation and implementation of Weighted Least Squares algorithm with moving measurement window for a grey box model parameters estimation purposes. The grey box of a biological reactor dynamics is used by Model Predictive controller to control integrated wastewater treatment system at medium time scale. The parameter estimation Weighted Least Squares algorithm is validated by simulation based on recently developed and calibrated model of integrated wastewater treatment system in Kartuzy, Poland.
This paper presents harmonic detecting method for a shunt hybrid active filter using adaptive filter. An adaptive noise canceling theory has been applied as a harmonic detection system to determine a harmonic referenc...
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This paper presents harmonic detecting method for a shunt hybrid active filter using adaptive filter. An adaptive noise canceling theory has been applied as a harmonic detection system to determine a harmonic reference signal for controlling an active filter inverter. This paper presents a new configuration of adaptive method to detect the harmonic components from the distorted source current consisting of fundamental, harmonic and interharmonic components. The proposed configuration is tested with the shunt hybrid active filter to compensate the harmonic source current caused by an induction furnace load. To verify the detecting method, the simulation results are revealed via Simulink/Matlab.
control of integrated wastewater treatment plant-sewer systems under full range of disturbance inputs enforces employing advanced optimising control algorithms. The control activities are hierarchically structured int...
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control of integrated wastewater treatment plant-sewer systems under full range of disturbance inputs enforces employing advanced optimising control algorithms. The control activities are hierarchically structured into a multilevel-multilayer form Model Predictive control is chosen as a core controltechnology. As it is impossible to handle sufficiently well all operating conditions of this system, the operating states of the system are distinguished and these are: normal, disturbed and emergency. Formulation of operational states requires introducing the concepts of the core and secondary objectives that divide the system objectives into obligatory and additionally ones. Different control trajectories are designed for corresponding operational states in order to best adopt control actions to current plant conditions. In order to effectively control such complex system the Supervisory Level (SuCL) is introduced. Its main functionality is: to coordinate activities of the control structure, to asses operational states of the system, to asses selection of the control strategies, to asses imposed control setpoints realisation and risk of not fulfilling the objectives. Paper describes units adjacent to SuCL that major function is to provide the information needed by the SuCL and decision making process.
The paper describes set-bounded parameters and state estimation component for Model Predictive control of integrated wastewater treatment plant at medium time scale purposes. This is one of the components within Intel...
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The paper describes set-bounded parameters and state estimation component for Model Predictive control of integrated wastewater treatment plant at medium time scale purposes. This is one of the components within Intelligent Hierarchical control Structure designed in order to cope with problems of the controlled system such us: multiple time scale, highly non linear dynamics, small number of on-line measurements etc. The set-bounded joined parameter and state estimation algorithm generates robust estimates of these parameters and state for Model Predictive control purposes. Both, the estimation algorithm and the Model Predictive controller utilise a grey-box model of controlled plant dedicated for medium time scale. The set-bounded joined state and grey-box model parameters estimation algorithm is validated by simulation. The data were taken partly from real data records gathered at Kartuzy WWTP in Poland and partly from the Kartuzy plant simulation based on recently developed and calibrated plant model.
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.
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