Brain emotional learning based intelligent controller (BELBIC) is based on computational model of limbic system in the mammalian brain. In recent years, this model was applied in many linear and nonlinear control appl...
Brain emotional learning based intelligent controller (BELBIC) is based on computational model of limbic system in the mammalian brain. In recent years, this model was applied in many linear and nonlinear control applications. Previous studies show that this controller has fast response, simple implementation and robustness with respect to disturbances. It is also possible to define emotional signal based on control application objectives. But in the previous studies, internal instability of this controller was not considered and control task were done in limited time period. In this article mathematical description of BELBIC is investigated and improved to avoid internal instability. Simulation and implementation of improved model was done on level plant. The obtained results showed that instability of model has been solved in the new model without loss of performance by using Integral Anti Windup (IAW).
Linear homotopy solution is given for GPS N-point navigation problem. The overdetermined polynomial system has been solved without initial guessed value using natural start system resulting real solutions.
Linear homotopy solution is given for GPS N-point navigation problem. The overdetermined polynomial system has been solved without initial guessed value using natural start system resulting real solutions.
Considering the need of an advanced processcontrol in cement industry, this paper presents an adaptive model predictive algorithm to control a white cement rotary kiln. As any other burning process, the control scena...
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Considering the need of an advanced processcontrol in cement industry, this paper presents an adaptive model predictive algorithm to control a white cement rotary kiln. As any other burning process, the control scenario is to expect the controller to regulate the temperature and the period of baking a fixed quantity of raw material as desired, as well as to have the concentration of the combustion gases under control. To achieve these goals, this work presents a strategy which includes multivariable online identification of the kiln process and a constrained generalized predictive controller. An MLP neural network model derived from real plant data of Saveh cement factory in Iran is used as the kiln process simulator. The control efforts are made taken into account the operating constraints. At last the proposed control strategy is modified so as to gain good disturbance rejection ability.
This paper presents stability analysis of the time-delayed equivalent control based single input sliding mode control systems using an LMI approach. Conditions to guarantee the boundedness of the control system trajec...
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This paper presents stability analysis of the time-delayed equivalent control based single input sliding mode control systems using an LMI approach. Conditions to guarantee the boundedness of the control system trajectories under the time-delayed equivalent control based sliding mode control are obtained. Maximum upper bound of the delay time to guarantee stability is estimated. Digital simulations are conducted to verify the theoretical results.
This paper studies the time-delay effect on the equivalent control based sliding mode control. Conditions to guarantee the boundedness of the control system steady states under the time delayed equivalent control base...
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This paper studies the time-delay effect on the equivalent control based sliding mode control. Conditions to guarantee the boundedness of the control system steady states under the time delayed equivalent control based sliding mode control are obtained. Maximum upper bound of the delay time to guarantee boundedness is estimated. Simulations are conducted to verify the theoretical results.
作者：
Martin ZalesakPetr PolachTomas Bata University in Zlín
Faculty of Applied InformaticsDepartment of Automation and Control EngineeringNad Stráněmi 4511 760 05 ZlínCzech Republic Brno University of Technology
Faculty of Electrical Engineering and CommunicationDepartment of Control and InstrumentationKolejní 4612 00 BrnoCzech Republic
A new multipurpose laboratory of building technology has been built in Tomas Bata University, faculty of Applied informatics and set into test operation. The laboratory supports several subjects like modern HVAC syste...
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A new multipurpose laboratory of building technology has been built in Tomas Bata University, faculty of Applied informatics and set into test operation. The laboratory supports several subjects like modern HVAC system applications, with renewable sources of energy implemented (solar collectors and reversible heat pump application), and a comprehensive system of control, based on the open bus communication system KNX , communication gate based on the TCP/IP protocol. The laboratory is as well equipped as a training tool for control systems based on bus communication particularly KNX (finished) and LONWORKS and BACNET (under construction). The paper describes the first results achieved by the laboratory.
This paper describes a two level parallel grammatical evolution (TLPGE) that can evolve complete programs using a variable length linear genome to govern the mapping of a Backus Naur Form grammar definition. To increa...
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This paper describes a two level parallel grammatical evolution (TLPGE) that can evolve complete programs using a variable length linear genome to govern the mapping of a Backus Naur Form grammar definition. To increase the efficiency of grammatical evolution (GE) the influence of backward processing was tested and a second level with differential evolution was added. The significance of backward coding (BC) and the comparison with standard coding of GEs is presented. The new method is based on parallel grammatical evolution (PGE) with a backward processing algorithm, which is further extended with a differential evolution algorithm. Thus a two-level optimization method was formed in attempt to take advantage of the benefits of both original methods and avoid their difficulties. Both methods used are discussed and the architecture of their combination is described. Also application is discussed and results on a real-word application are described.
Biomedical engineering is a relatively new interdisciplinary science. This paper presents the biomedical engineering activity, which is carried out at Budapest University of Technology and Economics and its partner in...
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Biomedical engineering is a relatively new interdisciplinary science. This paper presents the biomedical engineering activity, which is carried out at Budapest University of Technology and Economics and its partner institutes. In the first part the main goals and the curriculum of the Biomedical engineering Education Program (BMEEP) is presented. The second part of the paper summarizes the most important biomedical engineering researches carried out mostly in the Biomedical engineering Laboratory of our university.
Improving the safety of the traffic is a social interest. Accidents are not only caused by poor technical conditions of the vehicles, but also by tired, indisposed, or bad state-of-minded drivers. The managing of huma...
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Improving the safety of the traffic is a social interest. Accidents are not only caused by poor technical conditions of the vehicles, but also by tired, indisposed, or bad state-of-minded drivers. The managing of human factors needs the control, recording and monitoring of the most important vital parameters of the driver. The paper presents such a system, which is based on ECG recording and needs no or little cooperation of the driver.
The paper investigates the possibility of modeling the highly nonlinear and very complex Sorensen model, [1], of Type 1 diabetic patients using the polytopic LPV modeling possibility. It is illustrated that the LPV mo...
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The paper investigates the possibility of modeling the highly nonlinear and very complex Sorensen model, [1], of Type 1 diabetic patients using the polytopic LPV modeling possibility. It is illustrated that the LPV model is working correctly only in the considered polytope region, but inside it is approximating well the nonlinear model.
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