We deal with the design problem of minimum entropy ℋ ∞ filter in terms of linear matrix inequality (LMI) approach for linear continuous-time systems with a state-space model subject to parameter uncertainty that belo...
We deal with the design problem of minimum entropy ℋ ∞ filter in terms of linear matrix inequality (LMI) approach for linear continuous-time systems with a state-space model subject to parameter uncertainty that belongs to a given convex bounded polyhedral domain. Given a stable uncertain linear system, our attention is focused on the design of full-order and reduced-order robust minimum entropy ℋ ∞ filters, which guarantee the filtering error system to be asymptotically stable and are required to minimize the filtering error system entropy (at s 0 = ∞ ) and to satisfy a prescribed ℋ ∞ disturbance attenuation performance. Sufficient conditions for the existence of desired full-order and reduced-order filters are established in terms of LMIs, respectively, and the corresponding filter synthesis is cast into a convex optimization problem which can be efficiently handled by using standard numerical software. Finally, an illustrative example is provided to show the usefulness and effectiveness of the proposed design method.
In this paper we present predictive self-programming thermostat which controls the heating of a smart environment based on occupancy prediction. We present results of 290 days-long simulation as well as limits of simi...
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In this paper we present predictive self-programming thermostat which controls the heating of a smart environment based on occupancy prediction. We present results of 290 days-long simulation as well as limits of similar systems for energy savings.
In this paper, the development of a water bath temperature system to control the liquid's temperature in the water bath will be presented. In order to develop the water bath temperature control system, MATLAB fuzz...
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The model of three-phase permanent magnet synchronous motor (PMSM) with loss of one phase or loss of one transistor is built and its fault tolerant direct torque control (DTC) is investigated. Extra-leg extraswitch in...
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The model of three-phase permanent magnet synchronous motor (PMSM) with loss of one phase or loss of one transistor is built and its fault tolerant direct torque control (DTC) is investigated. Extra-leg extraswitch inverter is put to use in the post-fault operation. Two different flux estimators are employed in order to calculate stator flux linkage & their corresponding torque and switching table is kept the same as the case of DTC for the healthy motor. The parameters of PI controller and hysteresis controller are determined by differential evolution algorithm. Dynamic responses of both healthy and unhealthy PMSM DTC system adopting aforementioned two flux estimators are given to compare their performance via simulation and some discussion is presented. The simulation results show the proposed fault tolerant DTC yields satisfactory torque and speed control no matter which one of two flux estimators provided in the paper is employed.
A fermentation process is generally defined as a biological process containing the growth of the biomass (bacteria, yeasts) resulting from the consumption of essential substrate supplies (source of carbon, nitrogen, o...
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A fermentation process is generally defined as a biological process containing the growth of the biomass (bacteria, yeasts) resulting from the consumption of essential substrate supplies (source of carbon, nitrogen, oxygen, etc.). The biomass growth is usually followed by the production of various products from which especially the variety of antibiotics makes the fermentation processes attractive for the industrial utilization. However, the complicated dynamics, high level of uncertainty and nonlinearity and difficult online measurement of the process variables come hand in hand with the attractivity and turn the attempts on optimal control of the fermentation process into a very delicate challenge. To tackle it, the theory of the gradient projection method has been partially adapted and fully implemented by the authors of this paper. Numerical experiments show its significantly better performance than for other known methods. Moreover, these experiments reveal an interesting "superprofile" visible for long cultivation times.
A fermentation process is generally defined as a biological process containing the growth of the biomass (bacteria, yeasts) resulting from the consumption of essential substrate supplies (source of carbon, nitrogen, o...
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A fermentation process is generally defined as a biological process containing the growth of the biomass (bacteria, yeasts) resulting from the consumption of essential substrate supplies (source of carbon, nitrogen, oxygen, etc.). The biomass growth is usually followed by the production of various products from which especially the variety of antibiotics makes the fermentation processes attractive for the industrial utilization. However, the complicated dynamics, high level of uncertainty and nonlinearity and difficult online measurement of the process variables come hand in hand with the attractivity and turn the attempts on optimal control of the fermentation process into a very delicate challenge. To tackle it, the theory of the gradient projection method has been partially adapted and fully implemented by the authors of this paper. Numerical experiments show its significantly better performance than for other known methods. Moreover, these experiments reveal an interesting “superprofile” visible for long cultivation times.
Although the invention of the special wheels that move omnidirectional vehicles dates back to the seventies, advances in mechatronics, and controltechnology keep them constantly on the drawing table of engineers work...
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Although the invention of the special wheels that move omnidirectional vehicles dates back to the seventies, advances in mechatronics, and controltechnology keep them constantly on the drawing table of engineers working with mobile robots. The need for eliminating human error becomes ever so obvious when human operators are managing expensive and/or powerful machinery, as the cost of failure can be very high. Omnidirectional platforms are not immune to human error either, however due to their unique working principle they require customized methods. This article presents a trajectory controller for omnidirectional transport robots that is able to correct their trajectory during braking even when high disturbances are present. A method for tuning the controller to achieve a desired behavior is presented. The results are demonstrated by simulation, in Modelica -Dymola environment.
Abstract The activated sludge process is the main process in most urban wastewater treatment systems. It is considered complex in nature, and building its mathematical model in practice becomes difficult. A simple and...
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Abstract The activated sludge process is the main process in most urban wastewater treatment systems. It is considered complex in nature, and building its mathematical model in practice becomes difficult. A simple and easy way to build the simulation models for the system is needed. In this paper, a LabVIEW based simulator for the system is presented. LabVIEW offers a highly efficient, simple and flexible platform for simulation and control. Building applications in LabVIEW require less coding, and debugging is easy and fast. The proposed simulator utilizes the Benchmark Simulation Model no.1 (BSM 1) for the biochemical reactor and clarification processes. The operation of the simulator is via a graphical user interface (GUI) built in the LabVIEW environment. The simulation results can be displayed in digital and graphical forms. Simulation results obtained were compared with the results from other software simulation packages in which the COST/IWA Simulation Benchmark has been implemented. The developed simulator is very useful due to its efficiency and accuracy in simulating the wastewater process model. The simulator can serve as a training tool for plant operators/students to provide them with better knowledge and understanding of the process.
Some difficulty to measure process parameters can be obtained using the vibration and acoustical frequency spectra. The dimension of the frequency spectrum is very large. This poses a difficulty in selecting effective...
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This paper represents using Case-Based Reasoning (CBR) in order to support undergraduate controlengineering students for learning nonlinear systems and control applications. CBR is an experience-based problem solving...
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This paper represents using Case-Based Reasoning (CBR) in order to support undergraduate controlengineering students for learning nonlinear systems and control applications. CBR is an experience-based problem solving methodology; thus, it is used for helping controlengineering students to design conventional PID controllers for nonlinear systems. For this purpose, GUNT pH neutralization process is used as the experimental setup and a GUI is designed for cased-based reasoning in MATLAB. It is observed that undergraduate students can learn and increase their experience on nonlinear systems using the proposed new CBR-GUI.
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