A new identification method for a linear discrete-time closed-loop system is proposed based on an output over-sampling scheme. When the system outputs are over-sampled the new output sequences would contain more infor...
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A new identification method for a linear discrete-time closed-loop system is proposed based on an output over-sampling scheme. When the system outputs are over-sampled the new output sequences would contain more information about the plant structure. Using general least squares method (GLS) the plant over-sampled model should be recognized. Then the original plant model should be obtained by its relationship with the over-sampled model. Compared with conventional approaches the advantage of the new method is that even if the ordinary identifiability conditions are not satisfied, a close-loop system can be identified by using the oversampled output without utilizing any external test signal. Accuracy analysis shows the relationship between the estimation error and the over-sampling rate. Numerical simulation illnstrates its effectiveness.
The aim of this paper is twofold. It provides another option how to obtain a universal easily implementable method for the solution of the regulator equations using the FEMLAB package. The regulator equation originate...
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This paper deals with the control of variable-delay processes, where the delay depends on the value of the manipulated variable, which results in a non-linear system difficult to control. As a reference process, the c...
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This paper deals with the control of variable-delay processes, where the delay depends on the value of the manipulated variable, which results in a non-linear system difficult to control. As a reference process, the case of a heated tank where the controlled variable is the liquid temperature and the placement of the sensor introduce a transport delay in the control loop, has been considered. This challenging problem is approached from the perspective of predictive control, using the non-linear EPSAC controller.
In the paper engineering methods for control of distributed parameter systems given by numerical structures on complex shape 3D definition domains are presented. controlled systems are interpreted as lumped-input/dist...
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In the paper engineering methods for control of distributed parameter systems given by numerical structures on complex shape 3D definition domains are presented. controlled systems are interpreted as lumped-input/distributed-output systems. Schemes of distributed parameter control loops are arranged. A web-based control design environment from *** will be introduced: Distributed Parameter Systems Blockset for MATLAB & Simulink – third-party MathWorks product, web service and internet monograph. – In general the paper indicates a new direction for engineeringcontrol technology, operating mainly on the time axis, to expand towards time/space coordinates of real world.
In the paper a web-based control design environment for distributed parameter systems control education is presented. It is arranged on *** and includes: full downloadable demo version of Distributed Parameter Systems...
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In the paper a web-based control design environment for distributed parameter systems control education is presented. It is arranged on *** and includes: full downloadable demo version of Distributed Parameter Systems Blockset for MATLAB & Simulink with Show, Demos and DPS Wizard –third-party Math Works product; web Service for support control solutions via internet and internet monograph Modeling, control and Design of Distributed Parameter Systems with Demonstrations in MATLAB. Some possibilities of this environment are indicated by control of complex shape 3D metal body heating – modeled by numerical structures of finite element method.
Computer algebra software tools in general, and the MATHEMATICA system in particular, are increasingly employed during the controls and systems graduate and undergraduate courses at FEE CTU in Prague. MATHEMATICA bene...
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Computer algebra software tools in general, and the MATHEMATICA system in particular, are increasingly employed during the controls and systems graduate and undergraduate courses at FEE CTU in Prague. MATHEMATICA benefits from its high-level user interface, graphical abilities, as well as numerical and symbolic computational power and dedicated packages for control systems analysts and design (control systems professional and advanced numerical methods). In addition, MATHEMATICA provides a Web-based platform for publication of results and presenting user-callable routines (webMATHEMATICA). In the Czech Republic a project financed by the Ministry of Education and called PUMA (power user mathematic array) has been started recently, focused on creation of Web-accessible software tools to support education at technical universities. The authors have been involved in these efforts and would like to contribute by creating a Web site based on webMATHEMATICA dedicated to numerical and symbolic computations for systems and controls. This paper is the first report on this topic. The work is in rapid progress now and the paper summarizes the authors' plans and first results
This paper deals with modelling and adaptive output tracking of a Transverse Flux Permanent Magnet Machine (TFPM) as a non-linear system with unknown nonlinearities by utilizing High Gain Observer (HGO) and Radial Bas...
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This paper deals with modelling and adaptive output tracking of a Transverse Flux Permanent Magnet Machine (TFPM) as a non-linear system with unknown nonlinearities by utilizing High Gain Observer (HGO) and Radial Basis Function (RBF) networks. The technique of feedback linearization and H ∞ control are used to design an adaptive control law for compensating the unknown nonlinearity parts, such the effect of cogging torque, as a disturbance is decreased onto the rotor angle and angular velocity tracking performances. Finally, the capability of the proposed method is shown in the simulation results.
The paper offers the possibility of the design of unknown input detection for dynamic systems under external noise effect. The presented geometric based fundamental problem in residual generation (FPRG) method uses on...
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The paper offers the possibility of the design of unknown input detection for dynamic systems under external noise effect. The presented geometric based fundamental problem in residual generation (FPRG) method uses on the one hand the Kalman filtering and on the other hand the moving horizon estimation (MHE) when stochastic noise on the input and on the output, with additive failure directions, are presents. The paper combines the optimal Kalman and MHE method with geometric based unknown input observer strategy. The MHE solution makes to treat constraints during the estimation process possible. A numerical example supports the necessity of constrained unknown input estimation
Formation of the thallium (Tl) overlayers on the Si(100)2×1 surface has been studied using scanning tunneling microscopy (STM) and first-principles total-energy calculations. It has been found that adsorption of ...
Formation of the thallium (Tl) overlayers on the Si(100)2×1 surface has been studied using scanning tunneling microscopy (STM) and first-principles total-energy calculations. It has been found that adsorption of Tl atom involves a charge transfer leading to the development of a static dipole which is responsible for the field-assisted migration of the Tl adsorbate on the surface. When the STM tip bias voltage is positive, Tl atoms are repelled out from the region underneath the tip apex. In the case of the negative bias voltage, Tl is accumulated underneath the tip. Four principal ordered Tl∕Si(100) reconstructions have been found, namely, three 2×2−Tl reconstructions with 0.25, 0.50, and 0.75 ML of Tl and 2×1−Tl reconstruction with 1.0 ML of Tl. The possible atomic arrangement of these reconstructions has been evaluated using first-principles total-energy calculations.
In this paper an alternative approach to non-linear predictive control is presented. It is based on iterative linearisation of the model response so that the same closed loop responses as in the pure non-linear approa...
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ISBN:
(纸本)0780395670
In this paper an alternative approach to non-linear predictive control is presented. It is based on iterative linearisation of the model response so that the same closed loop responses as in the pure non-linear approach are obtained but with reduced computation times and more efficient optimisation tools. The method is applied to a high purity distillation column and some results are presented showing the behaviour of the proposed algorithm.
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