The problem of design of a controller for a large-scale system is studied. The design objective is to achieve behavior comparable with the standard controller that is LQ optimal. On the other hand the amount of interc...
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The problem of design of a controller for a large-scale system is studied. The design objective is to achieve behavior comparable with the standard controller that is LQ optimal. On the other hand the amount of interconnections between subsystems should be kept as small as possible. This is guaranteed by solving of an optimization problem where the number of interconnections is minimized while the difference in the values of the cost functional for the standard and decentralized controller is a constraint. To find the value of the cost of the decentralized control in presence of interconnections one can use linear matrix inequalities.
This paper presents the latest development of an EMT system designed for use in the metal production industry such as imaging molten steel flow profiles during continuous casting. The system that has been developed is...
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This paper presents the latest development of an EMT system designed for use in the metal production industry such as imaging molten steel flow profiles during continuous casting. The system that has been developed is based on a commercial data acquisition board residing in a PC host computer and programmed in the LabView graphical language. The paper reviews the new EMT hardware electronics and software. The noise effects and the detectability limits of the system are given in the paper followed by the system sensitivity map analysis. Optimal image reconstructions, including the simultaneous iterative reconstruction technique (SIRT) and non-iterative Tikhonov regularization, truncated singular value decomposition (TSVD), are also discussed and applied for the system. The system has been demonstrated in real time (10 frames s-1for 5 kHz excitation) with test phantoms that represent typical metal flow profiles such as central, annular stream and multiple streams.
A multiple models neural network decoupling controller is designed to control the multivariable nonlinear discrete time system. First, at each equilibrium point, one neural network is trained offline to identify the l...
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A multiple models neural network decoupling controller is designed to control the multivariable nonlinear discrete time system. First, at each equilibrium point, one neural network is trained offline to identify the linear term of the nonlinear system while the other neural network is trained online to identify the nonlinear term. Then the multiple models is composed of all models which is got from each equilibrium point. According to the switching index, the best model is selected as the system model. So, for the selected model, the nonlinear term is viewed as the measurable disturbance and eliminated using feedforward strategy. By the choice of the polynomial matrices, the poles of the linear term can be placed arbitrarily and the dynamical decoupling controller is designed accordingly. The simulation example shows effectiveness of the proposed system
A hierarchical multiple models direct adaptive decoupling controller is designed to solve the problem such as too many models, long computing time and so on. The best model is searched in each level according to the s...
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A hierarchical multiple models direct adaptive decoupling controller is designed to solve the problem such as too many models, long computing time and so on. The best model is searched in each level according to the switching index and fixed model set is set up in next level dynamically. By the choice of the weighting polynomial matrix, it not only eliminates the steady output error, places the poles of the closed loop system arbitrarily, but also decouples the system dynamically. At last, to this multiple models switching system, the global convergence is obtained under the common assumptions and the convergence property of the controller parameter set is proved too. When compared with the convenient multiple models adaptive controller, it reduces the number of the fixed models greatly. If the same number of the fixed models is used, system transient response and decoupling result are improved
The supercapacitor is a high efficient and green energy storage component that offers intensive charging and discharging current and performs a perfect reliability and cycling ability. In this paper, three topics are ...
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The supercapacitor is a high efficient and green energy storage component that offers intensive charging and discharging current and performs a perfect reliability and cycling ability. In this paper, three topics are discussed for supercapacitor-based system research and application. Firstly, a comparison among several parameter models of the supercapacitor is presented. In the same time, the characteristics of ESR (equivalent series resistance) and EPR (equivalent parallel resistance) are described and studied. Secondly, the methods of voltage sharing and overvoltage protection for series connected supercapacitors are discussed, and their advantages and disadvantages are compared with each other. Thirdly, a radiation experiment is taken to examine the supercapacitor in its anti-radiation ability for spaceflight application.
Supercapacitors present many advantages in the energy storage field in comparison with batteries and electrostatic capacitors. To obtain an optimal solution for energy saving, combination schemes of supercapacitors an...
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Supercapacitors present many advantages in the energy storage field in comparison with batteries and electrostatic capacitors. To obtain an optimal solution for energy saving, combination schemes of supercapacitors and batteries are worthy of discussion. This paper describes the discharging process of the supercapacitors and some key problems to be solved in applications. Moreover, two methods for designing supercapacitor-battery hybrid systems are presented and compared. Furthermore, voltage balancing and overvoltage protection are discussed in this paper to improve the efficiency of the system and size the system optimally and economically.
This paper provides a new analytical robust stability checking method of fractional-order linear time invariant interval uncertain system. This paper continues the authors’ previous work (Chen et al., 2005a) where ma...
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This paper provides a new analytical robust stability checking method of fractional-order linear time invariant interval uncertain system. This paper continues the authors’ previous work (Chen et al., 2005a) where matrix perturbation theory was used. For the new robust stability checking, Lyapunov inequality is utilized for finding the maximum eigenvalue of a Hermitian matrix. Through numerical examples, the usefulness and the effectiveness of the newly proposed method are verified.
To meet the requirement for precision location of optical feature in the vision coordinates measurement system based on optical features imaging, the Gauss distribution multi-fitting location algorithm based on biline...
A control scheme for highway tunnels is proposed based on a static model of the highway tunnel. The controller is designed to keep the exhaust levels inside the tunnel below given limits. The controller is derived in ...
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A control scheme for highway tunnels is proposed based on a static model of the highway tunnel. The controller is designed to keep the exhaust levels inside the tunnel below given limits. The controller is derived in two stages. First, a controller for an isolated ventilation section is found. Then a controller for a complex tunnel is obtained and the control is optimized by means of linear programming. The control is then simulated on a dynamical model of a highway tunnel.
This paper addresses the problem of robust stability for uncertain two-dimensional systems with delays in the state. The uncertainty is assumed to be of norm-bounded form. To solve this problem, the Lyapunov second me...
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ISBN:
(纸本)1424401704
This paper addresses the problem of robust stability for uncertain two-dimensional systems with delays in the state. The uncertainty is assumed to be of norm-bounded form. To solve this problem, the Lyapunov second method is used. The resulting condition is written in terms of linear matrix inequalities and it is dependent on the size of delays. This fact allows us to reduce the conservatism in the stability analysis of two-dimensional systems with state delays. A illustrative example is given to illustrate the theoretical developments
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