The paper presents a method for the determination of the capacitance matrix needed in modelling and simulation of signal transmission in multiple coupled interconnecting lines. The method utilises capacitance measurem...
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The paper presents a method for the determination of the capacitance matrix needed in modelling and simulation of signal transmission in multiple coupled interconnecting lines. The method utilises capacitance measurements and thus one of its useful application areas is in the validation of numerous previously published algorithms based on various approximations to field equations, originally developed for the computation of capacitance matrices. The technique described is based on the active separation of the capacitance network, achieved through the use of a unity-gain amplifier. Thanks to the circuit configurations introduced with a unity-gain amplifier it is possible to make direct capacitance measurements in the multiconductor interconnecting structures. Measurement procedures are described and analysis of errors in measured quantities caused by the imperfections of measuring equipment is discussed. A sample of results obtained in measuring manufactured test structures is included for illustration of the method and measuring procedures.
In this paper, a nonsingular terminal sliding mode concept is introduced for the control of a class of nonlinear dynamical systems. This nonsingular terminal sliding mode control not only enables the Lnite time conver...
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The novelty of this paper is mainly the integration of multi-disciplinary software tools into a control software design environment, namely the Integrated Design Notation (IDN). The IDN supports the design, developmen...
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In this paper, a nonsingular terminal sliding mode concept is introduced for the control of a class of nonlinear dynamical systems. This nonsingular terminal sliding mode control not only enables the £nite time c...
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In this paper, a nonsingular terminal sliding mode concept is introduced for the control of a class of nonlinear dynamical systems. This nonsingular terminal sliding mode control not only enables the £nite time convergence of the system equilibrium, but also eliminates the singularity problem associated with conventional terminal sliding mode control. Simulations are presented to show the effectiveness of the design.
The novelty of this paper is mainly the integration of multi-disciplinary software tools into a control software design environment, namely the Integrated Design Notation (IDN). The IDN supports the design, developmen...
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The novelty of this paper is mainly the integration of multi-disciplinary software tools into a control software design environment, namely the Integrated Design Notation (IDN). The IDN supports the design, development and implementation of decentralised distributed control systems. This new environment is based on the UML meta-model standard. The translation process to integrate a control software tool (Simulink) and a process control standard (SFC) into the IDN are described. An approach for generating Java code automatically from UML also is proposed. The Java code generated is tested on a real-time target hardware architecture.
The problem of system identification is addressed by means of general neural networks with locally distributed dynamics. These networks are based on both multilayer perceptron and radial basis function structures. Evo...
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The problem of system identification is addressed by means of general neural networks with locally distributed dynamics. These networks are based on both multilayer perceptron and radial basis function structures. Evolutionary algorithms are suggested to select the optimal neural topologies and parameters. The accuracy of the neural models and the complexity of their architectures are evaluated by considering six objective functions organised on a two-level priority hierarchy. The multiobjective optimisation is solved in the Pareto-sense. Special mechanisms are developed, in order to encourage a rapid improvement of the genetic material. Application to a laboratory three-tank system illustrates the approach.
The paper considers the development of a new type of artificial neural network and its applicability to non-linear system identification. This is the functional-link neural network with internal dynamic elements. The ...
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The paper considers the development of a new type of artificial neural network and its applicability to non-linear system identification. This is the functional-link neural network with internal dynamic elements. The net consists of a single layer where the non-linearity is firstly introduced by enhancing the input pattern with a functional expansion. The internal dynamic elements are auto-regressive moving average filters that implement local activation feedback and local output feedback, respectively. Experimental results demonstrate a better capability of generalisation of the suggested neural network in comparison with the functional-link net with static structure and external dynamic elements, used so far to perform system identification.
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