A signal separation method for extracting background electroencephalogram (EEG) from EEG containing spikes was proposed. Morphological filters were designed for extracting spike waveforms, and then the background EEG ...
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A signal separation method for extracting background electroencephalogram (EEG) from EEG containing spikes was proposed. Morphological filters were designed for extracting spike waveforms, and then the background EEG was obtained by subtracting the detected spike waveforms from the EEG with spike . The proposed method was evaluated by using simulated EEG data, which consisted of a summation of EEG without spike and model waveform of typical spike. The background EEG separated by the method was processed by the automatic background EEG interpretation.
This paper reports further development of the so-called ID Lyapunov equation based approach to the stability analysis of differential linear repetitive processes. In particular, it is shown that this approach leads to...
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Repetitive, or multipass, processes are a class of 2D systems of both practical and algorithmic/theoretical interest whose dynamics cannot be analysed or controlled using standard (1D) systems theory. Recently it has ...
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Repetitive, or multipass, processes are a class of 2D systems of both practical and algorithmic/theoretical interest whose dynamics cannot be analysed or controlled using standard (1D) systems theory. Recently it has been shown that the modelling of the boundary conditions, also known as the process initial conditions, is a crucial feature in the analysis and control of these processes. This paper presents some further results on the effects of so-called 'dynamic' process initial conditions on the controllability and stability properties of discrete linear repetitive processes. Previous work has shown that these dynamic process initial conditions alone can destroy the stability properties of these processes. Hence their effects must be 'adequately' accounted for the process modelling stage in order to ensure that subsequent analysis does not lead to incorrect results/conclusions. The main results developed in this paper can be summarised as follows. (i) Computationally efficient stability tests which can, in effect, be applied using standard, or 1D, linear systems tests. (ii) Characterisation of so-called pass controllability in the form of matrix rank based conditions. (iii) Conditions under which the dynamic process initial conditions can be selected to ensure stability and pass controllability.
Diop et al. previously (1994) proposed a general observer design methodology based upon numerical differentiation and the interpretation of observability of a system as the solvability of the system's dynamical eq...
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ISBN:
(纸本)0780352513
Diop et al. previously (1994) proposed a general observer design methodology based upon numerical differentiation and the interpretation of observability of a system as the solvability of the system's dynamical equations for the state vector in terms of a finite number of derivatives of the output and input. Numerical differentiation-base observers are alternatives to asymptotic observers for nonlinear systems. Various techniques are known to be efficient for the estimation of the few first derivatives from data with low frequency content, such as polynomial- and spline-based least squares, and averaged central differences. The main advantages of such observers are intuitiveness, flexibility and speed. However, as is the case of many inverse problems, differentiation is an ill-posed operator. This communication proposes the use of regularization to partially overcome the noise sensitivity that is inherent in the standard numerical differentiation. Regularization of numerical derivatives from experimental data consists of two operations: filtering and differentiation. Mollification is a method of filter design that is fairly well amenable to a mathematical analysis, including computation of estimation error bounds. In this method experimental data is projected onto Sobolev spaces of signals with less high frequency content, which may then be differentiated stably. The filters in question are infinite dimensional. They can be implemented approximately by means of digital Fourier transformation on finite moving windows of the data.
This paper deals with the problem of H/sub /spl infin// control for a class of nonlinear systems. The system under consideration is assumed to be globally asymptotically stable with a known Lyapunov function. Based on...
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This paper deals with the problem of H/sub /spl infin// control for a class of nonlinear systems. The system under consideration is assumed to be globally asymptotically stable with a known Lyapunov function. Based on this Lyapunov function and using the notion of dissipativeness, a state feedback controller is designed which renders the closed-loop system globally asymptotically stable with a prescribed bound on the L/sub 2/-gain from the disturbance input to the controlled output. The proposed controller design method is based on the explicit construction of a Lyapunov function for the closed-loop system, which represents a significant advantage over existing methods.
The existence and stability properties of periodic orbits are studied for nonlinear systems with impulse effects. This is achieved with an extension of the well-known method of Poincare. The main result is then applie...
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The existence and stability properties of periodic orbits are studied for nonlinear systems with impulse effects. This is achieved with an extension of the well-known method of Poincare. The main result is then applied to a model of an under actuated, five degree of freedom biped robot with a torso in order to prove, for the first time, the existence of an asymptotically stable walking cycle.
In this paper a realization theory and associated algorithms are presented for the construction of minimal realizations on the basis of a sequence of expansion coefficients in a generalized orthonormal basis. Both the...
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In this paper a realization theory and associated algorithms are presented for the construction of minimal realizations on the basis of a sequence of expansion coefficients in a generalized orthonormal basis. Both the exact and the partial realization problem are addressed and solved, leading to extended versions of the classical Ho-Kalman *** the construction of the realization algorithms, fruitful use is made of a system analysis in the transform domain, being induced by the choice of basis functions. The resulting algorithms can also be applied in approximate realization and in system approximation.
Metalorganic chemical vapor deposition (MOCVD) is a promising technology for the growth of epitaxial semiconductors. It has traditionally lacked real-time growth monitoring and control, which limits the precise reprod...
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Metalorganic chemical vapor deposition (MOCVD) is a promising technology for the growth of epitaxial semiconductors. It has traditionally lacked real-time growth monitoring and control, which limits the precise reproducibility needed for high performance devices. Two complementary control approaches are investigated experimentally. The first is a feedforward disturbance rejection strategy using ultrasonic concentration measurements to reject source gas bubbler disturbances. The second is a feedback system using an ultraviolet absorption sensor for real-time monitoring of reaction chamber gas concentrations. Postgrowth X-ray analysis of InP/GaInAs superlattice test devices is used to evaluate control system performance.
Repetitive processes are a distinct class of 2D systems of both theoretic and practical interest. For example, they arise in the study of industrial processes such as long-wall coal cutting operations and also in the ...
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Repetitive processes are a distinct class of 2D systems of both theoretic and practical interest. For example, they arise in the study of industrial processes such as long-wall coal cutting operations and also in the modeling of classes of iterative learning control schemes. This paper describes the development of MATLAB based tools for control related analysis/controller design in the case of so-called discrete linear repetitive processes with particular emphasis on the iterative learning control application. Some areas for short to medium term further development are also briefly noted.
Embedded systems are computer-based systems which must respond to external stimuli within time scales determined by the external environment. Such systems are required to achieve ever more demanding behavioural. perfo...
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Embedded systems are computer-based systems which must respond to external stimuli within time scales determined by the external environment. Such systems are required to achieve ever more demanding behavioural. performance and safety requirements. Embedded systems are found in applications such as primary flight control, gas-turbine engine control and railway traffic management Often complex embedded systems are distributed, typically to achieve demanding performance or dependability requirements, and must operate within hard real-time constraints. Considerable effort is required to select optimal design solutions and ensure adherence to specified requirements. In embedded systems safety, reliability and response-times are considered as strict constraints on the system design. Achievement of these constraints requires meticulous analysis, typically through the use of specialist modelling and simulation techniques. Integration of knowledge and understanding obtained from disparate detailed models remains a considerable challenge. Ideally, a system which has both continuous dynamics and event-driven parts. would be modelled in one environment, using the most appropriate techniques for each part, and allowing the analysis of the whole system to be carried out simultaneously. The paper presents an integrated approach in order to translate automatically the information manipulated during the different phases of the design: specification. analysis, design and implementation.
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