Semi-supervised semantic segmentation has witnessed remarkable advancements in recent years. However, existing algorithms are based on convolutional neural networks and directly applying them to Vision Transformers po...
We consider the problem of learning time-varying functions in a distributed fashion, where agents collect local information to collaboratively achieve a shared estimate. This task is particularly relevant in control a...
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Considering the joint channel estimation and data detection in time-varying orthogonal frequency division multiplexing （OFDM） and addressing transmission performance degradation induced by the severe inter-carrier i...
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Considering the joint channel estimation and data detection in time-varying orthogonal frequency division multiplexing （OFDM） and addressing transmission performance degradation induced by the severe inter-carrier interference （ICI） at very high speed, a new progressive iterative channel estimation scheme is proposed. To alleviate the error propagation of the inaccurate data due to ICI, the measurement subcarriers in the Kalman filter is designed to be extended from pilots subcarriers to all the subcarriers progressively through the iterations. Furthermore, in iteration process, the interference of the non-pilot data to the measurement subcarriers is considered to be part of noise in the modified Kalman filter, which improves the estimation accuracy. Simulation indicates that the proposed scheme improves the performance in fast time-varying situation.
Most existing generation scheduling models for power systems under demand uncertainty rely on energy-based formulations with a finite number of time periods, which may fail to ensure that power supply and demand are b...
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The development of on-line drug administration strategies in operating theatres represents a highly safety-critical situation. The usefulness of different levels of simulation prior to clinical trials has been shown i...
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The development of on-line drug administration strategies in operating theatres represents a highly safety-critical situation. The usefulness of different levels of simulation prior to clinical trials has been shown in previous studies in anaesthesia. Thus, in earlier work on pole-placement self-tuning for muscle relaxation, a dual computer real-time simulation was undertaker, subsequent to algorithm validation via off-line simulation. In the present work, supervised fuzzy rule-based control algorithms are being used. The control software was implemented on the actual machine to be used in theatre, while another computer acted as a real-rime patient simulator. it provides a fast design and simulation environment for safety-critical validation. The resultant validated controllers are now being used clinically.
The paper presents a new approach to non-linear adaptive control for power systems using the properties of the degree of stability and the Lyapunov function. Sufficient conditions are derived for the existence of a st...
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The paper presents a new approach to non-linear adaptive control for power systems using the properties of the degree of stability and the Lyapunov function. Sufficient conditions are derived for the existence of a stabilizing adaptive control law given a non-linear varying system. These conditions are in terms of the controller parameters and apply to systems in which the parameters are not all known. Thus, the control law obtained is implemented by purely local feedback. The stability of the system with the adaptive control is illustrated by the results of a simulation of a single-machine system model.
The higher order phase response functions contain important information about the behaviour of non-linear systems. Unfortunately, simply adopting the linear convention of plotting the phase between +/- 180 degrees pro...
The higher order phase response functions contain important information about the behaviour of non-linear systems. Unfortunately, simply adopting the linear convention of plotting the phase between +/- 180 degrees produces higher order phase response functions which are virtually impossible to interpret. In the present paper two new algorithms are introduced to overcome these problems by unwrapping the multidimensional non-linear phase. The unwrapped phase responses are shown to be much easier to interpret and details of the implementation together with examples illustrating the new techniques are included. (C) 1995 Academic Press Limited
The need to find new sources of power has emerged as an important issue due to the existing worldwide increase in the demand of energy. In this way, nuclear fusion has turned out to be a promising source of this power...
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ISBN:
(纸本)9783902661555
The need to find new sources of power has emerged as an important issue due to the existing worldwide increase in the demand of energy. In this way, nuclear fusion has turned out to be a promising source of this power which has lead to an increasing interest in finding solutions for the different tokamak control problems. In order to find appropriate controllers for tokamaks several kinds of codes and models have been developed. In this paper one of those codes, ASTRA, is used to simulate the performance of a tokamak. The aim of this paper is to show how the ASTRA code for tokamaks can be integrated into the Matlab - Simulink tool with the purpose of making more convenient and easier the development of suitable controllers for tokamaks. In particular as a demonstrative case study, a simple PID controller has been designed for the loop voltage of a tokamak. The simulations obtained from the example presented in this manuscript show the feasibility and the goodness of the proposed ASTRA - Matlab integration. This integration composes a new and innovative issue in the tokamak control area and it provides new possibilities to the development and application of advanced control schemes to the standardized and widely extended ASTRA simulation code for tokamaks.
When converting a time-domain model of a non-linear system into the frequency domain to get non-linear transfer functions, any constant or dc term in the time-domain model can have a significant effect on the time-to-...
When converting a time-domain model of a non-linear system into the frequency domain to get non-linear transfer functions, any constant or dc term in the time-domain model can have a significant effect on the time-to-frequency domain mapping. The constant term can not therefore simply be discarded as in the linear case. This paper examines this effect and a new mapping is derived to obtain the non-linear transfer functions from a general class of non-linear rational models in which a constant term is included. The results are illustrated using several examples. (C) 1995 Academic Press Limited
This paper considers distributed online nonconvex optimization with time-varying inequality constraints over a network of agents. For a time-varying graph, we propose a distributed online primal–dual algorithm with c...
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