Temperature is very important parameter of the human body. By measuring the body temperature early diagnoses of the simple diseases such as fever are possible. In patient suffering from a fever the body temperature ha...
详细信息
The main goal of this study is to afford an involvement to the control problem of horizontal axis wind power plants by means of neural network approach. The current paper is a part of a research plan to study the dyna...
详细信息
The main goal of this study is to afford an involvement to the control problem of horizontal axis wind power plants by means of neural network approach. The current paper is a part of a research plan to study the dynamics and control of horizontal axis wind turbines. This work presents a novel methodology to control wind power plants. It makes use of an adaptive neural networks self-tuning control system of medium scale wind turbine system, through different operating conditions. The planned control system consists of neural networks forward and inverse identifiers, which are used to model their dynamics, and to adapt neural controller parameters. A reference model is used to enhance the training course and neural controller which is used to produce control signal to the pitch angle actuator. The planned control system carry out high-quality performance which reveal that the proposed control system is in fact an innovative contribution in the control field of horizontal axis wind turbine power generation systems judge against with previous works.
This paper develops a novel mechanism for managing the performance and feasibility trade off within predictive control. Specifically, it demonstrates that the potential of Laguerre functions needs more investigation b...
详细信息
ISBN:
(纸本)9781424431236
This paper develops a novel mechanism for managing the performance and feasibility trade off within predictive control. Specifically, it demonstrates that the potential of Laguerre functions needs more investigation by the community as this offers a simple and effective alternative to the more usual parameterisations using pulse operator in the predictions. The paper develops a simple and efficient dual-mode algorithm using Laguerre functions and demonstrates, by example, the improvements with respect to a conventional approach, in terms of performance and feasibility benefits.
This paper seeks to extend Generalized Predictive control (GPC) to tracking of trajectories in a periodic nature. The initial focus is on sinusoidal trajectories, but the work may be extended later on to a signal with...
详细信息
ISBN:
(纸本)9781424431236
This paper seeks to extend Generalized Predictive control (GPC) to tracking of trajectories in a periodic nature. The initial focus is on sinusoidal trajectories, but the work may be extended later on to a signal with bandlimited frequencies. In addition, this paper proposes strategies for optimizing the prefilter in GPC to improve the transient performance in setpoint tracking.
Fuzzy cognitive maps (FCM) have been introduced by Kosko to model complex behavioral systems in various scientific areas. One issue that has not been adequately studied so far is the conditions under which they reach ...
详细信息
ISBN:
(纸本)9781424431236
Fuzzy cognitive maps (FCM) have been introduced by Kosko to model complex behavioral systems in various scientific areas. One issue that has not been adequately studied so far is the conditions under which they reach a certain equilibrium point after an initial perturbation. This is equivalent to studying the existence and uniqueness of solutions for their concept values. In this paper, we study the existence of solutions by using an appropriately defined contraction mapping theorem. It is proved that when the weight interconnections fulfill certain conditions the concept values will converge to a unique solution regardless the exact values of the initial concept values perturbations. Otherwise the existence or the uniqueness of equilibrium can not be assured. The results are considered very significant because set the basis for the development of reliable system identification and control schemes based on the concept of FCM. In view of these results recently proposed extensions of FCM, the fuzzy cognitive networks are invoked.
This paper presents a coordinated design of power automation platform for integrating the various power automation sub-systems. It closely follows the IEC standards (IEC61970, IEC61968, IEC61850) and meets the high de...
详细信息
This paper presents a coordinated design of power automation platform for integrating the various power automation sub-systems. It closely follows the IEC standards (IEC61970, IEC61968, IEC61850) and meets the high demands on operation performance, reliability, expandability, openness and security of modern power system control and management. The design introduces two new concepts: Operation Oriented Architecture (OOA) and Multiple Redundancy, or 1×M redundancy. It also includes a high speed open database connection to various RDBMS databases and an open interface layer to different computer operating systems. Other advanced features are also provided in the new design, including the distributed real time database, the data subscribing mechanism, GUI-based data model editing tools and the full version management mechanisms.
This paper proposes an improved delay-range-dependent stability condition for linear systems with an interval time-varying delay, which satisfies h 1 lesd(t)lesh 2 . The improvement is achieved by representing d(t) as...
详细信息
This paper proposes an improved delay-range-dependent stability condition for linear systems with an interval time-varying delay, which satisfies h 1 lesd(t)lesh 2 . The improvement is achieved by representing d(t) as h 1 +h(t) with 0lesh(t)lesh 2 -h 1 , and then constructing a novel Lyapunov-Krasovskii functional with the idea of partitioning the constant time delay. It is illustrated via a numerical example that the proposed result is much less conservative than those available in the literature.
There are a number of competing scientific hypotheses about the structure and parameters of the human control system concerned with balance. System identification techniques have potential to distinguish between such ...
详细信息
There are a number of competing scientific hypotheses about the structure and parameters of the human control system concerned with balance. System identification techniques have potential to distinguish between such competing hypotheses. As a step towards this goal, the data from an initial series of experiments involving balancing an inverted pendulum by a human via a joystick was analysed using a recently-developed two-stage continuous-time identification method.
Designed to diminish the artifacts caused by application of the state-of-the-art error concealment methods, a hybrid error concealment scheme is introduced. The proposed scheme stands out by using the inherent spatial...
详细信息
Designed to diminish the artifacts caused by application of the state-of-the-art error concealment methods, a hybrid error concealment scheme is introduced. The proposed scheme stands out by using the inherent spatial redundancy of natural images along with a data hiding technique to obtain the information required for reconstruction of the lost parts of the image at the receiver. Furthermore, to maintain the quality of the received image in high packet loss conditions, an alternative scheme is proposed which will be activated in response to a receiverpsilas feedback reporting a high packet loss ratio. Our simulation results show that the proposed scheme outperforms the existing methods in terms of the quality of the received image and computational cost.
暂无评论