This paper proposes a fighter aircraft pitch rate command-tracking controller based on a Neural Network Parallel adaptive Control (NNPAC) approach. The scheme consists of an online growing Radial Basis Function Neural...
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ISBN:
(纸本)0780390253
This paper proposes a fighter aircraft pitch rate command-tracking controller based on a Neural Network Parallel adaptive Control (NNPAC) approach. The scheme consists of an online growing Radial Basis Function Neural Network (RBFNN) in parallel with a direct modelreferenceadaptive Control (MRAC) law. A novel concept of an Intelligent Supervisory Loop (ISL) approach is deployed to construct the control scheme for accurate pitch rate command tracking. RBFNN update for centers. radii and width is carried out in view of the error between the pitch rate command and the output. The total control output is used to change the elevator deflection keeping the other control surface deflections at random values, even when the aircraft operates at difference maneuvers. Moreover, a suitable referencemodel structure is used for all aircraft operating modes and the system is then fully tuned by the parallel controller. The importance of the proposed scheme is in its ability to perform effectively as the system mode changes. The proposed control scheme has been validated by conducting simulation studies on a nonlinear F16 fighter aircraft model with operating at different modes and randomly changing parameter set.
Developing a clinically useful closed-loop drug delivery system can be extremely time consuming and costly, One approach to reducing the time and cost associated with developing closed-loop systems is to reduce the nu...
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Developing a clinically useful closed-loop drug delivery system can be extremely time consuming and costly, One approach to reducing the time and cost associated with developing closed-loop systems is to reduce the number of animal experiments and perform an extensive set of simulation studies, Through simulations, a closed-loop controller's performance can be evaluated over a complete spectrum of the patient population, including boundary conditions, Simulation studies are repeatable, offering significant advantages in comparing modifications in control algorithms, Finally, simulation studies can be performed in a fraction of the time required for animal studies, at a fraction of the cost, me have developed a simulator, that included a nonlinear pulsatile-flow cardiovascular model, a physiological regulatory mechanism, and the pharmacology of four frequently titrated cardiovascular drugs, This simulator has already been used in the design and evaluation of two closed-loop algorithms-a self-tuning regulator (STR) and a multiple modeladaptivecontroller (MMAC)-for blood pressure control during and after cardiac surgery.
The author has previously presented work concerned with the automatic control of industrial-type robots [1, 2]. The quite formidable problems of cross coupling of dynamics, extensive nonlinearities, unknown parameter ...
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The author has previously presented work concerned with the automatic control of industrial-type robots [1, 2]. The quite formidable problems of cross coupling of dynamics, extensive nonlinearities, unknown parameter changes and modelling errors were overcome by a technique of modelreferenceadaptive control. Furthermore, the author has shown [3] that this technique is applicable to most types of industrial robots (according to a classification of Coiffet [4]). In this paper, we show that a simplification of the model of the robot yields a particularly attractive form of model reference adaptive controller, whereby the strategy for each link is decoupled from all the other strategies. The main advantages in this are that the controller design is much simpler than before, and that the amount of computation is reduced. Simulation studies support the view that the loss of information induced by thea priorichoice of a simple robot model has little effect on the performance of the closed-loop system.
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