Identification of certain system needs search for class of functions or model forapproximation of the system input-output behavior in the "best" possible way. In most situations, as in dynamic systems identi...
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Identification of certain system needs search for class of functions or model forapproximation of the system input-output behavior in the "best" possible way. In most situations, as in dynamic systems identification, pattern recognition etc., the value of the output of the mode ling system is function of the previous values of outputs and inputs. In the current circumstances almost all efforts for using neural networks for identification and control are based on feed-forward networks. If the system order or the upper limit of the order is known, all the necessary previous values of the inputs and outputs of the mode led system can be put as input in the network. The network can learn non-memory transformations that include thesystem output dependence on specified previous inputs and outputs.
controllers based on artificial neural networks (ANNs) are demonstrating high potential in the nonconventional control of nonlinear dynamic systems. This work presents a comparative study of neuro-controllers based on...
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The problem of identification/tracking of rapidly fading communication channels is considered. When the channel coefficients vary rapidly with time the most frequently used weighted least squares (WLS) and least mean ...
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This paper presents a method of enhancing the execution time of a processor in implementing signal processing and control algorithms, through a process of minimisation of memory access time of the processor. The metho...
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This paper presents a method of enhancing the execution time of a processor in implementing signal processing and control algorithms, through a process of minimisation of memory access time of the processor. The method is based on the design and corresponding software coding of an algorithm, and thus can be adopted for a variety of real-timesignal processing and control applications. The finite difference simulation algorithm ofa flexible beam is considered to demonstrate the effectiveness of the proposed method. The algorithm is implemented on a general-purpose computing platform, and a comparative performance evaluation of the processor with the proposed method is presented and discussed.
In now-days, the PID controllers are still implemented in the industrial applications of automaticcontrol. The purpose of this paper is to improve the PID standard algorithm evaluating the PID control output value by...
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In now-days, the PID controllers are still implemented in the industrial applications of automaticcontrol. The purpose of this paper is to improve the PID standard algorithm evaluating the PID control output value by some numerical refined methods and by computational accuracy of the hardware support. The experimental results were obtained in simulation, using a second-order closed-loop system with a first order plant model with time delay.
This paper presents a software tool suitable for dynamic system modelling. The models generated by this tool are modular neural networks, see (Sharkey, 1999). Each module behaves like a functional block and is connect...
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This paper presents a software tool suitable for dynamic system modelling. The models generated by this tool are modular neural networks, see (Sharkey, 1999). Each module behaves like a functional block and is connected to the other modules like in classical block diagrams. This tool allows the inclusion of a priori knowledge and, furthermore, to extract physical information from the models, once the system has learned. The modelling tool is capable of automatic model generation, parameter estimation and model validation.
The paper presents the emerging field of integrated control and CPU-time scheduling, where more general scheduling models and methods that better suit the needs of control systems are developed. This creates possibili...
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ISBN:
(纸本)0780366387
The paper presents the emerging field of integrated control and CPU-time scheduling, where more general scheduling models and methods that better suit the needs of control systems are developed. This creates possibilities for dynamic and flexible integrated control and scheduling frameworks, where the control design methodology takes the availability of computing resources into account during design and allows online trade-offs between control performance and computing resource utilization.
The problem of decentralized stabilization of a class of uncertain interconnected systems via static output feedback is considered. A kind of robust decentralized controller for the systems is proposed and a numerical...
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The problem of decentralized stabilization of a class of uncertain interconnected systems via static output feedback is considered. A kind of robust decentralized controller for the systems is proposed and a numerical example is given to illustrate the result in the paper.
The problem of robust decentralized control for a class of uncertain interconnected systems is investigated. The proposed continuous state feedback controllers ensure the global exponential stability of the closed loo...
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The problem of robust decentralized control for a class of uncertain interconnected systems is investigated. The proposed continuous state feedback controllers ensure the global exponential stability of the closed loop system. Finally, an example is presented to illustrate the results given in the paper and simulation shows that the method is very effective.
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