A procedure is presented for optimizing weight functions, when determining /spl Hscr//sub /spl infin// controllers by loop shaping for SISO plants with model uncertainty. The optimization is combined with an evaluatio...
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A procedure is presented for optimizing weight functions, when determining /spl Hscr//sub /spl infin// controllers by loop shaping for SISO plants with model uncertainty. The optimization is combined with an evaluation method to give a final tuning of the controller. The basic idea of both the optimization and the parameter tuning is to formulate separate criteria for low, mid and high frequency closed loop properties. By doing so, the trade off between stability margins, high frequency robustness and low frequency performance is elucidated and, hence, the final choice of parameters is facilitated. The resulting controller has the inherent optimality features of /spl Hscr//sub /spl infin// controllers as well as a robustness to explicit plant uncertainties, guaranteed by the use of Horowitz bounds. In the procedure, low frequency performance is optimized subject to these bounds and a restricted high frequency loop gain. The method is applied to two different uncertain plants, and the results are evaluated in terms of robust performance and evaluated against optimized PID controllers. The comparison shows that with identical tuning parameters and for a given control activity the /spl Hscr//sub /spl infin// controllers achieve better low frequency performance at the same time as the maximum sensitivity is superior.
Effective solutions for asset management become increasingly important in modern automation and control systems. They are especially required in the area of process control. The control systems used here usually consi...
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ISBN:
(纸本)0780372417
Effective solutions for asset management become increasingly important in modern automation and control systems. They are especially required in the area of process control. The control systems used here usually consist of PLC-based networks, which are optimised concerning the special temporal and topological requirements of the process. Asset management functions have to be introduced to those systems, without any influence on the existing equipment. The paper shows an object-oriented solution based on PROFIBUS-PA device. By automatically evaluating a system structure and mapping the profile-relevant parameters of devices to proxy objects, different application modules for asset management functions can be implemented acting on these objects.
Computation of an ARMA covariance function is a common ingredient in analysis and synthesis of various problems in stochastic control, estimation and signal processing. In this paper, we present an algorithm based on ...
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We develop a new software layer called the Automatic Parallel Detection Layer (APDL) for the automatic transformation from sequential to parallel code. The main interest, in this research, is the parallelism at loop l...
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We develop a new software layer called the Automatic Parallel Detection Layer (APDL) for the automatic transformation from sequential to parallel code. The main interest, in this research, is the parallelism at loop level, because significant parallelism in programs almost invariably occurs in loops. The proposed APDL has five processes for code transformation: the sequential source code parser, data dependence analysis of this code, partitioning, scheduling both task and data, and generating parallel source code. Many cases have been studied to evaluate the performance of the developed layer. The performance is evaluated depending on the execution time of: the sequential code, the parallel programmer code, and the code output from APDL for the same case study. Performance results show that APDL greatly improves the execution time with respect to sequential execution time, and saves on the high cost of a parallel programmer.
In this paper the output-tracking problem of a class of composite nonlinear systems is studied. Composite system can be represented solely by models on the grounds of its inputs and measurable outputs. It is assumed t...
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In this paper the output-tracking problem of a class of composite nonlinear systems is studied. Composite system can be represented solely by models on the grounds of its inputs and measurable outputs. It is assumed that (i) the plant system belongs to aclass of composite non linear systems, and that the fuzzy logic control system applied can efficiently use adjustable parameters to approximate its non linear system function. The new theorem guarantees the synthesized indirect fuzzy adaptive control does ensure stable output tracking and possesses the ability to reduce the number of fuzzy rules.
The problem of the pricing equilibrium in multi-service priority-based networks isstudied by using Stackelberg game theory. Some concepts of the game theory were revisited first. Then, the existing results on two-user...
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The problem of the pricing equilibrium in multi-service priority-based networks isstudied by using Stackelberg game theory. Some concepts of the game theory were revisited first. Then, the existing results on two-user, twolevel Nash problem was reviewed briefly. Following this background, a new one-leader, two-level, two-user incentive Stackelberg strategy was derived and proved by employing the time delay involved.
In this paper, a model based fed-batch strategy for the cultivation of the bacterium Photorhabdus luminescens is proposed. The development of an appropriate trajectory for bacterial growth and substrate feed rate can ...
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In this paper, a model based fed-batch strategy for the cultivation of the bacterium Photorhabdus luminescens is proposed. The development of an appropriate trajectory for bacterial growth and substrate feed rate can be obtained using the theory of flat systems introduced by Fliess et al. (1992). To avoid deviations from a desired trajectory caused by model uncertainties or disturbances, a nonlinear controller is presented allowing closed loop control of the fermentation process.
A characteristic feature of the neural network models is the large number of parameters. A model offering many parameters usually gives rise to problems, and the variance contribution to the modeling error might be ve...
A characteristic feature of the neural network models is the large number of parameters. A model offering many parameters usually gives rise to problems, and the variance contribution to the modeling error might be very high. Therefore, it is crucial to find the model with the optimal number of parameters. In this paper two techniques of selection of the optimal number of model parameters are described and compared: explicit and implicit regularization techniques. Model validation forms the final stage of an identification procedure with the aim of assessing objectively whether the identified model agrees sufficiently well with the observed data. In this paper the reliability of the correlation-based validation tests and the χ2-test is analyzed.
A neuro controller for high precision manoeuvring of underwater vehicles require special attention to a number of factors including thruster and vehicle’s nonlinearities, couplings which exist between various degrees...
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A neuro controller for high precision manoeuvring of underwater vehicles require special attention to a number of factors including thruster and vehicle’s nonlinearities, couplings which exist between various degrees of freedom as well as effects of the sea currents. The neuro control system for underwater vehicle maneouvring described here is based on the conventional controller supported with the so called adaptive neural network.
An explicit self-tuning controller based on the Takagi-Sugeno fuzzy model of the process is proposed. The fuzzy model is represented as a linear regression model whose parameters are functions of some of the process v...
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An explicit self-tuning controller based on the Takagi-Sugeno fuzzy model of the process is proposed. The fuzzy model is represented as a linear regression model whose parameters are functions of some of the process variables. Such a model can be considered as a linear time-varying model whose parameter values are known at every moment. The pole placement design procedure modified for time-varying systems is applied to obtain the polynomial controller parameters that provide the desired closed-loop poles. The proposed algorithm is very simple, and thus suitable for on-line controller design in adaptive control systems.
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