A graph-theoretic method for integration of process and control system (IPCS) syntheses has been proposed in the present paper. The foundation of this integration is a well-established, graph-theoretic approach to pro...
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A graph-theoretic method for integration of process and control system (IPCS) syntheses has been proposed in the present paper. The foundation of this integration is a well-established, graph-theoretic approach to process synthesis in conjunction with the analysis of structural controllability based on digraph-type process models. A directed bipartite graph, the CP-graph, has been introduced for unambiguous representation of an IPCS structure. The notion of CP-graph has given rise to a set of axioms for describing the combinatorially feasible and controllable structures. The maximal controllable structure of an IPCS synthesis problem has been defined as the union of combinatorially feasible and controllable IPCS structures; obviously, the optimal IPCS structure must be a substructure of this maximal controllable structure. Thus, the mathematical programming model, e.g., MINLP model, of an IPCS synthesis problem should be derived from the maximal controllable structure. The fundamental combinatorial algorithm of IPCS synthesis, i.e., algorithm CMSG, for identifying this maximal controllable structure has been formulated. The complexity of this algorithm has been proved to be polynomial on the size of the problem; its efficacy is illustrated with a relatively simple example. The resultant IPCS structures are compared with the structures synthesized without considering their controlsystems.
In this paper we discuss pattern generations and switching for robot manipulators to perform tasks under qualitative changes of the dynamic environment. The approach is to compose continuous type artificial neural ele...
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In this paper we discuss pattern generations and switching for robot manipulators to perform tasks under qualitative changes of the dynamic environment. The approach is to compose continuous type artificial neural elements as an oscillator based on mutual entrainment and generate trajectories for the manipulators. Using the neural oscillator, juggling control of manipulators is considered as a concrete task, and a method to alternate patterns of the trajectories according to the change of the desired value and environment is proposed. Some numerical examples show the efficiency of the proposed method.< >
H/sub /spl infin// and robust estimation methods are discussed from a deterministic as well as a stochastic point of view. The relationship between H/sub /spl infin// and risk sensitivity for systems with known plant ...
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H/sub /spl infin// and robust estimation methods are discussed from a deterministic as well as a stochastic point of view. The relationship between H/sub /spl infin// and risk sensitivity for systems with known plant dynamics is reviewed. This relationship is extended to the more general case of estimators that are robust to noise and plant model uncertainties. Specifically, it is shown that a stochastic equivalent to the robust H/sub /spl infin// estimator exists. An example is used to compare the estimators in the deterministic sense, using the frequency response of the transfer function between the inputs and the error, as well as in the stochastic sense, using the probability density function of the output error residual.< >
This paper reviews progress in developing a mathematical framework to evaluate the performance of mobile radio links. It takes into account multi-ray multipath fading with Rician or Nakagami probability density, logno...
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This paper reviews progress in developing a mathematical framework to evaluate the performance of mobile radio links. It takes into account multi-ray multipath fading with Rician or Nakagami probability density, lognormal shadowing and path loss of wanted and interfering transmitters, additive white Gaussian noise, man-made burst noise and discontinuous transmission. The method uses Laplace transforms of the PDF of the power of each interfering signal. This method is computationally efficient and allows inclusion of a wide range of link aspects. We also show that, in contrast to common belief, it is not realistic to approximate the Rician fading of the wanted signal by a Nakagami model. New results are given for microcells along highways.
This paper proposes a radio architecture that offers two-way transmission services essential to intelligent vehicle highway systems (IVHS) using only a single (30 kHz) radio channel. Within this bandwidth multiple com...
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This paper proposes a radio architecture that offers two-way transmission services essential to intelligent vehicle highway systems (IVHS) using only a single (30 kHz) radio channel. Within this bandwidth multiple communication services can be supported, including datacasting, packet switched transmission to and from vehicles, collection of traffic data from probe vehicles and transmission of emergency messages. The design is based on theoretical investigations reported at PIMRC '93 and VTC '94 on packet-switched downlink transmissions and ALOHA random access for traffic reports from probe vehicles, respectively. These analyses revealed that contiguous frequency reuse gives optimum packet delay and highest spectrum efficiency. New results are included for datacasting messages to groups of vehicles.
Necessary and sufficient conditions for existence of estimators and controllers meeting desired H/sub /spl infin// performance criterion are given for the case where the finite sensor delays exist. A complete characte...
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Necessary and sufficient conditions for existence of estimators and controllers meeting desired H/sub /spl infin// performance criterion are given for the case where the finite sensor delays exist. A complete characterization of such controllers is also presented. The necessary and sufficient conditions are computable and are framed in terms of two algebraic Riccati equations and one finite-horizon Riccati differential equation. The controllers and estimators that are obtained here have a linear periodic structure and are easily implementable. At the foundation of these results lies a modified Nehari problem, the state space solution for which may be of independent interest.
The fuzzy sequential circuit and its learning algorithm are proposed. The circuit consists of the weight-added fuzzy flip-flops. The weight-added fuzzy flip-flop is constructed by weight-added AND/OR elements. To illu...
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The fuzzy sequential circuit and its learning algorithm are proposed. The circuit consists of the weight-added fuzzy flip-flops. The weight-added fuzzy flip-flop is constructed by weight-added AND/OR elements. To illustrate the modeling process of the fuzzy sequential circuit, the circuit is applied to part of a small economic model. In this example, each economical variable corresponds to the weight-added fuzzy flip-flop identically, and the relationships of cause and effect are realized by supplementary using of the ordinary AND/OR elements. The topology of fuzzy sequential circuit is defined by the relationships of cause and effect. The weight parameters of each weight-added fuzzy flip-flop are estimated by the learning algorithm proposed.< >
A code division multiple access detector that employs a combination of a decorrelator and a multidimensional interference canceler is considered. The weights of the canceler are adaptively controlled using a steepest ...
A code division multiple access detector that employs a combination of a decorrelator and a multidimensional interference canceler is considered. The weights of the canceler are adaptively controlled using a steepest descent algorithm. The probability of error is evaluated and compared to those of the decorrelating detector and a similar, fixed-weights scheme that requires an estimation of received signal energies. It is shown that the proposed two-stage detector provides substantial improvement over the decorrelating detector, particularly in the presence of strong interfering signals. This is especially noticeable in the high bandwidth efficiency cases. It is also observed that in the presence of weak interferers, the proposed scheme performs better than its fixed-weights counterpart.
A code division multiple access detector that employs a combination of a correlation detector and a multiuser adaptive interference canceler was previously proposed by the authors. The weights of the canceler are adap...
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A code division multiple access detector that employs a combination of a correlation detector and a multiuser adaptive interference canceler was previously proposed by the authors. The weights of the canceler are adaptively controlled by the steepest descent algorithm using the minimum power criterion of the canceler outputs. It was shown that such a canceler substantially outperforms the decorrelating detector and has almost the same error probability as a canceler that uses reliable estimates of the received signal energies. In this paper, a different weight control criterion based on minimizing the correlation between the signals at the outputs of the canceler is used, and its performance is compared to that obtained with the minimum power criterion. It is shown that both cancelers have almost the same performance, particularly when SNR is modestly high. Although it is not shown in this paper, we believe that minimizing correlation rather than power outputs is a more suitable criterion when dealing with highly dispersive channels.< >
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