Correlation-based model validity tests are introduced to monitor the operation of non-linear adaptive noise cancellation filters and to detect whether the filters are operating correctly or incorrectly. The tests are ...
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Correlation-based model validity tests are introduced to monitor the operation of non-linear adaptive noise cancellation filters and to detect whether the filters are operating correctly or incorrectly. The tests are derived for a NARMAX (Non-linear Autor-Regressive Moving Average model with eXogenous inputs) filter design based on a Sub-Optimal Least Squares (SOLS) estimation algorithm. Simulation studies are included to illustrate the performance of the new tests.
We investigate the evolutionary Prisoner's Dilemma and the Snowdrift Game on small-world networks in a realistic social context where individuals consider their local contributions to their group and update their ...
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We investigate the evolutionary Prisoner's Dilemma and the Snowdrift Game on small-world networks in a realistic social context where individuals consider their local contributions to their group and update their strategies by self-questioning. An individual with introspection can determine whether its current strategy is superior by playing a virtual round of the game and its local contribution is defined as the sum of all the payoffs its neighbors collect against it. In our model, the performance of an individual is determined by both its payoff and local contribution through a linear combination. We demonstrate that the present mechanism can produce very robust cooperative behavior in both games. Furthermore, we provide theoretical analysis based on mean-field approximation, and find that the analytical predictions are qualitatively consistent with the simulation results.
Decentralized adaptive control schemes using the principle of dominant subsystems are presented for time-varying nonlinear dynamic large-scale interconnected systems. Sufficient conditions for the existence of local d...
Decentralized adaptive control schemes using the principle of dominant subsystems are presented for time-varying nonlinear dynamic large-scale interconnected systems. Sufficient conditions for the existence of local decentralized adaptive control laws stabilizing a given large-scale system (LSS) are derived in terms of controller parameters for incompletely known composite systems. The approach proposed in this paper is applied to nonlinear stabilizing adaptive decentralized control (ADC) of multimachine power systems. The stability of the multimachine power systems with the ADC is illustrated by the simulation results for a two machine system.
This paper develops and investigates a dual unscented Kalman filter (DUKF) for the joint nonlinear state and parameter identification of commercial adaptive cruise control (ACC) systems. Although the core functionalit...
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With the propagation of applications on the internet, the internet has become a great information source which supplies users with valuable information. But it is hard for users to quickly acquire the right informatio...
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With the propagation of applications on the internet, the internet has become a great information source which supplies users with valuable information. But it is hard for users to quickly acquire the right information on the web. This paper an intelligent agent for internet applications to retrieve and extract web information under user's guidance. The intelligent agent is made up of a retrieval script to identify web sources, an extraction script based on the document object model to express extraction process, a data translator to export the extracted information into knowledge bases with frame structures, and a data reasoning to reply users' questions. A GUI tool named Script Writer helps to generate the extraction script visually, and knowledge rule databases help to extract wanted information and to generate the answer to questions.
We study the effects of degree correlations on the evolution of cooperation in the prisoner's dilemma game with individuals located on two types of positively correlated networks. It is shown that the positive deg...
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We study the effects of degree correlations on the evolution of cooperation in the prisoner's dilemma game with individuals located on two types of positively correlated networks. It is shown that the positive degree correlation can either promote or inhibit the emergence of cooperation depending on network configurations. Furthermore, we investigate the probability to cooperate as a function of connectivity degree, and find that high-degree individuals generally have a higher tendency to cooperate. Finally, it is found that small-degree individuals usually change their strategy more frequently, and such change is shown to be unfavourable to cooperation for both kinds of networks.
This paper considers the sensitivity analysis of linear timeinvariant multivariable 2-D systems. Procedures that can be easily programmed on a digital computer are presented for the determination of the deviations tha...
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This paper considers the sensitivity analysis of linear timeinvariant multivariable 2-D systems. Procedures that can be easily programmed on a digital computer are presented for the determination of the deviations that are caused by the system's parameter changes about their nominal values of: 1) eigenvalues, 2) coefficients of the characteristic polynomial, and 3) the coefficient matrices of the numerator of the transfer function.
This paper considers the problem of matching a system under control to a model using output feedback when both the given system and the model are described by nonparametric models, such as the impulse response matrix....
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This paper considers the problem of matching a system under control to a model using output feedback when both the given system and the model are described by nonparametric models, such as the impulse response matrix. Conditions are established for exact matching, the problem being reduced to that of solving a linear system of equations. The present paper constitutes the first results in non-parametric model matching which appear to be very suitable for practical applications.
This paper presents a novel approach to artificial situation awareness for an autonomous vehicle operating in complex dynamic environments populated by other agents. A key aspect of situation awareness is the use of m...
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This paper handles pipe leakage in water networks through a fault detection and isolation mechanism coupled with dictionary learning strategies. We consider sparse representation strategies for sensor placement and su...
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