This paper addresses the global dissipativity of a general class of continuous-time recurrent neural networks. First, the concepts of global dissipation and global exponential dissipation are defined and elaborated. N...
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This paper addresses the global dissipativity of a general class of continuous-time recurrent neural networks. First, the concepts of global dissipation and global exponential dissipation are defined and elaborated. Next, the sets of global dissipativity and global exponentially dissipativity are characterized using the parameters of recurrent neural network models. In particular, it is shown that the Hopfield network and cellular neural networks with or without time delays are dissipative systems.
Tracking feedback control trade-offs increase dangerously with arbitrarily large uncertainties in the process mode!. This is shown by the bounds in the QFT domain. In this context, the paper develops a theory on the c...
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When the process uncertainty size increases, even linear minimum phase systems must sacrifice desirable aggressive feedback control benefits to avoid an excessive 'cost of feedback', while preserving the robus...
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A control systems engineering approach, employing a two-level overall system architecture and different but compatible formalisms for system representation on the upper and lower levels, has been investigated in detai...
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In this paper, a direct learning control method for a class of switched systems is proposed. The objective of direct learning is to generate the desired control profile for a newly switched system without any feedback...
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In this paper, a direct learning control method for a class of switched systems is proposed. The objective of direct learning is to generate the desired control profile for a newly switched system without any feedback, even if the system may have uncertainties. This is achieved by exploring the inherent relationship between any two systems before and after a switch. The new method is applicable to a class of linear time varying, uncertain and switched systems, when the trajectory tracking control problem is concerned. A numerical simulation demonstrates the effectiveness of the proposed method.
In this paper, a subband image coding scheme based on Periodic Haar Piecewise-Linear PHL functions is proposed. Effectiveness of the compression for different classes of images is evaluated. The comparison of the comp...
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ISBN:
(纸本)0889863784
In this paper, a subband image coding scheme based on Periodic Haar Piecewise-Linear PHL functions is proposed. Effectiveness of the compression for different classes of images is evaluated. The comparison of the compression quality using PHL, DCT and wavelet transforms is given.
Designing a discrete nonlinear H/sup /spl infin// control law requires solving the discrete Hamilton-Jacobi-Issac (DHJI) equations, which are a set of mixed nonlinear partial and algebraic differential equations. An a...
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Designing a discrete nonlinear H/sup /spl infin// control law requires solving the discrete Hamilton-Jacobi-Issac (DHJI) equations, which are a set of mixed nonlinear partial and algebraic differential equations. An algorithm for obtaining the Taylor series solution of DHJI equations was given in which showed that the coefficients of the Taylor series solution were governed by an algebraic Ricatti equation, and a sequence of linear algebraic equations. in this paper, we will further apply the algorithm to design a third order H/sub /spl infin// controller for the well known inverted pendulum system. Simulation is given to show the performance of the third order controller in stabilization and disturbance attenuation.
Tracking feedback control trade-offs increase dangerously with arbitrarily large uncertainties in the process model. This is shown by the bounds in the QFT domain. In this context, the paper develops a theory on the c...
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Tracking feedback control trade-offs increase dangerously with arbitrarily large uncertainties in the process model. This is shown by the bounds in the QFT domain. In this context, the paper develops a theory on the contribution of the plant uncertainty to the tracking QFT bounds through a serious study of tracking bound formulas. From this, a methodology for uncertainty fragmentation is developed. It hopes to loosen the bound toughness, or the control design trade-offs. Better feedback benefits can be achieved while reducing the high-frequency amplification of noises and disturbances at the plant input at the same time. Different QFT controllers in a controller-scheduler structure should drive different uncertainty boundaries.
A control systems engineering approach, employing a two-level overall system architecture and different but compatible formalisms for system representation on the upper and lower levels, has been investigated in detai...
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A control systems engineering approach, employing a two-level overall system architecture and different but compatible formalisms for system representation on the upper and lower levels, has been investigated in detail. One design alternative is based on employing fuzzy-system approximators and solving for the adaptive tracking of the given, arbitrary, desired system outputs. The other alternative is based on state equations of composite systems and the use of neural-network approximators to deal with uncertainties and control adaptation. In both alternatives similarity property of subsystems has been exploited. Both designs can be implemented within the standard computer process control technology, and are therefore believed to be promising in applied systems engineering.
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