For the well known ball-and-beam system, we design a new saturation control law, which employs state-dependent saturation levels and guarantees global asymptotic stability, not achieved with previous designs.
For the well known ball-and-beam system, we design a new saturation control law, which employs state-dependent saturation levels and guarantees global asymptotic stability, not achieved with previous designs.
An adaptive transversal equalizer based upon the least-mean-square (LMS) algorithm, operating in an environment with temporally correlated interference can exhibit better steady-state mean-square-error (MSE) performan...
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An adaptive transversal equalizer based upon the least-mean-square (LMS) algorithm, operating in an environment with temporally correlated interference can exhibit better steady-state mean-square-error (MSE) performance than the corresponding Wiener filter. This phenomenon is a result of the nonlinear nature of the LMS algorithm and is obscured by traditional analysis approaches that utilize the independence assumption. We use a transfer function approach to quantify the MSE performance of the LMS algorithm and demonstrate that the degree to which LMS may outperform the corresponding Wiener filter is dependent on system parameters such as signal-to-noise ratio and the step-size parameter.
This paper presents a recursive method for evaluating the error rate performance of multichannel reception of coherent MPSK systems operating over slowly Ricean fading channels. Each of the multiple channels is assume...
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This paper presents a recursive method for evaluating the error rate performance of multichannel reception of coherent MPSK systems operating over slowly Ricean fading channels. Each of the multiple channels is assumed to be a bandlimited two-sided discrete path model with complex Gaussian taps. The main path is assumed to be non-zero mean, corresponding to Ricean fading. Maximal ratio combining in the receiver is assumed, and an expression for the received phase density function is developed. A recursive method for solving the resulting error probability expression is then presented. This method is similar to those used for recursive computation of the Marcum Q function, and is both efficient and accurate. The method can be applied for both the flat and frequency selective Ricean fading cases. Examples based on a ship to ship high-data-rate line-of-sight channel model are provided to demonstrate the method.
We introduce a class of extended strict feedback nonlinear systems in which unmeasured states enter the system equations in a linear (affine) fashion. For such systems, we present a procedure for constructing dynamic ...
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We introduce a class of extended strict feedback nonlinear systems in which unmeasured states enter the system equations in a linear (affine) fashion. For such systems, we present a procedure for constructing dynamic partial state feedback controllers that achieve the global asymptotic tracking of given reference trajectories while maintaining internal boundedness. The controller dynamic order is equal to the number of unmeasured states. To illustrate our design procedure, we construct such a tracking controller for a nonlinear electromechanical rotor/platform system. Copyright (C) 1996 Elsevier Science Ltd.
Two soft computing paradigms for automated learning control of complex systems are briefly de scribed. To illustrate the utility of the paradigms, they are applied to a desalination process and sim ulations are perfor...
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Two soft computing paradigms for automated learning control of complex systems are briefly de scribed. To illustrate the utility of the paradigms, they are applied to a desalination process and sim ulations are performed. The first paradigm in corporates Genetic Algorithms (GA) in a learn ing scheme to adapt parameters of the fuzzy controller to changing environmental conditions. The second paradigm concentrates on a methodology which uses a Neural Network (NN) to adapt a fuzzy logic controller. Simulation results of fuzzy controllers learned with the aid of these soft computing paradigms are presented.
Fuzzy logic and evolutionary computation have proven to be convenient tools for handling real-world uncertainty and designing control systems, respectively. An approach is presented that combines attributes of these p...
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This paper presents plant modeling, analysis, and nonlinear control design and implementation for swing-up, pendulum regulation, and arm tracking of a rotational inverted pendulum plant. For the ideal case, the equili...
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This paper presents plant modeling, analysis, and nonlinear control design and implementation for swing-up, pendulum regulation, and arm tracking of a rotational inverted pendulum plant. For the ideal case, the equilibrium states are characterized. It is shown, for example, that the pendulum cannot be kept at a fixed angle above the horizontal except in a vertical position. The control design centers on the pendulum regulation and arm tracking controllers. A sliding mode and a variable-gain PID controllers are chosen for regulation and tracking. Due to the strong coupling of the arm and pendulum dynamics, a 2DOF control configuration was used. A simple technique was used to swing-up the pendulum to within the region of attraction of the regulation controller. Results of computer simulations and laboratory photos are presented.
Cerium dioxide is a rare earth oxide material which may be useful for various optical and electronic applications because of its high refractive index and dielectric constant. Cerium dioxide thin films were deposited ...
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Cerium dioxide is a rare earth oxide material which may be useful for various optical and electronic applications because of its high refractive index and dielectric constant. Cerium dioxide thin films were deposited on to glass substrates using r.f. magnetron sputtering. A cerium dioxide target was used for sputtering and films were deposited for various oxygen-argon gas flow ratios under different sputtering power levels. X-ray photoelectron spectroscopy analysis were performed on these films and the results are presented in terms of deposition conditions.
This paper presents a framework for analyzing the error rate performance of multichannel coherent reception of MPSK systems operating over frequency selective, slowly fading channels. Each of the baseband channels is ...
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This paper presents a framework for analyzing the error rate performance of multichannel coherent reception of MPSK systems operating over frequency selective, slowly fading channels. Each of the baseband channels is assumed to be a bandlimited two-sided discrete path model with correlated complex Gaussian taps, which is assumed to have resulted from an underlying Gaussian wide-sense-stationary uncorrelated-scattering (WSSUS) physical channel followed by a lowpass filter. By working with this "resolved channel", the resulting performance evaluation incorporates whatever resolution is inherent in the bandwidth of interest. An expression for the received phase density function is developed. The probability of symbol error, conditioned on the interfering symbols, is then determined, and the cases for which a closed form or efficient numerical evaluation is possible are specified. The symbol error rate is then obtained by summing over the interfering symbols. A progressive ISI bound is then discussed for cases when faster computation is required. Examples are then provided to demonstrate the versatility of the method.
This paper describes a framework for predicting the error rate performance of linearly modulated coherent systems operating over frequency selective, slowly fading channels, when the statistics of the bandlimited two-...
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This paper describes a framework for predicting the error rate performance of linearly modulated coherent systems operating over frequency selective, slowly fading channels, when the statistics of the bandlimited two-sided discrete FIR model for the channel are available from a channel estimator. This work supports an upcoming experiment in which channel estimates obtained with one modulation scheme will be used to predict the performance of higher order modulation schemes. The focus of this paper is the mathematical framework for the theoretical performance prediction. Linear memoryless modulation is assumed, providing a a very general signal model that includes M-PSK and M-QAM. The channel model is slowly fading, with correlated complex Gaussian taps, incorporating both the flat and frequency selective cases. Expressions for the error probability are presented, and the cases for which closed form or acceptable numerical solutions exist are delineated. A new recursive method for solving the Rician-fading main path case is presented. The high-data-rate maritime line-of-sight channel is used to demonstrate the use fullness of the method.
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