The proceedings contain 86 papers. The topics discussed include: the role of signal processing in revolutionary capabilities;wireless communication: a natural adaptive system application;information geometry of adapti...
ISBN:
(纸本)0780358007
The proceedings contain 86 papers. The topics discussed include: the role of signal processing in revolutionary capabilities;wireless communication: a natural adaptive system application;information geometry of adaptive systems;from bits to information with learning machines: theory and applications;transformation-invariant filtering using expectation maximization;array phonocardiography;physics-based signal processing in the presence of environmental model uncertainties;a reproducing kernel Hilbert space (RKHS) approach to the optimal modeling, identification, and design of nonlinear adaptive systems;approximate value iteration and temporal-difference learning;adaptive classification;multiple transmit and receive antenna diversity techniques for wireless communications;a review of matched and adaptive subspace detectors;block methods for channel identification and source separation;and decomposition algorithms for analyzing brain signals.
Fuzzy logic or fuzzy set theory has been given greater emphasis in controlapplications in recent times. A controlled power converter fed-motor has, in general, a complex and nonlinear model. The model suffers from pr...
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ISBN:
(纸本)0780366069
Fuzzy logic or fuzzy set theory has been given greater emphasis in controlapplications in recent times. A controlled power converter fed-motor has, in general, a complex and nonlinear model. The model suffers from problems of parameter variation and supply frequency deviation. The fuzzy controller takes care of the nonlinear operating conditions of the converter. Hence an 8097 microcontroller based fuzzy PI controller is designed and implemented for a power converter-fed DC motor. The converter works satisfactorily under supply frequency variations and load disturbances.
Min-max control is a robust control, which guarantees stability in the presence of matched uncertainties. The basic min-max control is a static state feedback law. Recently, the applicability conditions of discrete st...
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Min-max control is a robust control, which guarantees stability in the presence of matched uncertainties. The basic min-max control is a static state feedback law. Recently, the applicability conditions of discrete static min-max control through the output have been derived. In this paper, the results for output static min-max control are further extended to a class of output dynamic min-max controllers, and a general parametrization of all such controllers is derived. The dynamic output min-max control is shown to exist in many circumstances under which the output static min-max control does not exist, and usually allows for broader bounds on uncertainties. Another family of robust output min-max controllers, constructed from an asymptotic observer which is insensitive to uncertainties and a state min-max control, is derived. The latter is shown to be a particular case of the dynamic min-max control when the nominal system has no zeros at the origin. In the case where the insensitive observer exists, it is shown that the observer-controller has the same stability properties as those of the full state feedback min-max control.
This paper presents the application of a Discrete Adaptive observer (DAO) to an IBM Head/Disk Assembly System. Because of the difficulties in tuning, a genetic algorithm is implemented off-line to obtain optimal obser...
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This paper presents the application of a Discrete Adaptive observer (DAO) to an IBM Head/Disk Assembly System. Because of the difficulties in tuning, a genetic algorithm is implemented off-line to obtain optimal observer parameters for the DAO. Simulations show that the genetic algorithm is successful in choosing appropriate observer gains. Furthermore, as a result of these optimal gains, the observer state and parameter estimates converge accurately and quickly.
The matrix-vector approach to computational color allows easy application of the theory of digital signal processing (DSP). The applications demonstrated to date include color correction, color filter design, and impr...
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The matrix-vector approach to computational color allows easy application of the theory of digital signal processing (DSP). The applications demonstrated to date include color correction, color filter design, and improved interpolation and extrapolation methods. Combined with the power of new commercial software, higher computational speed of personal computers, and the availability of regional supercomputing centers, practical optimization problems involving nonlinear transformations such as CIELab can be solved in a short time. In addition to more common DSP methods, results in fuzzy logic and neural nets which have been applied to signal processing and control problems, can also be easily applied to computational color. Fuzzy set theory allows the natural inclusion of uncertainty in a color problem, for example the variation of individual observers from the CIE standard observer. Neural nets can be used to characterize processes for which there are no adequate mathematical models. These capabilities are of particular interest in the determination of the visual effects of the new fluorescent lamps which have recently been introduced.
This paper discusses a method, based on complete linearization, combining a nonlinear state observerdesign for non-linear system. By applying the scheme to a polymeric reaction process, the simulation results show th...
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ISBN:
(纸本)0818673524
This paper discusses a method, based on complete linearization, combining a nonlinear state observerdesign for non-linear system. By applying the scheme to a polymeric reaction process, the simulation results show that it has not only good tracking ability and convergence but also better parameter robustness.
This paper discusses a method, based on complete linearization, combining a nonlinear state observerdesign for nonlinear system. By applying the scheme to a polymeric reaction process, the simulation results show tha...
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This paper discusses a method, based on complete linearization, combining a nonlinear state observerdesign for nonlinear system. By applying the scheme to a polymeric reaction process, the simulation results show that it has not only good tracking ability and convergence but also better parameter robustness.
This paper deals with the design of a nonlinearobserver for the inverted pendulum. The observer uses the standard structure of the linear observer with the linear model replaced by a nonlinear model. Nominal observer...
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This paper deals with the design of a nonlinearobserver for the inverted pendulum. The observer uses the standard structure of the linear observer with the linear model replaced by a nonlinear model. Nominal observer gains are determined from a linearised model. This model is also used to find a compromise between robustness and performance. The stability of the observer is then discussed and conditions for the stability of the observer are given. The results are illustrated by simulation and experiments on a real pendulum.
This paper deals with the observability and observerdesign of a certain class of reactors which are globally asymptotically feedback stabilizable. We show how to design two types of high gain observers: a Luemberger-...
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This paper deals with the observability and observerdesign of a certain class of reactors which are globally asymptotically feedback stabilizable. We show how to design two types of high gain observers: a Luemberger-like high gain observer and a high gain extended Kalman filter. Results of convergence of these estimators follow from our observability analysis. We prove that the nonlinear feedback controller using these high-gain observers stabilize such reactors. In fact, we develop an observer-based control structure for a nonlinear model of batch reactors. We give two examples of such reactors that correspond to strongly connected networks and that have zero deficiency.
Adaptive systems have been exported to electronic applications, especially to telecommunications circuitry. The exported theory is mainly based on recursive or iterative methods. Continuous-time adaptive systems have ...
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ISBN:
(纸本)0080417175
Adaptive systems have been exported to electronic applications, especially to telecommunications circuitry. The exported theory is mainly based on recursive or iterative methods. Continuous-time adaptive systems have been scarcely used for Electronic design, especially for Consumer Electronics, a field with a primary industrial interest. At present, much theory has been developed and many problems related with the application of this theory have been studied: this makes possible to export their results to industrial consumer electronics field with full confidence. After a revision of the state-of-the-art, three well-known electronic circuits (audio power amplifiers) with different complexity are selected and analyzed in order to experiment applications of adaptive systems. Both Lyapunov and Hyperstability based theories (from reduced order models) are studied and an alternative to the classical electronic design is proposed. The performances of different adaptive structures are experimentally evaluated. Finally, some conclusions obtained either from physical implementation of the chosen adaptive systems or from the interpretation of experimental results are presented.
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