A weapon system consisting of a swarm of air vehicles whose mission is to search for, classify, attack, and perform battle damage assessment, is considered. It is assumed that the target field information is communica...
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A weapon system consisting of a swarm of air vehicles whose mission is to search for, classify, attack, and perform battle damage assessment, is considered. It is assumed that the target field information is communicated to all the elements of the swarm as it becomes available. A network flow optimization problem is posed whose readily obtained solution yields the optimum resource allocation among the air vehicles in the swarm. Hence, the periodic reapplication of the centralized optimization algorithm yields the benefit of cooperative feedback control.
In the paper,we exhibit the usefulness of nonlinearity in two aspects:analysis of nonlinear dynamics and nonsmooth feedback *** illustrative examples are given to show how the new bifurcation p
In the paper,we exhibit the usefulness of nonlinearity in two aspects:analysis of nonlinear dynamics and nonsmooth feedback *** illustrative examples are given to show how the new bifurcation p
Bluetooth is currently emerging as one of the most promising personal wireless network technologies. The automation industry is also showing interest in using Bluetooth for more industrial applications. However, probl...
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Bluetooth is currently emerging as one of the most promising personal wireless network technologies. The automation industry is also showing interest in using Bluetooth for more industrial applications. However, problems with unreliable links and time delays must be explicitly addressed in any wireless control application. This paper discusses two specific problems that may occur when using Bluetooth in a control loop: long random delays and bit errors. Simple solutions to these problems are presented. The ideas have been tried out, both in simulations and in experiments, on a rotating inverted pendulum controlled over a Bluetooth network.
This paper describes generalizations of the MUSIC and root-MUSIC algorithms for direction of arrival (DOA) estimation to arrays composed of multiple translated subarrays. The advantage of these new approaches is that ...
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This paper describes generalizations of the MUSIC and root-MUSIC algorithms for direction of arrival (DOA) estimation to arrays composed of multiple translated subarrays. The advantage of these new approaches is that the DOAs can be estimated using either a one-dimensional search or by rooting a polynomial, as opposed to a multidimensional search as required by the multiple invariance (MI)-ESPRIT algorithm. While MI-MUSIC and root-MI-MUSIC are not statistically efficient like MI-ESPRIT, they do perform better than a single invariance implementation of ESPRIT, and are thus better suited for finding the initial conditions required by the MI-ESPRIT search.
In this paper, a systematic design approach based on time-delay feedback is developed for chaotification of a continuous-time, feedback linearizable system. The chaotification is accomplished based on nonlinear contro...
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ISBN:
(纸本)0780364341
In this paper, a systematic design approach based on time-delay feedback is developed for chaotification of a continuous-time, feedback linearizable system. The chaotification is accomplished based on nonlinear control theory and an approximate relationship between a time-delay differential equation and a discrete map. An example is given to illustrate the systematic design procedure.
Proposes the mixed H/sub 2//H/sub /spl infin// controller design method with regional pole placements according to the 3 step guidance courses for underwater vehicle systems in horizontal motion and vertical motion, r...
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Proposes the mixed H/sub 2//H/sub /spl infin// controller design method with regional pole placements according to the 3 step guidance courses for underwater vehicle systems in horizontal motion and vertical motion, respectively. The change of hydrodynamics, time delays, and disturbances are considered as uncertainties of the system. The full nonlinear simulation including initial leveling part, guidance, autopilot, actuator, etc., shows that the proposed controllers are efficient in the sense of new strategy for underwater vehicle systems.
Tuning rules for PI and PID controllers for stable non oscillating plants are presented in this paper. These rules are based on an optimization procedure, where both low frequency performance, mid frequency stability ...
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Tuning rules for PI and PID controllers for stable non oscillating plants are presented in this paper. These rules are based on an optimization procedure, where both low frequency performance, mid frequency stability margins and high frequency control activity are taken into account. The required plant knowledge is typically the phase crossover frequency of the plant and the corresponding gain at this frequency, like in Ziegler Nichols frequency design method. Near optimal tuning rules are presented based on this knowledge and the plant low frequency gain, both for PI and PID controllers. Related results are also given for plants with very high or no phase crossover frequency at all.
Decomposing dynamical systems in terms of orthogonal expansions enables the modelling/approximation of a system with a finite length expansion. By flexibly tuning the basis functions to underlying system characteristi...
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Decomposing dynamical systems in terms of orthogonal expansions enables the modelling/approximation of a system with a finite length expansion. By flexibly tuning the basis functions to underlying system characteristics, the rate of convergence of these expansions can be drastically increased, leading to highly accurate models (small bias) being represented by few parameters (small variance). Additionally algorithmic and numerical aspects are favourable. A recently developed general theory for basis construction will be presented, that is a generalization of the classical Laguerre theory. The basis functions are applied in problems of identification, approximation, realization, uncertainty modelling, and adaptive filtering, particularly exploiting the property that basis function models are linearly parametrized. Besides powerful algorithms, they also provide useful analysis tools for understanding the underlying identification/approximation algorithms.
A new interpretation has been given to model reduction by the method of balanced realizations, which shows that it can be regarded as a type of aggregation method. This enables a user to retain the conceptual advantag...
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The paper presents a new, general, inverse-model/output-zeroing approach to zeros of LTI discrete-time multivariable, possibly nonsquare systems. It is shown on simple examples that the existing definitions of multiva...
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The paper presents a new, general, inverse-model/output-zeroing approach to zeros of LTI discrete-time multivariable, possibly nonsquare systems. It is shown on simple examples that the existing definitions of multivariable zeros fail to detect certain important zeros which contribute to zeroing the system output. As a result, a concept of 'control zeros' is introduced, followed by a general redefinition of minimum/nonminimum phase systems, both new contributions being based on the notion of (generalized) inverse systems. Output-zeroing/inversemodel/minimum-variance control-related justifications of the new approach are presented.
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