An approach to designing algorithms for confining constraints within the aircraft control trajectory is elaborated on the basis of geometric transformations in three-dimensional state space. algorithms are designed to...
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An approach to designing algorithms for confining constraints within the aircraft control trajectory is elaborated on the basis of geometric transformations in three-dimensional state space. algorithms are designed to confine the constraints for airborne control complexes and adaptive to the current coordinate-parametric state of the object and configuration of the constraining surface. Formulas for computing the aircraft position angles in space during maneuvers to veer off from the constraining surface are derived. The veer-off trajectory is realized by direct optimization tools and algorithms. An example is given to illustrate to veer off from surface of a paraboloid of rotation.
An efficient optimization strategy for the design of diffractive optical elements that is based on rigorous diffraction theory is described. The optimization algorithm combines diffraction models of different degrees ...
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An efficient optimization strategy for the design of diffractive optical elements that is based on rigorous diffraction theory is described. The optimization algorithm combines diffraction models of different degrees of accuracy and computational complexity. A fast design algorithm for diffractive optical elements is used to yield estimates of the optimum surface profile based on paraxial diffraction theory. These estimates are subsequently evaluated with a rigorous diffraction model. This scheme allows one to minimize the need to compute diffraction effects rigorously, while providing accurate design. We discuss potential applications of this scheme as well as details of an implementation based on a modified Gerchberg-Saxton algorithm and the finite-difference time-domain method. Illustrative examples are provided in which we use the algorithm to design Fourier array illuminators. (C) 2001 Optical Society of America.
A network source code is an optimal source code for a network. To design network source codes, we require each node to have a single encoder, which jointly encodes all messages transmitted by that node, and a single d...
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ISBN:
(纸本)0769510310
A network source code is an optimal source code for a network. To design network source codes, we require each node to have a single encoder, which jointly encodes all messages transmitted by that node, and a single decoder, which jointly decodes all messages arriving at that node. Given a distribution over the sources, the design of the network source code jointly optimizes all encoders and decoders to obtain the best performance with respect to a user-defined priority schedule over the rates and distortions of the system. In this paper we focus on fixed-rate codes and address the implementation of an existing design algorithm for optimal network vector quantizers. Implementing the design algorithm is not straightforward since each encoder must choose its reproduction based on the expected behavior of sources that are unknown to it. We describe a new implementation approach and demonstrate its performance on EI three-node network. In addition, we extend the design algorithm to allow the decoder at each node to use side information (specifically, the messages that are to be encoded by the encoder at the same node).
This paper presents a design algorithm of involving robust decoupled control of uncertain multivariable feedback systems. Two-degree-of-freedom system structure is adopted to handle the quantitative robustness and dec...
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This paper presents a design algorithm of involving robust decoupled control of uncertain multivariable feedback systems. Two-degree-of-freedom system structure is adopted to handle the quantitative robustness and decoupled performance requirements. Quantitative feedback theory is applied for loop compensator design to achieve quantitative robustness. A decoupled model matching approach is employed for prefilter design to achieve input-output decoupling performance Thus, the design method of two-degree-of-freedom compensators is proposed to achieve decoupled system control with quantitative robust performance. Since internal stability is satisfied this design method performs appropriately for any stable or unstable, minimum or nonminimum phase system. The AFTI/F-16 flight control system is considered as the design example to illustrate the design algorithm.
A neural network based predictive controller design algorithm is introduced for non-linear control systems. It is shown that the use of non-linear programming techniques can be avoided by using a set of affine non-lin...
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A neural network based predictive controller design algorithm is introduced for non-linear control systems. It is shown that the use of non-linear programming techniques can be avoided by using a set of affine non-linear predictors to predict the output of the non-linear process. The new predictive controller based on this design is both simple and easy to implement in practice. An on-line weight-learning algorithm for 9 neural networks is introduced, and convergence of both the weights and estimation errors is established. Predictive controller design based on the new procedure is illustrated using a growing network example.
In the framework of phase-shifting interferometry, the characteristic polynomial theory is extended to deal with nonlinear and nonuniform phase-shift miscalibration. A general procedure for designing algorithms that a...
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In the framework of phase-shifting interferometry, the characteristic polynomial theory is extended to deal with nonlinear and nonuniform phase-shift miscalibration. A general procedure for designing algorithms that are insensitive to those errors is presented. It is also shown how analytical expressions for the residual phase errors-can be obtained. Finally, it is demonstrated that the coefficients of any algorithm can be given a Hermitian symmetry. (C) 1998 Optical Society of America.
A nonlinear observer is considered for a class of continuous nonlinear descriptor systems subject to unknown inputs and faults. This class is partly characterized by globally Lipschitz nonlinearities, and a member sys...
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A nonlinear observer is considered for a class of continuous nonlinear descriptor systems subject to unknown inputs and faults. This class is partly characterized by globally Lipschitz nonlinearities, and a member system may be singular and possibly non-causal. The observer structure chosen makes it useful for both state estimation for feedback controls and residual generation for fault detection. Results on the existence of solutions are given and some useful bounds are derived which are important in the observer design, which is based on a transformed system and on the solution of a Riccati equation. The existence, convergence properties and robustness of the observer are investigated by the use of a quadratic Lyapunov function. Conditions are given for a bound to hold on the norm of the transfer function relating the residual error to the disturbance (linear case). A design algorithm is given and applied to the estimation of the states of a flexible joint robot.
This paper presents Luenberger observer-based H-x-compensator design methods for different nonstandard cases. These design methods are developed based on the bounded real lemma, and the resultant design algorithms are...
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This paper presents Luenberger observer-based H-x-compensator design methods for different nonstandard cases. These design methods are developed based on the bounded real lemma, and the resultant design algorithms are two Riccati inequalities which are not mutually coupled.
A new approach to control the speed and rotor flux of an induction motor using the theory of the sliding-mode is presented. Sabanovic's equations for an induction motor are first modified to a state space form sui...
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A new approach to control the speed and rotor flux of an induction motor using the theory of the sliding-mode is presented. Sabanovic's equations for an induction motor are first modified to a state space form suitable for the present design of the algorithm. For controlling the speed and rotor flux of the drive, a simple control algorithm is proposed based on the existence of a certain positive definite matrix. Lyapunov direct method is used to ensure the reaching and sustaining of sliding-mode. Obviation of flux measurement is achieved through manipulation of Stanley's equations. Simulation studies are conducted. The control algorithm exhibits excellent drive performance in the presence of load disturbances and stator and rotor resistances changes up to 100% of the nominal values.
The purpose of this paper is to introduce a new vector quantizer (VQ) for the compression of digital image sequences. Our approach unifies both efficient coding methods: a fast lattice encoding and an unbalanced tree-...
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ISBN:
(纸本)0780331222
The purpose of this paper is to introduce a new vector quantizer (VQ) for the compression of digital image sequences. Our approach unifies both efficient coding methods: a fast lattice encoding and an unbalanced tree-structured codebook design according to a distortion vs. rate tradeoff. This tree-structured lattices VQ (TSLVQ) is based on the hierarchical packing of embedded truncated lattices. So we investigate the design of the hierarchical set of truncated lattice structures which can be optimally embedded. We present the simple quantization procedure and describe the corresponding tree-structured codebook. Finally two unbalanced tree-structured codebook design algorithms based an the BFOS distortion vs. rate criterion are used.
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