作者:
Hu, JChu, JSu, HZhejiang Univ
Inst Adv Proc Control Natl Lab Ind Control Technol Hangzhou 310027 Peoples R China
A sliding-mode control approach is proposed for a class of uncertain time-delay systems with mismatching uncertainties. It is based on the linear matrix inequality technique and the sliding-mode variable structure con...
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A sliding-mode control approach is proposed for a class of uncertain time-delay systems with mismatching uncertainties. It is based on the linear matrix inequality technique and the sliding-mode variable structure control method. A simulation study for a numerical example is given to illustrate the effectiveness of this approach in control design.
The H-infinity control problem for uncertain descriptor systems with time-invariant norm-bound uncertainty in the state matrix is considered. Necessary and sufficient conditions for robust H-infinity control of descri...
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The H-infinity control problem for uncertain descriptor systems with time-invariant norm-bound uncertainty in the state matrix is considered. Necessary and sufficient conditions for robust H-infinity control of descriptor systems by state feedback and dynamic output feedback are derived. The design results are expressed in terms of generalised algebraic Riccati inequalities, which may be considered an extension of results given in recent literature. Explicit formulae for controllers which solve the corresponding problems are provided. The generalised algebraic Riccati inequalities approach used is based on a version of the bounded real lemma for descriptor systems, thus making the given proofs simpler.
The problem of approximating the solution of infinite linear systems finitely expressed by a sparse coefficient matrix in block Hessenberg form is considered. The convergence of the solutions of a sequence of truncate...
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The problem of approximating the solution of infinite linear systems finitely expressed by a sparse coefficient matrix in block Hessenberg form is considered. The convergence of the solutions of a sequence of truncated problems to the infinite problem solution is investigated A family of algorithms, some of which are adaptive, is introduced, based on the application of the Gauss-Seidel method to a sequence of truncated problems of increasing size n(i) with non-increasing tolerance 10(-ti). These algorithms do not require special structural properties of the coefficient matrix and they differ in the way the sequences {n(i)} and {t(i)} are generated. The testing has been performed on both infinite problems arising from the discretization of elliptical equations on unbounded domains and stochastic problems arising from queueing theory. Extensive numerical experiments permit the evaluation of the various strategies and suggest that the best trade-off between accuracy and computational cost is reached by some of the adaptive algorithms. (C) 2000 Elsevier Science Inc. All rights reserved. AMS classification: 65F10;65N22;60K25.
The paper considers the problem of LQ regulator design for discrete-time systems with actuator failures. The problem is to design a reliable LQ state feedback regulator which can tolerate actuator failures, such that ...
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The paper considers the problem of LQ regulator design for discrete-time systems with actuator failures. The problem is to design a reliable LQ state feedback regulator which can tolerate actuator failures, such that the cost of the system is guaranteed to be within a certain bound. The state feedback control design for guaranteed cost control is given in terms of solution to an algebraic Riccati equation. The resulting control system is reliable, in that it provides guaranteed asymptotic stability despite some actuator failures. A numerical example shows the effectiveness of the method.
This paper describes the design of a high-performance linearalgebra library for Java. linearalgebra libraries such as ESSL and LAPACK are important tools of computational science and engineering, and have been avail...
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ISBN:
(纸本)1581132883
This paper describes the design of a high-performance linearalgebra library for Java. linearalgebra libraries such as ESSL and LAPACK are important tools of computational science and engineering, and have been available to C and Fortran programmers for quite a while. If Java is to become a serious language for the development of large scale numericalapplications, it must provide equivalent functionality. From the many possible alternatives to accomplish this goal, we took the approach of designing a linearalgebra library entirely in Java. This approach leads to good portability and maintainability of the code. It is also a good test of how far we can push Java performance. We adopted an object-oriented design in which the linearalgebra operations are implemented as strategy design patterns. The higher level algorithms, optimized for the memory hierarchies of present-day machines, are described in a type independent manner. Type specific methods capture the lower level optimizations for operations on matrices of single-precision, double-precision, or complex numbers. We evaluate the performance of our linearalgebra package on three different machines. Our preliminary results show that our Java library achieves up to 85% of the performance of the highly optimized ESSL.
We consider preconditioning strategies for the iterative solution of dense complex symmetric non-Hermitian systems arising in computational electromagnetics. We consider in particular sparse approximate inverse precon...
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We consider preconditioning strategies for the iterative solution of dense complex symmetric non-Hermitian systems arising in computational electromagnetics. We consider in particular sparse approximate inverse preconditioners that use static non-zero pattern selection. The novelty of our approach comes from using a different non-zero pattern selection procedure for the original matrix from that for the preconditioner and from exploiting geometric or topological information from the underlying meshes instead of using methods based on the magnitude of the entries. The numerical and computational efficiency of the proposed preconditioners are illustrated on a set of model problems arising both from academic and from industrial applications. The results of our numerical experiments suggest that the new strategies are viable approaches for the solution of large-scale electromagnetic problems using preconditioned Krylov methods. In particular, our strategies are applicable when fast multipole techniques are used for the matrix-vector product on parallel distributed memory computers. Copyright (C) 2000 John Wiley & Sons, Ltd.
We describe and test a software approach to overcoming radiation-induced errors in spaceborne applications running on commercial off-the-shelf components. The approach uses checksum methods to validate results returne...
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ISBN:
(纸本)0769507077
We describe and test a software approach to overcoming radiation-induced errors in spaceborne applications running on commercial off-the-shelf components. The approach uses checksum methods to validate results returned by a numerical subroutine operating subject to unpredictable errors in data. We can treat subroutines that return results satisfying a necessary condition having a linear form;the checksum tests compliance with this condition. We discuss the theory and practice of setting numerical tolerances to separate errors caused by a fault from those inherent infinite-precision numerical calculations. We test both the general effectiveness of the linear fault tolerant schemes we propose, and the correct behavior of our parallel implementation of them.
This Volume 5 of 5 of the conference proceedings contains 196 papers. Topics discussed include optimization, robust stability analysis, numericalmethods in control, filtering in stochastic systems, signal processing,...
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This Volume 5 of 5 of the conference proceedings contains 196 papers. Topics discussed include optimization, robust stability analysis, numericalmethods in control, filtering in stochastic systems, signal processing, fault detection and analysis, nonlinear time delay systems, nonlinear control, disturbance rejection, process control industry applications, linear parameter varying systems, linear control systems, dynamic and nonlinear programming, model reduction applications, hidden Markov models, linear design, ambulatory robot systems, chaotic and oscillatory systems, biomedical system control, CPU scheduling, adaptive disturbance, noise compensation, sensitivity design, analysis and limitations, robotics, tracking control, Lagrangian and Hamiltonian theory, variable structure control, machine vision and applied nonlinear control.
In this paper the minimum propellant optimal maneuvers of space vehicles equipped with low-thrust propulsion installation near the libration points in the Earth-moon system are examinated. The variational problem for ...
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We present a theory for reduced-order modelling of linear time-varying systems, together with efficient numericalmethods for application to large systems. The technique, called TVP (Time-Varying Padé), is applic...
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