Based on a complete parametric approach for eigenstructure assignment in descriptor linear systems via output feedback, disturbance decoupling using output feedback in descriptor linear systems is investigated. Both t...
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ISBN:
(纸本)0780366387
Based on a complete parametric approach for eigenstructure assignment in descriptor linear systems via output feedback, disturbance decoupling using output feedback in descriptor linear systems is investigated. Both the dynamical and static disturbance decoupling problems are tackled. Necessary and sufficient conditions for both problems are proposed in terms of the closed-loop eigenvalues and eigenvectors. By arranging these conditions into constraints on the design parameters provided by eigenstructure assignment, the disturbance decoupling problems are converted into eigenstructure assignment problems with extra parameter constraints. The approach guarantees closed-loop regularity, offers certain flexibility and can provide all the degrees of design freedom. An example is investigated to show the effect of the proposed approach.
Based on a recently proposed parametric approach for eigenstrueture assignment in descriptor linear systems via output feedback, the robust eigenvalue assignment problem in descriptor linear systems via output feedbac...
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Based on a recently proposed parametric approach for eigenstrueture assignment in descriptor linear systems via output feedback, the robust eigenvalue assignment problem in descriptor linear systems via output feedback is solved. The problem aims to assign a set of finite closed-loop eigenvalues which have minimum sensitivities with respect to perturbations in the closed-loop coefficient matrices, while at the same time, guarantee the closed-loop regularity. The approach optimizes the design parameters existing in the closed-loop eigenvectors to achieve the minimum eigenvalue sensitivities, and use the extra degree of freedom existing in the solution ofthe gain matrix to further minimize the magnitude ofthe gain matrix and enhance the robustness ofthe closed-loop regularity. The approach allows the finite closed-loop eigenvalues to be optimized within desired regions, and is demonstrated to be simple and effective.
This paper proposes a simple approach for disturbance attenuation in the designs of Luenberger function observers for multi variable linear systems. The basic idea is to minimise the H 2 norm of the transfer function ...
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This paper proposes a simple approach for disturbance attenuation in the designs of Luenberger function observers for multi variable linear systems. The basic idea is to minimise the H 2 norm of the transfer function from disturbance to estimation error using the design freedom provided by a parametric approach for Luenberger observer design. Besides the design parameters, the observer poles are also optimised within desired regions on the left-half complex plane. With the proposed approach, additional specifications can be easily achieved.
A complete parametric design approach for proportional-integral observers of multivariable discrete-time linear systems is proposed based on eigenstructure assignment technique. Complete parameterizations for all the ...
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A complete parametric design approach for proportional-integral observers of multivariable discrete-time linear systems is proposed based on eigenstructure assignment technique. Complete parameterizations for all the observer gains as well as the eigenvector matrix of the observer system matrix are established in terms of three sets of design parameters which satisfy three basic and simple constraints. The proposed approach provides all the degrees of freedom and has great potential in applications. An illustrative example shows the effect ofthe proposed approach.
Nonlinear sliding m ode predictive controller is designed for a class of nonlinear system w ith unm odeled dynam ic characteristics and nonlinear term . The m ethod is based on nonlinear opti- m alpredictive control...
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Nonlinear sliding m ode predictive controller is designed for a class of nonlinear system w ith unm odeled dynam ic characteristics and nonlinear term . The m ethod is based on nonlinear opti- m alpredictive control. The variable structure controllaw m inim izes the quadratic index ofa predic- tive sliding m ode, w hich contains thecostfunction ofcontrolpreventing the controleffectfrom satu- ration for in m ostpracticalim plem entation the controlinputs are bounded by physicalconstraints and energy constraints. According to the im m easurable states, the variable structure observer for nonlin- ear system sisadapted. The variablestructure system m ethod isaptto therealization ofobserverw ith variable param eters and uncertainty. The proofshow s thatthe states ofthe observer asym ptotically convergence to the realstates ofthe system although itisofuncertainty and nonlinear term s. Final- ly, the digitalsim ulation results prove the effectiveness ofthe proposed m ethod.
A complete parametric approach is proposed for eigenstructure assignment in descriptor linear systems via output feedback, which assigns arbitrary rank(E) finite relative eigenvalues to the closed-loop system and guar...
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A complete parametric approach is proposed for eigenstructure assignment in descriptor linear systems via output feedback, which assigns arbitrary rank(E) finite relative eigenvalues to the closed-loop system and guarantees the closed-loop regularity. General parametric expressions for the normalized left and right closed-loop eigenvector matrices are obtained on the basis of a recent parametric solution for the generalized Sylvester matrix equation. These expressions contain two groups of parameter vectors which represent the degree of freedom existing in the solution of the closed-loop eigenvectors. A pair of general complete expressions for the output feedback gain is also presented, containing the part of parameter vectors existing in the closed-loop eigenvectors and another extra two parameter matrices. The sub-conventional case is especially treated, in which there exists a one-to-one mapping relation between the closed-loop eigenvector matrices and the output feedback gain. This approach does not impost any restriction on the closed-loop eigenvalues, but generalizes and improves some of the existing results. An illustrative example shows the effect of the proposed approach.
An optimal guidance law based on missile-target line-of-sight (LOS) angular rate is presented for intercepting a nonmaneuvering target. It is then integrated with sliding-mode controltheory by using reaching-law of s...
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An optimal guidance law based on missile-target line-of-sight (LOS) angular rate is presented for intercepting a nonmaneuvering target. It is then integrated with sliding-mode controltheory by using reaching-law of sliding-mode, in order to derive an optimal sliding-mode guidance law for intercepting a maneuvering target. The new guidance method's robustness against target maneuvers and good miss distance performance are proved by the second method of Lyapunov and simulation results. The presented guidance law is simple to implement in practical applications.
This paper sums up the research situation. At the influence of friction, a simulator exists the phenomenon of low-speed stick-slip. The character of low-speed of simulator is affected seriously. According to the phase...
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This paper sums up the research situation. At the influence of friction, a simulator exists the phenomenon of low-speed stick-slip. The character of low-speed of simulator is affected seriously. According to the phase plane method, algebra analyzing method and Lyapunov theory, the paper gives a criterion about overcoming low-speed stick-slip. Making use of the criterion, we can conclude the relationship between system parameters and low-speed stick-slip, and determine the condition where the parameters of PID controller should satisfy, for the purpose of overcoming low-speed stick-slip and has not the phenomenon of low-speed stick-slip. This method is simple and easy to carry out and the experiments show that the condition is correct.
This paper presents a method of friction compensation based on improved performance model reference adaptive control when partial friction model parameters are considered to be known. First, against the effect of nonl...
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ISBN:
(纸本)0780350383
This paper presents a method of friction compensation based on improved performance model reference adaptive control when partial friction model parameters are considered to be known. First, against the effect of nonlinear friction to servo systems, a set of nominal friction model and system model parameters are obtained by suitable experiment design. Then, a friction compensation controller based on model reference adaptive control is synthesized when running conditions and variation of environment are considered. Finally, simulation studies are performed against the above method. The results indicate that this controller enhances the system performance.
In this paper a framework for an intelligent sensor with real-time diagnosis and rectification is proposed. It is based on the combination of recurrent neural networks and the information fusion technique. The archite...
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In this paper a framework for an intelligent sensor with real-time diagnosis and rectification is proposed. It is based on the combination of recurrent neural networks and the information fusion technique. The architecture is constructed to perform sensor detection, isolation and accommodation, along with description of recurrent neural networks and multisensory information fusion. Simulation results show good performance on the application to some type airplane.
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