Many fundamental problems in the max-plus-algebraic system theory for discrete event systems - among which the minimal state space realization problem - can be solved using an Extended Linear Complementarity Problem (...
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Many fundamental problems in the max-plus-algebraic system theory for discrete event systems — among which the minimal state space realization problem — can be solved using an Extended Linear Complementarity Problem...
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Many fundamental problems in the max-plus-algebraic system theory for discrete event systems — among which the minimal state space realization problem — can be solved using an Extended Linear Complementarity Problem (ELCP). We present some new, more efficient methods to solve the ELCP. We show that an ELCP with a bounded feasible set can be recast as a standard Linear Complementarity Problem (LCP). Our proof results in three possible numerical solution methods for a given ELCP: regular ELCP algorithms, mixed integer linear programming algorithms, and regular LCP algorithms. We also apply these three methods to a basic max-plus-algebraic benchmark problem.
The paper addresses the problem of design of a robust controller for a class of non linear uncertain systems to guarantee the prescribed decay rate of exponential stability. The polytope type bounded deterministic unc...
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The paper addresses the problem of design of a robust controller for a class of non linear uncertain systems to guarantee the prescribed decay rate of exponential stability. The polytope type bounded deterministic uncertainties are considered both in a studied system and its input part. The proposed approach does not employ matching conditions.
A new concept genetic algorithm has been implemented and tested for the use in the particle tracking velocimetry. The algorithm is applicable to relatively large numbers of particles with relatively high degrees of di...
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A new concept genetic algorithm has been implemented and tested for the use in the particle tracking velocimetry. The algorithm is applicable to relatively large numbers of particles with relatively high degrees of distribution density. This is mainly due to a new fitness function as well as unique genetic operations devised especially for the purpose of a particle pairing problem. The new fitness function is based on the relaxation of movement of a group of particles and is particularly suited for an increased density of particle images. The new genetic operations give rise to concentration of 'good' genes in a limited part of the gene strings and prevent them from being destroyed in the crossover and mutation processes. Another merit of the new algorithm is the genetic encoding scheme which can deal with all the possible concerns of the particle pairing problem, typical of which is the existence of unpaired particles.
Recent years has seen much progress in the theory and application of iterative learning control schemes for both linear and (classes of) nonlinear dynamics. In the case of the former, many algorithms based on minimizi...
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Recent years has seen much progress in the theory and application of iterative learning control schemes for both linear and (classes of) nonlinear dynamics. In the case of the former, many algorithms based on minimizing a suitable cost function have been reported. Here the interest is in the so-called norm optimal approach where the basic philosophy is to compute the control input on the current trial such that the tracking error is reduced in an optimal way without too much deviation from the control input used on the previous trial. This paper compares the performance of a range of controllers arising from use of the norm optimal approach - both stand alone and against alternatives.
Repetitive processes are a distinct class of 2D systems of both theoretical and applications interest. They are characterized by a series of sweeps through a set of dynamics with explicit interaction between the outpu...
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Repetitive processes are a distinct class of 2D systems of both theoretical and applications interest. They are characterized by a series of sweeps through a set of dynamics with explicit interaction between the outputs, or pass profiles, produced on successive passes. Their essential unique features are that (i) information propagation is over a finite duration in one of the two separate directions of information propagation; and (ii) the explicit interaction between successive pass profiles can lead to oscillations in the sequence of pass profiles that increase in amplitude in the pass to pass direction. In the case of processes with linear dynamics (either differential or discrete) a reasonably rich systems theory is available for models which are standard (or nonsingular). In this paper, we provide the first substantial results on discrete linear repetitive processes described by a singular state space model.
The paper addresses the design of a robust controller with output feedback for uncertain linear systems in the time domain. The necessary and sufficient conditions for static output feedback stabilizability of linear ...
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The paper addresses the design of a robust controller with output feedback for uncertain linear systems in the time domain. The necessary and sufficient conditions for static output feedback stabilizability of linear continuous and discrete time systems are the basis for the proposed robust controller design procedure. The proposed approach does not employ matching conditions.
The paper addresses the design of a robust controller with output feedback for parametric uncertain linear systems in the time domain. The necessary and sufficient conditions for static output feedback stabilizability...
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The paper addresses the design of a robust controller with output feedback for parametric uncertain linear systems in the time domain. The necessary and sufficient conditions for static output feedback stabilizability of linear continuous and discrete time systems are the basis for the proposed robust controller design procedure. The proposed approach does not employ matching conditions.
Behaviour of a group of robots controlled by agent oriented programming. Group knowledge, one and multi-generational goals, individual and group experience, individual goals versus group mission, organization of exper...
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Behaviour of a group of robots controlled by agent oriented programming. Group knowledge, one and multi-generational goals, individual and group experience, individual goals versus group mission, organization of experience transmittion, multi-level model of the agents’ environment.
作者：
Neil MunroControl Systems Centre
Dept. of Electrical Engineering and Electronics University of Manchester Institute of Science and Technology Manchester England Fax: +44 161 2004647
Several tools for linear model manipulation, model-order reduction, analysis, and the design/synthesis of controlsystems, developed using Mathematica, are presented. New control objects have been introduced in the fr...
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Several tools for linear model manipulation, model-order reduction, analysis, and the design/synthesis of controlsystems, developed using Mathematica, are presented. New control objects have been introduced in the framework of Mathematica's control System Professional package, with several new associated transformations and model format manipulations. A quasi-generalised singular perturbation model-order reduction method has been implemented, and some interesting observations on appropriate pole assignment algorithms for use with system models containing symbols are reported. Tools for the analysis of systems with parametric uncertainty, and some recent results on the systematic design of PID controllers are considered.
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