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Titlebook: Control Systems Theory and Applications for Linear Repetitive Processes; Eric Rogers,Krzysztof Galkowski,David H. Owens Book 2007 Springer

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Versuche zur Nervenphysiologie, memory case) and the resulting design algorithms fall, in the main, into two general classes. The first of these execute the design using Linear Matrix Inequalities and the second by minimizing a suitably formulated cost function.
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,Die Verkehrspunkte, — Siedlungen, norm optimal approach is developed and an experimental verification on a chain conveyor system described. Finally, some highly promising results on robust control are obtained and experimentally verified on a gantry robot system.
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Book 2007rther applications of the abstract model based stability theory which, in particular, shows the critical importance to the dynamics developed of the structure of the initial conditions at the start of each new pass, the development of stability tests and performance bounds in terms of so-called 1D a
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W. v. Buddenbrock,G. v. Studnitzcriptions of Chap. 1. Finally, a behavioral approach is used to define poles and zeros for these processes which, in contrast to those in the 2D/nD systems literature, have interpretations in terms of the existence of exponential trajectories in the dynamics, i.e. a natural generalization of the well known 1D linear systems case.
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Stability - Theory, Tests and Performance Bounds,the various forms of differential and discrete linear repetitive processes introduced in the previous chapter. Also the question of testing the resulting stability conditions is addressed by a number of routes. These lead in most cases to computationally feasible tests and, in one case of applicatio
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Lyapunov Equations for Discrete Processes, types of Lyapunov equation which, in common with the 2D systems literature, are termed 1D and 2D respectively. The key difference here is that in the latter case the matrices involved have constant entries whereas those in the former have entries which are functions of a complex variable. Moreover,
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