112,901 research outputs found

    Control and Filtering for Discrete Linear Repetitive Processes with H infty and ell 2--ell infty Performance

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    Repetitive processes are characterized by a series of sweeps, termed passes, through a set of dynamics defined over a finite duration known as the pass length. On each pass an output, termed the pass profile, is produced which acts as a forcing function on, and hence contributes to, the dynamics of the next pass profile. This can lead to oscillations which increase in amplitude in the pass to pass direction and cannot be controlled by standard control laws. Here we give new results on the design of physically based control laws for the sub-class of so-called discrete linear repetitive processes which arise in applications areas such as iterative learning control. The main contribution is to show how control law design can be undertaken within the framework of a general robust filtering problem with guaranteed levels of performance. In particular, we develop algorithms for the design of an H? and 2\ell_{2}–\ell_{\infty} dynamic output feedback controller and filter which guarantees that the resulting controlled (filtering error) process, respectively, is stable along the pass and has prescribed disturbance attenuation performance as measured by HH_{\infty} and 2\ell_{2}\ell_{\infty} norms

    H∞ and L2–L∞ filtering for two-dimensional linear parameter-varying systems

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    This is the post print version of the article. The official published version can be obtained from the link below - Copyright 2007 Wiley-BlackwellIn this paper, the H∞ and l2–l∞ filtering problem is investigated for two-dimensional (2-D) discrete-time linear parameter-varying (LPV) systems. Based on the well-known Fornasini–Marchesini local state-space (FMLSS) model, the mathematical model of 2-D systems under consideration is established by incorporating the parameter-varying phenomenon. The purpose of the problem addressed is to design full-order H∞ and l2–l∞ filters such that the filtering error dynamics is asymptotic stable and the prescribed noise attenuation levels in H∞ and l2–l∞ senses can be achieved, respectively. Sufficient conditions are derived for existence of such filters in terms of parameterized linear matrix inequalities (PLMIs), and the corresponding filter synthesis problem is then transformed into a convex optimization problem that can be efficiently solved by using standard software packages. A simulation example is exploited to demonstrate the usefulness and effectiveness of the proposed design method

    Brief von H. L. Schollick an Josef Steindl

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    BRIEF VON H. L. SCHOLLICK AN JOSEF STEINDL Brief von H. L. Schollick an Josef Steindl ([1]) Brief ([1]) Brief von H. L. Schollick an Harry Braverman ([3]

    Brief von H. L. Schollick an Kurt Rothschild

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    BRIEF VON H. L. SCHOLLICK AN KURT ROTHSCHILD Brief von H. L. Schollick an Kurt Rothschild ([1]

    Brief von H. L. Schollick an Josef Steidl

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    BRIEF VON H. L. SCHOLLICK AN JOSEF STEIDL Brief von H. L. Schollick an Josef Steidl ([1]

    Brief von H. L. Schollick an Josef Steindl

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    BRIEF VON H. L. SCHOLLICK AN JOSEF STEINDL Brief von H. L. Schollick an Josef Steindl ([1]

    Brief von H. L. Schollick an Josef Steindl

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    BRIEF VON H. L. SCHOLLICK AN JOSEF STEINDL Brief von H. L. Schollick an Josef Steindl ([1]

    Brief von H. L. Schollick an Josef Steindl

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    BRIEF VON H. L. SCHOLLICK AN JOSEF STEINDL Brief von H. L. Schollick an Josef Steindl ([1]

    Brief von H. L. Schollick an Josef Steindl

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    BRIEF VON H. L. SCHOLLICK AN JOSEF STEINDL Brief von H. L. Schollick an Josef Steindl ([1]
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