Results 201 to 210 of about 13,562,447 (237)
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Adaptive estimation of time-varying parameters in linear systems
Proceedings of the 2003 American Control Conference, 2003., 2004Estimation of time-varying parameters via local polynomial approximations in linearly parameterized systems is considered. A strategy for approximating a time-varying parameter locally by a polynomial is given. The estimation time divided into small intervals; in each interval the time-varying parameter is approximated by a time polynomial with unknown
Yongliang Zhu, Prabhakar R. Pagilla
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Linear Parameter-Varying System Identification
2011This review volume reports the state-of-the-art in Linear Parameter Varying (LPV) system identification. Written by world renowned researchers, the book contains twelve chapters, focusing on the most recent LPV identification methods for both discrete-time and continuous-time models, using different approaches such as optimization methods for input ...
Lopes dos Santos, Paolo +4 more
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Embedding of Nonlinear Systems in a Linear Parameter-Varying Representation
IFAC Proceedings Volumes, 2014This paper introduces a systematic approach to synthesize linear parameter-varying (LPV) representations of nonlinear (NL) systems which are originally defined by control affine state-space representations. The conversion approach results in LPV state-space representations in the observable canonical form.
Abbas, Hossam S. +4 more
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Stabilizability of a linear parameter-varying system
Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251), 1999The stability of a linear parameter-varying plant for missile guidance with time invariant controllers is studied. It is shown that the stabilizability of the linear parameter-varying plant is guaranteed if its parameter-frozen plants are stabilized with the same controller under a reasonable assumption.
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Stability results for linear parameter varying and switching systems
Automatica, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
BLANCHINI, Franco +2 more
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Modeling and Identification of Linear Parameter-Varying Systems
2010This book aims to bridge the gap between Linear Parameter-Varying (LPV) modeling and control by investigating fundamental questions of modeling and identification. It explores missing details of LPV system theory that have hindered the formulation of a well established identification framework.
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Distributed control of linear parameter-varying decomposable systems
2013 American Control Conference, 2013This work presents a linear parameter-varying (LPV) approach to distributed control that extends the notion of decomposable systems to decomposable LPV systems. We provide results for the synthesis of distributed output-feedback LPV controllers for heterogeneously scheduled distributed LPV systems in linear fractional (LFT) representation.
Christian Hoffmann 0002 +2 more
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Geometric Theory and Control of Linear Parameter Varying Systems
2007 4th International Symposium on Applied Computational Intelligence and Informatics, 2007Linear Parameter Varying (LPV) systems appear in a form of LTI state space representations where the elements of the A(rho), B(rho), C(rho) matrices depend on an unknown but at any time instant measurable vector parameter rho isin V. This paper describes a geometric view of LPV systems. Geometric concepts and tools of invariant subspaces and algorithms
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Linear Parameter-Varying Control of Complex Mechanical Systems
IFAC Proceedings Volumes, 2014In standard linear fractional representation (LFR)-based linear parameter-varying (LPV) modeling the size of the (diagonal) scheduling block depends on the number of scheduling parameters and their repetitions, which in turn influences both the complexity of synthesis conditions and the computational load during online implementation of LPV controllers.
Hoffmann, Christian, Werner, Herbert
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Nonparametric methods for the identification of linear parameter varying systems
2008 IEEE International Conference on Computer-Aided Control Systems, 2008In this paper, we consider the identification of linear parameter varying (LPV) systems. By taking a nonparametric approach, we do not impose a priori parameterizations on the model structure, nor is it assumed that a natural parameterization is suggested from an analytical understanding of the underlying process. In this case, it is shown that the LPV
Kenneth Hsu +2 more
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