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Robust identification of linear parameter varying systems
Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251), 1999We study the robust identification problem for a special class of linear parameter varying systems, when it is assumed that there is only one varying parameter and all the states of the system under identification can be measured. We consider a worst-case approach, i.e., we look for a set of models in a class of systems defined a priori, which could ...
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Subspace identification of multivariable linear parameter-varying systems
Automatica, 2002A subspace identification method is discussed. It deals with multivariable linear parameter-varying state-space systems with affine parameter dependence. To overcome the problem of exponential increase in the number of rows of the data matrices, a selection procedure for reducing their numbers is proposed.
Verdult, Vincent, Verhaegen, Michel
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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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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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Linear, Parameter Varying Model Reduction for Aeroservoelastic Systems
AIAA Atmospheric Flight Mechanics Conference, 2012This paper applies a model reduction method for linear parameter-varying (LPV) systems based on parameter-varying balanced realization techniques to a body freedom utter (BFF) vehicle. The BFF vehicle has a coupled short period and rst bending mode with additional structural bending and torsion modes that couple with the rigid body dynamics.
Claudia Moreno, Peter Seiler, Gary Balas
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Recursive subspace identification of linear parameter-varying systems
2012 American Control Conference (ACC), 2012In this paper, a recursive algorithm for blackbox identification of linear parameter-varying (LPV) systems is proposed. The algorithm belongs to the class of subspace identification methods and is based on an existing LPV subspace identification algorithm with block-processing, which is modified and extended to the recursive estimation scenario.
M. Buchholz, S. Werner
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Identification of linear parameter-varying systems via LFTs
Proceedings of 35th IEEE Conference on Decision and Control, 2002This paper considers the identification of linear parameter-varying (LPV) systems having linear-fractional parameter dependence. We present a natural prediction error method, using gradient- and Hessian-based nonlinear optimization algorithms to minimize the cost function.
L.H. Lee, K. Poolla
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A Converse Lyapunov Theorem for Linear Parameter-Varying and Linear Switching Systems
SIAM Journal on Control and Optimization, 2005The author is interested in time varying linear systems with the structure \[ \dot x=A\bigl(\theta(t)\bigr),\quad x\in\mathbb{K}^n \] where \(\mathbb{K}=\mathbb{R}\) or \(\mathbb{C}\). Here, \(\theta(t)\) is an admissible parameter variation, meaning that \(\theta(t)\) is piecewise absolutely continuous with dwell time (i.e., length of the time ...
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Distributed control for distributed linear parameter varying systems
Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2001Considers stability analysis and performance control for distributed systems with time and spatial varying parameters. The distributed linear parameter-varying (LPV) system depends on the parameters in linear fractional transformation form. The parameters are assumed measurable in real-time for controller use.
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
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