Results 221 to 230 of about 43,539 (241)
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2014
The goal of this chapter is to introduce the main ways for representing linear parameter-varying systems and emphasize their ability to represent a wide class of dynamical systems. A classification of the types of parameters regarding their mathematical properties and their physical meaning is also given.
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The goal of this chapter is to introduce the main ways for representing linear parameter-varying systems and emphasize their ability to represent a wide class of dynamical systems. A classification of the types of parameters regarding their mathematical properties and their physical meaning is also given.
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2010
All the theory that has been introduced so far has served the sole purpose of providing tools to formulate identification of general LPV systems in a wellestablished manner. Building on the developed tools, a widely applicable identification approach is proposed in this chapter by using model structures that originate from truncated OBF expansion ...
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All the theory that has been introduced so far has served the sole purpose of providing tools to formulate identification of general LPV systems in a wellestablished manner. Building on the developed tools, a widely applicable identification approach is proposed in this chapter by using model structures that originate from truncated OBF expansion ...
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LPV Series-Expansion Representations
2010In this chapter, series-expansion representations of LPV systems for a given IO partition are developed using the framework of the behavioral approach. In fact, expansion of DT asymptotically stable LPV systems is considered in terms of OBFs and the connection between this type of expansion and the gain-scheduling principle is explored.
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Finite-time switched LPV control of quadrotors with guaranteed performance
Journal of the Franklin Institute, 2021Liang Nie +4 more
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2014
This chapter first presents the main stability and instability results for general dynamical systems. These results are then further adapted to the analysis of linear parameter-varying systems in the generic, polytopic and LFT frameworks. Notably, the notions of quadratic and robust stability using quadratic Lyapunov functions are introduced.
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This chapter first presents the main stability and instability results for general dynamical systems. These results are then further adapted to the analysis of linear parameter-varying systems in the generic, polytopic and LFT frameworks. Notably, the notions of quadratic and robust stability using quadratic Lyapunov functions are introduced.
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Logopedics Phoniatrics Vocology, 2008
Issue 33:2 of Logopedics Phoniatrics Vocology contains a most interesting mix of articles: [1] a pilot study on the use of MRI to image the vocal tract shapes during register changes in professiona...
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Issue 33:2 of Logopedics Phoniatrics Vocology contains a most interesting mix of articles: [1] a pilot study on the use of MRI to image the vocal tract shapes during register changes in professiona...
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2014
This chapter is devoted to the development of control-laws for linear parameter-varying systems. The LPV framework allows for an easy design of gain-scheduled controllers, that is, controllers whose state-space structure depends on the value of the parameters thereby used as scheduling variables.
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This chapter is devoted to the development of control-laws for linear parameter-varying systems. The LPV framework allows for an easy design of gain-scheduled controllers, that is, controllers whose state-space structure depends on the value of the parameters thereby used as scheduling variables.
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Selbsteinstellender PI-Regler für LPV-Systeme (Self-scheduled PI-controller for LPV-Systems)
auto, 2001In diesem Artikel wird eine Strategie zur Regelung von linearen parameterveränderlichen (LPV-) Systemen mittels selbsteinstellender PI-Regelung vorgestellt. Dabei verändern sich die Reglerverstärkungen des PI-Reglers in Abhängigkeit vom aktuellen Zustand der Regelstrecke.
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2010
This chapter is devoted to the discretization of LPV systems through the discrete-time projection of their state-space representations. Both exact and approximative approaches are developed in a zero-order hold setting. Primary attention is given to the discretization of state-space representations with static coefficient dependence.
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This chapter is devoted to the discretization of LPV systems through the discrete-time projection of their state-space representations. Both exact and approximative approaches are developed in a zero-order hold setting. Primary attention is given to the discretization of state-space representations with static coefficient dependence.
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LPV Systems and Representations
2010In this chapter, a behavioral framework of LPV systems is introduced as an extension of the LTI behavioral approach. This is done with the intention to give a unified view on LPV system theory, that enables to approach LPV system identification in a well-founded system theoretic sense.
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