Results 151 to 160 of about 9,434 (185)
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Conversion From Unstructured LPV Controllers to Observer-Structured LPV Controllers
2022 IEEE 61st Conference on Decision and Control (CDC), 2022Masayuki Sato 0003, Noboru Sebe
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2011
The general idea of this project is to popularize the usage of EGNOS (European Geostationary Navigation Overlay Scientific). Research centers should prepare technical solutions for system installations on airports and on boards of aircraft, in frames certificate of projects and procedures.
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The general idea of this project is to popularize the usage of EGNOS (European Geostationary Navigation Overlay Scientific). Research centers should prepare technical solutions for system installations on airports and on boards of aircraft, in frames certificate of projects and procedures.
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Failure detection for quasi LPV systems
Proceedings of the 41st IEEE Conference on Decision and Control, 2002., 2003By using the concept of parameter varying (CA)invariant subspace and parameter varying unobservability subspace, this paper investigates the problem of fault detection and isolation for quasi linear parameter varying (qLPV) systems. The so called detection filters approach, formulated as the fundamental problem of residual generation (FPRG) for linear ...
József Bokor +2 more
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A Method of LPV Model Identification for Control
IFAC Proceedings Volumes, 2008Nonlinear process identification for control is studied. In identification test, the process is only tested (excited) along its operating-trajectory that includes various working points and transition periods. In model identification, a linear parameter varying (LPV) model is used.
Zhu, Y., Xu, Zuhua
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LPV Equivalence Transformations
2010In this chapter, we continue the discussion of the LPV behavioral framework by establishing equivalence transformations between the state-space and the input-output representation domains. These equivalence transformations enable the comparison and analysis of LPV model structures and provide essential tools to formulate the identification approach of ...
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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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Polytopic LPV Approaches for Intelligent Automotive Systems: State of the Art and Future Challenges
Mechanical Systems and Signal Processing, 2021Hui Zhang, Haiping Du, Anh-Tu Nguyen
exaly
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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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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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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