Results 141 to 150 of about 8,922,535 (177)
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Predictive control for constrained LPV systems
2001 European Control Conference (ECC), 2001This paper addresses predictive control of constrained LPV systems. The objective is to optimize nominal performance while guaranteeing robust stability and constraint satisfaction. The latter goal is achieved by exploiting invariant sets and a receding horizon optimization procedure which provides a nonlinear correction to the nominal gain scheduled ...
Luigi Chisci +2 more
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Performance of LPV gain-scheduled systems
2006 American Control Conference, 2006The design of nonlinear gain-scheduled controllers using linear parameter varying (LPV) systems methodology has seen a lot of development. It is known that when the LPV plant model is obtained using linearization, extra care must be taken when implementing the gain-scheduled controller from the designed LPV controller in order to guarantee stability ...
Charudatta S. Mehendale +1 more
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LPV model identification of an EVVT system
2015 American Control Conference (ACC), 2015In this paper, a family of discrete-time system models of an Electric Variable Valve Timing (EVVT) actuator for internal combustion engines under different operational conditions were obtained through the closed-loop system identification, where the complicated EVVT actuating system was treated as a black box.
Jie J. Yang +3 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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LPV decoupling for control of multivariable systems
International Journal of Control, 2011This article investigates methods for decoupling multivariable linear parameter varying (LPV) systems and proposes a new interaction measure for decoupled proportional-integral (PI) feedback control design in LPV systems. The proposed approach seeks to benefit the multivariable control of multi-input multi-output (MIMO) systems with variable operating ...
Javad Mohammadpour +4 more
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Robust and LPV control of an AMB system
Proceedings of the 2010 American Control Conference, 2010Active magnetic bearing spindles are predominantly subject to periodic disturbances due to an unbalanced mass. The frequency of these disturbances is known to be same as the operational (rotational) speed. LTI controllers provide for good disturbance attenuation only in very limited circumstances, i.e., when the operational speed is fixed or is very ...
Jasper Witte +2 more
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Model Reduction of Nonstationary LPV Systems
IEEE Transactions on Automatic Control, 2007This paper focuses on the model reduction of nonstationary linear parameter-varying (NSLPV) systems. We provide a generalization of the balanced truncation procedure for the model reduction of stable NSLPV systems, along with a priori error bounds. Then, for illustration purposes, this method is applied to reduce the model of a two-mass translational ...
Mazen Farhood, Geir E. Dullerud
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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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LPV modelling and LPV observer-based fault detection for wind turbine systems
2016 IEEE 14th International Conference on Industrial Informatics (INDIN), 2016In this paper, linear parameter varying (LPV) modelling technique is addressed for modelling a wind turbine system, with real-time changing scheduling parameters. Based on the LPV wind turbine model, a LPV observer-based fault detection method is utilized to detect faults under four scenarios.
Hui Shao +2 more
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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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