Results 181 to 190 of about 23,813,154 (256)
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Nonlinear MPC using an Identified LPV Model
Industrial & Engineering Chemistry Research, 2009A method of nonlinear model predictive control based on an identified LPV model is proposed. In process identification, a linear parameter varying (LPV) model approach is used. First, typical working-points are selected and linear models are identified using data sets at various working-points; then the LPV model is identified by interpolating the ...
Xu, Zuhua +3 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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Optimal control of aero‐engine systems based on a switched LPV model
Asian journal of control, 2021In this paper, an optimal control problem for aero‐engines based on a switched linear parameter varying (LPV) model is solved. Firstly, according to the change of external flight conditions, a switched LPV model with different altitudes and Mach numbers ...
Rui Wang, Cheng Liu, Yan Shi
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A Periodic Approach to Dynamic Output Feedback MPC for Quasi-LPV Model
IEEE Transactions on Automatic Control, 2021This article considers dynamic output feedback model predictive control for quasi-linear parameter varying model with norm-bounded disturbance. The infinite horizon control moves are parameterized as the parameter-dependent dynamic output feedback (PDDOF)
Jianchen Hu, B. Ding
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Interpolated Modeling of LPV Systems
IEEE Transactions on Control Systems Technology, 2014This paper presents a new state-space model interpolation of local estimates technique to compute linear parameter-varying (LPV) models for parameter-dependent systems using a set of linear time-invariant models obtained for fixed operating conditions.
De Caigny, Jan +3 more
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Quasi-LPV modeling and LPV control of a generic missile
Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334), 2000In this paper, we will apply linear parameter-varying (LPV) control theory to the design of gain-scheduled missile autopilot. A nonlinear coupled 3-axis generic missile model is used as our design example. We will show that this model can be reduced to quasi-LPV form so that LPV design methodology can be applied.
null Weehong Tan +2 more
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LPV Controller Design for Diesel Engine SCR Aftertreatment Systems based on Quasi-LPV Models
2021 American Control Conference (ACC), 2021This letter presents linear parameter-varying (LPV) controller design for the urea-based selective catalytic reduction (SCR) system in diesel engines to reduce nitrogen oxides (NOX) and ammonia (NH3) emissions. Although such LPV SCR controller design has been previously developed, this letter extends it in various ways. The extension includes the usage
Jihoon Lim +2 more
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Robust tracking control of aero-engine rotor speed based on switched LPV model
Aerospace Science and Technology, 2019Thrust control in aero-engines is achieved indirectly due to the lack of thrust sensing technologies. A related variable must be chosen for the control, typically high or low pressure rotor speeds.
Tong Liu +4 more
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LPV Modelling and Identification: An Overview
2013The current state-of-the-art in the fields of control-oriented LPV modelling and LPV system identification is surveyed and the potential synergies between the two research areas are highlighted and discussed. Indeed, a number of methods and tools for the development of LPV models from nonlinear systems and for the identification of black-box LPV models
Lovera, Marco +2 more
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LPV Modelling and Control of Burgers’ Equation
IFAC Proceedings Volumes, 2011Linear parameter-varying (LPV) modelling and control of a nonlinear PDE is presented in this paper. The one-dimensional viscous Burgers' equation is discretized using a finite difference scheme and the boundary conditions are taken as control inputs. A nonlinear high-order state space model is generated and proper orthogonal decomposition is used for ...
Hashemi, Seyed Mahdi, Werner, Herbert
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