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Non linear predictive control algorithm based on Laguerre-Volterra models
2005 12th IEEE International Conference on Electronics, Circuits and Systems, 2005This paper proposes a non linear predictive control algorithm based on Laguerre-Volterra model. This latter results from the expansion of discrete Volterra kernels on independent Laguerre basis. This expansion enables to alleviate the Volterra model complexity resulting from the high parameter number.
Tarek Garna +2 more
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Piecewise non-linear model predictive control with bounded disturbance
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control EngineeringThis work addresses the problem of robust [Formula: see text] model predictive control for constrained piecewise non-linear systems corrupted by norm-bounded disturbances for the first time. In this approach, the system can have different operating points with different subregions.
Ali Shokrollahi, Saeed Shamaghdari
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Non-Linear Model Predictive Control for autonomous landing of a UAV on a moving platform
2022 IEEE Conference on Control Technology and Applications (CCTA), 2022This work proposes a real-time Model Predictive Control (MPC) solution for the landing problem of a quadrotor on an moving platform whose dynamics is unknown. The aerial vehicle is capable of acquiring only bearing measurements and of retrieving its attitude and elevation; its objective is to autonomously track the target and safely land over it.
Pozzan, Beniamino +2 more
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Shortest-prediction-horizon non-linear model-predictive control with guaranteed asymptotic stability
International Journal of Control, 2007This paper presents a continuous-time shortest-prediction-horizon model-predictive control method that provides optimal output regulation with guaranteed closed-loop asymptotic stability within an assessable domain of attraction. The closed-loop stability is ensured by requiring plant state variables to satisfy a hard, Lyapunov, inequality constraint ...
Chanin Panjapornpon, Masoud Soroush
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PWARX model predictive control of non-linear hybrid systems
2016 20th International Conference on System Theory, Control and Computing (ICSTCC), 2016In this paper, a nonlinear hybrid system predictive control approach is developped. Hybrid process identification is based on PieceWise AutoRegressive eXogenous (PWARX) models. The identificaion problem deals with Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm.
Olfa Yahya +2 more
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On robust tracking with non-linear model predictive control
International Journal of Control, 2002In this paper a class of stabilizing model predictive control algorithms based on an optimization problem with two different horizons (control and prediction) is considered. Particular attention is devoted to the tracking problem for reference signals constant beyond a prescribed future horizon. For such a problem, it is pointed out the necessity of an
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A non linear model predictive tracking controller for agricultural vehicles
2007 European Control Conference (ECC), 2007It is expected that precision farming operations will increasingly rely on more complex automatic steering and navigation capabilities of agricultural vehicles. In this paper, a nonlinear model predictive tracking (NMPT) controller is presented for precision guidance in agricultural applications.
Stavros Vougioukas +2 more
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Model Predictive Control for non-linear delayed power systems
2015 IEEE Eindhoven PowerTech, 2015Power systems can experience poorly damped oscillations tendency which may cause loss of synchronism and security constraints infringement. This may be caused by disturbances in power consumption, failures, and recently by the presence of delays in monitoring process.
Alexander Molina-Cabrera +2 more
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Non-linear Model-based Predictive Control with Constraints for Controlled Auto-Ignition
IFAC Proceedings Volumes, 2009Abstract Combustion with a high amount of recirculated exhaust gas is increasingly gaining interest. Such in part load conditions a low combustion peak temperature can be achieved which yields lowest emissions but suffers from instabilities of the process and a highly non-linear behavior.
Kai Hoffmann, Dirk Abel
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Non-linear model predictive control for constrained robot navigation in row crops
2015 IEEE International Conference on Industrial Technology (ICIT), 2015Vehicles which operate in agricultural row crops, need to strictly follow the established wheel tracks. Errors in navigation where the robot sways of its path with one or more wheels may damage the crop plants. The specific focus of this paper is on an agricultural robot operation in row cultures.
Trygve Utstumo +2 more
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