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Offset-free nonlinear Model Predictive Control with state-space process models
Archives of Control Sciences, 2017 Offset-free model predictive control (MPC) algorithms for nonlinear state-space process models, with modeling errors and under asymptotically constant external disturbances, is the subject of the paper. The main result of the paper is the presentation of
Tatjewski Piotr
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Offset-free setpoint tracking using neural network controllers
CoRR, 2020 In this paper, we present a method to analyze local and global stability in offset-free setpoint tracking using neural network controllers and we provide ellipsoidal inner approximations of the corresponding region of attraction. We consider a feedback interconnection of a linear plant in connection with a neural network controller and an integrator ...
Patricia Pauli +4 more
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An Efficient Robust Predictive Control of Main Steam Temperature of Coal-Fired Power Plant
Energies, 2020 Regulating performance of the main steam temperature (MST) system concerns the economy and safety of the coal-fired power plant (CFPP). This paper develops an offset-free offline robust model predictive control (RMPC) strategy for the MST system of CFPP.
Di Wang, Xiao Wu, Jiong Shen
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IEEE Photonics Journal, 2021 We demonstrate a high-precision, high robustness frequency offset locking method,which made the frequency offset between mode-locked laser and continuous-wave laser below less than 3 Hz.The coarse frequency lock control is realized by the feedback ...
Xing Chen +4 more
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Nihon Kikai Gakkai ronbunshu, 2017 This study proposes a movement control system based on model predictive control (MPC) with state expressed identity disturbance observer (DOB). The proposed controller removes tracking errors of control variables due to disturbance influences.
Takashi OHHIRA, Akira SHIMADA
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A novel tuning approach for offset-free MPC [PDF]
, 2015 Since the beginnings in the chemical and process industry, model based predictive control strategies have become widely accepted. Often mentioned success factors for MPC are the use of optimization based on a plant model, the consideration of constraints,
del Re, Luigi +7 more
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Offset-free Model Predictive Control: A Study of Different Formulations with Further Results [PDF]
2020 28th Mediterranean Conference on Control and Automation (MED), 2020 This paper presents discussions on offset-free model predictive control (MPC) methods for linear discrete-time systems in the presence of deterministic system disturbances. The general approach is based on the use of a disturbance model and an observer to estimate the disturbance states.
Isah A. Jimoh +3 more
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IEEE Access, 2020 This paper addresses the tracking accuracy and robustness enhancement problems of fuzzy model based predictive control (MPC) for a class of nonlinear systems subjecting to lumped disturbances composed of bounded unknown disturbances and a model-plant ...
Jianzhong Zhu, Sing Kiong Nguang
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A Non-Linear Offset-Free Model Predictive Control Design Approach
ActuatorsThis paper presents a non-linear model predictive control approach for offset-free tracking and the rejection of piece-wise constant disturbances.
Haoran Zhang, Emmanuel Prempain
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Control of multivariable Hammerstein systems by using feedforward passivation [PDF]
, 2005 This paper presents a new control method for processes which can be described by Hammerstein models. The control design is based on the concept of passive systems.
Peter L. Lee +5 more
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