Results 21 to 30 of about 248,906 (193)
Non-linear model based predictive control
International Journal of Control, 1999 Linearization, interpolation and end-point constraints are combined to derive a receding horizon predictive control algorithm for continuous-time non-linear systems which are subject to input constraints. The algorithm makes extensive use of the 'tail' of input/output state trajectories, namely the extension to current time of trajectories computed at ...
Kouvaritakis, B, Cannon, M, Rossiter, J
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Stable data‐driven Koopman predictive control: Concentrated solar collector field case study
IET Control Theory & Applications, 2023 Non‐linearity is an inherent feature of practical systems. Although there have been significant advances in the control of nonlinear systems, the proposed methods often require considerable computational resources or rely on local linearization around ...
Tahereh Gholaminejad, Ali Khaki‐Sedigh
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Energies, 2022 This paper proposes a model-based predictive control strategy based on mixed-integer linear programming for a photovoltaic power plant with battery energy storage.
Angel L. Cedeño +5 more
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IEEE Access, 2022 Impulsive control systems have shown strong potential to represent and address challenging problems, especially in the biomedical field. In recent research, these problems have been tackled with advances in linear impulsive control systems. However, many
Maria F. Villa-Tamayo +3 more
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Chaos Control in Gear Transmission System using GPC and SMC Controllers [PDF]
Journal of Applied and Computational Mechanics, 2022 Chaos is a phenomenon that occurs in some non-linear systems. Therefore, the output of the system will be heavily dependent on the initial conditions. Since the main characteristic of the chaos is an abnormal behavior of the system output, it should be ...
Mohammad Hossein Gharagozloo +1 more
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Field-Oriented Predictive Control Structure for Synchronous Reluctance Motors
Machines, 2023 This paper presents a cascade predictive control structure based on field-oriented control (FOC) in the dq rotor reference frame for the synchronous reluctance machine (SynRM).
Madalin Costin, Corneliu Lazar
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Comparisons between Generalized Predictive Control and Linear Controllers in Multi-Input DC-DC Boost Converter [PDF]
International Journal of Industrial Electronics, Control and Optimization, 2020 In this paper, the linear state-space model of the multi-input DC-DC boost converter is obtained and based on, a linear SISO model is calculated. Model predictive control (MPC) offers a novel method of designing in the power electronic converters.
Mohsen Ehsani +3 more
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Non-Linear Model Predictive Control for Modular Multilevel Converters
2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia), 2022 In this paper, non-linear model predictive control (NMPC) without an explicit modulator is applied to modular multilevel converters (MMCs) in the abc reference frame. NMPC can easily be extended for longer prediction horizons as opposed to finite control set model predictive control (FCS-MPC).
Hamayoon, Saad +2 more
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Non‐Linear Model Predictive Control: A Personal Retrospective [PDF]
The Canadian Journal of Chemical Engineering, 2007 AbstractAn overview of non‐linear model predictive control (NMPC) is presented, with an extreme bias towards the author's experiences and published results. Challenges include multiple solutions (from non‐convex optimization problems), and divergence of the model and plant outputs when the constant additive output disturbance (the approach of dynamic ...
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Tikrit Journal of Engineering Sciences, 2012 In this article, multi-input multi-output (MIMO) linear model predictive controller (LMPC) based on state space model and nonlinear model predictive controller based on neural network (NNMPC) are applied on a continuous stirred tank reactor (CSTR).
Muayad A. Shehab Al-Qaisy
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