Nonlinear Tire Model Approximation Using Machine Learning for Efficient Model Predictive Control
IEEE Access, 2022 Model Predictive Controller (MPC) is widely used as a technique for path tracking control since it allows for dealing with system constraints and future forecasts. However, the performance of MPC is directly affected by the adopted model.
Lucas Castro Sousa +1 more
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Nonlinear Model Predictive Control for Series-Parallel Hybrid Electric Buses
IEEE Access, 2019 In the trend of urgent demand of energy saving for public transportation, the series-parallel plug-in hybrid electric bus (SPPHEB) with energy saving potential is proposed.
Biao Liu +3 more
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Nonlinear autoregressive moving average-L2 model based adaptive control of nonlinear arm nerve simulator system [PDF]
, 2020 This paper considers the trouble of the usage of approximate strategies for realizing the neural controllers for nonlinear SISO systems. In this paper, we introduce the nonlinear autoregressive moving average (NARMA-L2) model which might be ...
Jibril, Mustefa
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Nonlinear Model Predictive Control for a Self-Balancing Wheelchair
IEEE AccessThe self-balancing wheelchair is characterized by its small size, flexibility, and strong ground adaptability. To expand the control range of the pitch angle and enhance the stability of the self-balancing wheelchair, this paper presents a nonlinear ...
Chen Liu +4 more
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Iterative Nonlinear Control of a Semibatch Reactor. Stability Analysis [PDF]
, 2005 This paper presents the application of Iterative Nonlinear Model Predictive Control, INMPC, to a semibatch chemical reactor. The proposed control approach is derived from a model-based predictive control formulation which takes advantage of the ...
Bordons Alba, Carlos, Ramos Cueli, José
core
Analysis of unconstrained nonlinear MPC schemes with time varying control horizon [PDF]
, 2010 For discrete time nonlinear systems satisfying an exponential or finite time controllability assumption, we present an analytical formula for a suboptimality estimate for model predictive control schemes without stabilizing terminal constraints. Based on
Grüne, Lars +3 more
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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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Adaptive Horizon Model Predictive Control and Al'brekht's Method [PDF]
, 2019 A standard way of finding a feedback law that stabilizes a control system to an operating point is to recast the problem as an infinite horizon optimal control problem. If the optimal cost and the optmal feedback can be found on a large domain around the
E Polak +11 more
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A smooth gain scheduling generalized predictive control
ENP Engineering Science JournalNonlinear model predictive control is an emerging control technique dealing with high nonlinearities of industrial plants. However, it suffers from many hurdles such as the numerical problems related to the resulting no convex nonlinear optimization ...
Yassine Himour +2 more
doaj +1 more source
Path Tracking of Mining Vehicles Based on Nonlinear Model Predictive Control
Applied Sciences, 2019 Path tracking of mining vehicles plays a significant role in reducing the working time of operators in the underground environment. Because the existing path tracking control of mining vehicles, based on model predictive control, is not very effective ...
Guoxing Bai +5 more
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