Results 1 to 10 of about 4,324,109 (221)
Offset Free Tracking Predictive Control Based on Dynamic PLS Framework [PDF]
Information (Switzerland), 2017 This paper develops an offset free tracking model predictive control based on a dynamic partial least square (PLS) framework. First, state space model is used as the inner model of PLS to describe the dynamic system, where subspace identification method is used to identify the inner model.
Yue Wang, Lin Luo, Xin Jin
exaly +5 more sources
Parsimonious cooperative distributed MPC algorithms for offset-free tracking [PDF]
Journal of Process Control, 2017 Abstract We propose in this paper novel cooperative distributed MPC algorithms for tracking of piecewise constant setpoints in linear discrete-time systems. The available literature for cooperative tracking requires that each local controller uses the centralized state dynamics while optimizing over its local input sequence.
Gabriele Pannocchia, Matteo Razzanelli
exaly +4 more sources
Disturbance Observer-Based Offset-Free Global Tracking Control for Input-Constrained LTI Systems with DC/DC Buck Converter Applications [PDF]
Energies, 2020 This paper presents an offset-free global tracking control algorithm for the input-constrained plants modeled as controllable and open-loop strictly stable linear time invariant (LTI) systems. The contribution of this study is two-fold: First, a global tracking control law is devised in such a way that it not only leads to offset-free reference ...
Kyunghwan Choi, Seok-Kyoon Kim
exaly +4 more sources
Robust Offset-Free Speed Tracking Controller of Permanent Magnet Synchronous Generator for Wind Power Generation Applications [PDF]
Electronics, 2018 This article presents a robust speed tracking algorithm for a permanent magnet synchronous generator utilized for wind power generation systems, considering the machine parameter and load uncertainties. There are two major contributions: (a) a disturbance observer is designed to exponentially estimate disturbances from the model-plant mismatches and ...
Kyo-Beum Lee, Seok-Kyoon Kim
exaly +3 more sources
MPC-Based Offset-Free Tracking Control for Intermittent Transonic Wind Tunnel [PDF]
IEEE Access, 2020 This paper addresses the offset-free model predictive control (MPC) for the intermittent transonic wind tunnel (ITWT). The offset-free property holds by introducing the controller state equation which introduces an integral action, while the controller state can keep as the decision variable.
Jun Wang, Xiaoming Tang, Baocang Ding
exaly +4 more sources
Nonlinear MPC for Offset-Free Tracking of systems learned by GRU Neural Networks
IFAC-PapersOnLine, 2021 The use of Recurrent Neural Networks (RNNs) for system identification has recently gathered increasing attention, thanks to their black-box modeling capabilities.Albeit RNNs have been fruitfully adopted in many applications, only few works are devoted to provide rigorous theoretical foundations that justify their use for control purposes.
Fabio Bonassi, Riccardo Scattolini
exaly +4 more sources
Offset-free tracking MPC: A tutorial review and comparison of different formulations [PDF]
2015 European Control Conference (ECC), 2015 Offset-free Model Predictive Control formulations refer to a class of algorithms that are able to achieve output tracking of reference signals despite the presence of plant/model mismatch or unmeasured nonzero mean disturbances. The general approach is to augment the nominal system with disturbances, i.e.
Gabriele Pannocchia
exaly +4 more sources
Trajectory tracking control of a VTOL unmanned aerial vehicle using offset-free tracking MPC
Chinese Journal of Aeronautics, 2020 Abstract Designing a stable and robust flight control system for an Unmanned Aerial Vehicle (UAV) is an arduous task. This paper addresses the trajectory tracking control problem of a Ducted Fan UAV (DFUAV) using offset-free Model Predictive Control (MPC) technique in the presence of various uncertainties and external disturbances.
Yuanqing Xia +2 more
exaly +2 more sources
Learning Disturbance Models for Offset-Free Reference Tracking
IEEE Transactions on Automatic ControlThis work presents a nonlinear control framework that guarantees asymptotic offset-free tracking of generic reference trajectories by learning a nonlinear disturbance model, which compensates for input disturbances and model-plant mismatch. Our approach generalizes the well-established method of using an observer to estimate a constant disturbance to ...
Mario Zanon +2 more
exaly +4 more sources
Offset-Free Nonzero Tracking for Nonlinear Impulsive Systems With Application to Biomedical Processes [PDF]
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 biomedical applications are better described by nonlinear impulsive models, and therefore, it is ...
María F. Villa-Tamayo +3 more
openaire +3 more sources