Results 31 to 40 of about 178,773 (337)
Advanced-multi-step Moving Horizon Estimation
IFAC-PapersOnLine, 2021 Abstract Moving Horizon Estimation (MHE) is an important optimization-based approach for state estimation and parameter updates, because of its capabilities in dealing with nonlinearity and state constraints. In addition, one of the applications is to provide the full state information for Model Predictive Controller (MPC) to control the process in ...
Yeonsoo Kim +3 more
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Journal of Electrical and Computer Engineering, 2022 This paper investigates the joint states and parameters estimation problem for induction machine. In order to develop new states and parameters estimation methods that greatly improve the estimation bandwidth, this paper proposes an adaptive moving ...
Steve Alan Talla Ouambo +2 more
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SICE Journal of Control, Measurement, and System Integration, 2020 This paper proposes a recursive elimination method for optimal filtering problems of a class of discrete-time nonlinear systems with non-Gaussian noise. By this method, most of the computations to solve an optimal filtering problem can be carried out off-
Tomoyuki Iori, Toshiyuki Ohtsuka
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A homotopy-based moving horizon estimation [PDF]
International Journal of Control, 2017 ABSTRACTMoving horizon estimation (MHE) solves a constrained dynamic optimisation problem. Including nonlinear dynamics into an optimal estimation problem generally comes at the cost of tackling a ...
Mohammad Abdollahpouri +6 more
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New multiple target tracking strategy using domain knowledge and optimisation [PDF]
, 2016 This paper proposes an environment-dependent vehicle dynamic modeling approach considering interactions between the noisy control input of a dynamic model and the environment in order to make best use of domain knowledge.
Chen, Wen-Hua +3 more
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Optimization-Based Sensor Fusion of GNSS and IMU Using a Moving Horizon Approach
Sensors, 2017 The rise of autonomous systems operating close to humans imposes new challenges in terms of robustness and precision on the estimation and control algorithms.
Fabian Girrbach +3 more
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Moving horizon estimation for networked systems with quantized measurements and packet dropouts [PDF]
, 2013 published_or_final_versio
Chen, MZ, Liu, A, Yu, L, Zhang, WA
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Distributed State Estimation Using a Modified Partitioned Moving Horizon Strategy for Power Systems
Sensors, 2017 In this paper, a distributed state estimation method based on moving horizon estimation (MHE) is proposed for the large-scale power system state estimation.
Tengpeng Chen +3 more
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Distributed State Estimation Based Distributed Model Predictive Control
Mathematics, 2021 In this work, we consider output-feedback distributed model predictive control (DMPC) based on distributed state estimation with bounded process disturbances and output measurement noise. Specifically, a state estimation scheme based on observer-enhanced
Jing Zeng, Jinfeng Liu
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Estimation of state variables of the drive system with elastic joint using moving horizon estimation (MHE) [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2019 The article presents issues related to the application of a moving horizon estimator for state variables reconstruction in an advanced control structure of a drive system with an elastic joint.
P. Serkies
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