Results 31 to 40 of about 178,500 (285)
Frontiers in Bioengineering and Biotechnology, 2021 Real-time biofeedback of muscle forces should help clinicians adapt their movement recommendations. Because these forces cannot directly be measured, researchers have developed numerical models and methods informed by electromyography (EMG) and body ...
François Bailly +5 more
doaj +1 more source
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
openaire +4 more sources
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
doaj +1 more source
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
core +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
core +1 more source
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
doaj +1 more source
Forecasting Value-at-Risk with Time-Varying Variance, Skewness and Kurtosis in an Exponential Weighted Moving Average Framework [PDF]
, 2012 This paper provides an insight to the time-varying dynamics of the shape of the distribution of financial return series by proposing an exponential weighted moving average model that jointly estimates volatility, skewness and kurtosis over time using a ...
Gabrielsen, A. +3 more
core +4 more sources