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Optimizing the Uncertainty Bounds for a Robust Control Problem using Moving Horizon Estimation
, 2015 E.A.I. Pool
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Moving horizon estimation of states and parameters geared towards PWR monitoring and control
Lucas Gruss
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Linear Moving Horizon Estimation With Pre-Estimating Observer
IEEE Transactions on Automatic Control, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sui, Dan, Johansen, Tor Arne, Feng, Le
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Zero-Order Moving Horizon Estimation
2019 IEEE 58th Conference on Decision and Control (CDC), 2019Moving Horizon Estimation (MHE) is an optimization-based approach to nonlinear state estimation. The computational burden associated with the online solution of the corresponding nonlinear optimization problems poses a major challenge when applying MHE in practice.
Katrin Baumgartner +2 more
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Distributed moving horizon estimation for sensor networks
IFAC Proceedings Volumes, 2009This paper focuses on distributed state estimation using a sensor network for monitoring a linear system. In order to account for physical constraints on process states and inputs, we propose a moving horizon approach where each sensor has to solve a quadratic programming problem at each time instant.
FARINA, MARCELLO +2 more
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2018
Nearly every model predictive control (MPC) algorithm is premised on knowledge of the system’s state. As a result, state estimation is vital to good MPC performance. Moving horizon estimation (MHE) is an optimization-based state estimation algorithm.
James B. Rawlings, Douglas A. Allan
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Nearly every model predictive control (MPC) algorithm is premised on knowledge of the system’s state. As a result, state estimation is vital to good MPC performance. Moving horizon estimation (MHE) is an optimization-based state estimation algorithm.
James B. Rawlings, Douglas A. Allan
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Moving horizon estimation for hybrid systems
IEEE Transactions on Automatic Control, 2000We propose a state-smoothing algorithm for hybrid systems based on moving-horizon estimation (MHE) by exploiting the equivalence between hybrid systems modeled in the mixed logic dynamical form and piecewise affine systems. We provide sufficient conditions on the time horizon and the penalties on the state at the beginning of the estimation horizon to ...
FERRARI TRECATE, GIANCARLO +2 more
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Moving horizon estimation on a chip
2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), 2014Second order Quadratic Programming (QP) solvers such as interior-point method (IPM) require the solution of a system of linear equations at every iteration and could be a factor limiting the implementation of IPM to miniaturized devices or embedded systems.
Thuy V. Dang, K. V. Ling
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Moving Horizon Estimation with Decimated Observations
IFAC Proceedings Volumes, 2010Abstract This paper addresses the problem of moving horizon (MH) state estimation of discrete lumped nonlinear systems. It is assumed that the measurements of the observed variables are not available at every sampling instant (decimated observations). An estimation algorithm is provided for that purpose, together with results on its convergence.
Rui F. Barreiro +2 more
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Nonlinear Moving Horizon State Estimation
1995MHE is an optimization based strategy for state estimation that explicitly allows for nonlinear models and inequality constraints. In this work we investigate strategies to guarantee the stability of moving horizon estimation (MHE). We begin our discussion by analyzing the stability of the abstract MHE problem.
Kenneth R. Muske, James B. Rawlings
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