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20112023
most citedParticle Model Predictive Control: Tractable Stochastic Nonlinear Output-Feedback MPC

26 citations · 82 across the 15 of their papers we have counts for

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7 papers · 1 filter

eess.SY2022★ 2 cited

Control-orientation, conservation of mass and model-based control of compressible fluid networks

Sven Brüggemann, Robert H. Moroto, Robert R. Bitmead

We study a gas network flow regulation control problem showing the closed-loop consequences of using interconnected component models, which have been designed to preserve a variant…

eess.SY2022★ 1 cited

A Compendium of Control-Oriented Models of Gas Processing Equipment Components

Sven Brüggemann, Robert H. Moroto, Robert R. Bitmead

This work provides linear control-oriented state space models of gas flow through standard equipment, such as valves, compressors, manifolds and non-trivial pipe geometries. After…

eess.SY2022

Control-Oriented Modeling of Pipe Flow in Gas Processing Facilities

Sven Brüggemann, Robert H. Moroto, Robert R. Bitmead

Pipe flow models are developed with a focus on their eventual use for feedback control design at the process control level, as opposed to the unit level, in gas processing faciliti…

eess.SY2020★ 2 cited

Simultaneous input & state estimation, singular filtering and stability

Mohammad Ali Abooshahab, Mohammed M. J. Alyaseen, Robert R. Bitmead +1

Input estimation is a signal processing technique associated with deconvolution of measured signals after filtering through a known dynamic system. Kitanidis and others extended th…

eess.SY2020

Forward-looking persistent excitation in model predictive control

Sven Brüggemann, Robert R. Bitmead

This work deals with the problem of simultaneous regulation and model parameter estimation in adaptive model predictive control. We propose an adaptive model predictive control and…

eess.SY2017

Quantized Innovations Bayesian Filtering

Chun-Chia Huang, Robert R. Bitmead

The paper provides simple formulas of Bayesian filtering for the exact recursive computation of state conditional probability density functions given quantized innovations signal m…

eess.SY2017★ 7 cited

Subspace Identification with Multiple Data Records: unlocking the archive

Chad M. Holcomb, Robert R. Bitmead

We develop an approach to subspace system identification using multiple data records and present a simple rank-based test for the adequacy of these data for fitting the unique line…