Data Filtering-Based Maximum Likelihood Gradient-Based Iterative Algorithm for Input Nonlinear Box–Jenkins Systems with Saturation Nonlinearity
Y Fan, X Liu, M Li - Circuits, Systems, and Signal Processing, 2024 - Springer
Saturation nonlinearity exists widely in various practical control systems. Modeling and
parameter estimation of systems with saturation nonlinearity are of great importance for …
parameter estimation of systems with saturation nonlinearity are of great importance for …
Robust particle filter for state estimation in presence of bounded but uncertain parameters based on ellipsoidal set membership approach
Accurate estimation of state variables plays an important role in control, monitoring and
optimization. Considering that the uncertainty of parameter may back-propagate to the …
optimization. Considering that the uncertainty of parameter may back-propagate to the …
A perturbed port-Hamiltonian approach for the stabilization of homogeneous reaction systems via the control of vessel extents
The paper proposes a tracking-error passivity-based control scheme for the asymptotic
stabilization of homogeneous reaction systems. The approach uses the concept of vessel …
stabilization of homogeneous reaction systems. The approach uses the concept of vessel …
Sequential model identification of reaction systems—The missing path between the incremental and simultaneous approaches
S Srinivasan, J Billeter, D Bonvin - AIChE Journal, 2019 - Wiley Online Library
Modeling chemical reaction systems is an important but complex task. The identified kinetic
model must be able to explain all the underlying rate processes such as chemical reactions …
model must be able to explain all the underlying rate processes such as chemical reactions …
Incremental parameter estimation under Rank-Deficient measurement conditions
The computation and modeling of extents has been proposed to handle the complexity of
large-scale model identification tasks. Unfortunately, the existing extent-based framework …
large-scale model identification tasks. Unfortunately, the existing extent-based framework …
Robust model selection: Flatness-based optimal experimental design for a biocatalytic reaction
M Schulze, R Schenkendorf - Processes, 2020 - mdpi.com
Considering the competitive and strongly regulated pharmaceutical industry, mathematical
modeling and process systems engineering might be useful tools for implementing quality …
modeling and process systems engineering might be useful tools for implementing quality …
Concept of Variants and Invariants for Reaction Systems, with Application to Estimation, Control and Optimization
M Rodrigues, D Filipe - 2018 - infoscience.epfl.ch
The concept of reaction variants and invariants for lumped reaction systems has been
known for several decades. Its applications encompass model identification, data …
known for several decades. Its applications encompass model identification, data …
On the computation of extents of reaction with a limited number of measurements
This note investigates the computation of extents of reaction from a limited number of state
measurements. It is shown that this computation differs depending on whether the …
measurements. It is shown that this computation differs depending on whether the …
[PDF][PDF] Model-Based Process Identification for Pharmaceutical Synthesis
M Schulze - 2024 - d-nb.info
The work of this thesis was conducted during my employment as a research associate at the
Institute of Energy and Process Systems Engineering of the TU Braunschweig between …
Institute of Energy and Process Systems Engineering of the TU Braunschweig between …