A simple and fast robust nonlinear model predictive control heuristic using n-steps-ahead uncertainty predictions for back-off calculations
A new robust nonlinear model predictive control (RNMPC) heuristic is proposed, specifically
developed to be i) easy to implement, ii) robust against constraint violations and iii) fast to …
developed to be i) easy to implement, ii) robust against constraint violations and iii) fast to …
Approach to Chemical Process Transition Control via Regulatory Controllers with the Case of a Throughput Fluctuating Ethylene Column
D Huang, G Liu, K Chen, L Liu, J Guo - Processes, 2024 - mdpi.com
For chemical processes, dynamic optimization is employed for process transition. On the
basis of the multilayer control structure, the employment of dynamic optimization is affected …
basis of the multilayer control structure, the employment of dynamic optimization is affected …
COOL: Efficient and Reliable Chain-Oriented Objective Logic with Neural Networks Feedback Control for Program Synthesis
J Han - arXiv preprint arXiv:2410.13874, 2024 - arxiv.org
Program synthesis methods, whether formal or neural-based, lack fine-grained control and
flexible modularity, which limits their adaptation to complex software development. These …
flexible modularity, which limits their adaptation to complex software development. These …
Closed-loop training of static output feedback neural network controllers for large systems: A distillation case study
The online implementation of model predictive control for constrained multivariate systems
has two main disadvantages: it requires an estimate of the entire model state and an …
has two main disadvantages: it requires an estimate of the entire model state and an …
Modelling and control of photobioreactors under dynamic light regimes
JIF Ulloa - 2024 - theses.hal.science
Microalgae can produce biomass using light as an energy source through photosynthesis.
Algal biomass has great potential for the production of food, feed, pharmaceuticals and …
Algal biomass has great potential for the production of food, feed, pharmaceuticals and …
[PDF][PDF] Implementing Neural Network-based Control Policy for Nonlinear Compressor Surge Control
H Dawlatshahi - 2024 - ntnuopen.ntnu.no
Denne masteroppgaven utforsker implementeringen av en kontrollpolitikk basert på nevrale
nettverk for ̊a evaluere ytelsen til kontrollsystemet. Tradisjonelle modell-prediktiv kontroll …
nettverk for ̊a evaluere ytelsen til kontrollsystemet. Tradisjonelle modell-prediktiv kontroll …