Jul 18, 2010 · This work presents a computationally efficient constrained MPC scheme using nonlinear prediction and online linearization based on neural models ...
This work presents a computationally efficient constrained MPC scheme using nonlinear prediction and online linearization based on neural models for controlling ...
The neural model for AFR identification has been trained offline. The model mismatch is taken care of by incorporating a PID feedback correction scheme.
Online linearization-based neural predictive control of air–fuel ratio in SI engines with PID feedback correction scheme. Samir Saraswati • Satish Chand.
Online linearization-based neural predictive control of air–fuel ratio in SI engines with PID feedback correction scheme. Article. Full-text available. Sep ...
Online linearization-based neural predictive control of air–fuel ratio in SI engines with PID feedback correction scheme. S Saraswati, S Chand. Neural Computing ...
Online linearization-based neural predictive control of air–fuel ratio in SI engines with PID feedback correction scheme · Samir SaraswatiS. Chand. Engineering ...
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This paper proposes a predictive control method using Fuzzy-RBF neural network, and the fuzzy rule is based on the UAV flight control experience.
The Current practice of air-fuel ratio control relies on empirical models and traditional PID controllers, which require extensive calibration to maintain ...
Samir Saraswati, Online linearization-based neural predictive control of air-fuel ratio ... Y J Zhai, Neural network model-based automotive engine air/fuel ratio ...