Automated controller calibration by Kalman filtering
M Menner, K Berntorp… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article proposes a method for calibrating control parameters. The examples of such
control parameters are gains of proportional–integral–derivative (PID) controllers, weights of …
control parameters are gains of proportional–integral–derivative (PID) controllers, weights of …
Extremum seeking tracking for derivative-free distributed optimization
In this paper, we deal with a network of agents that want to cooperatively minimize the sum
of local cost functions depending on a common decision variable. We consider the …
of local cost functions depending on a common decision variable. We consider the …
Minimisation of Polyak-\L {} ojasewicz Functions Using Random Zeroth-Order Oracles
The application of a zeroth-order scheme for minimising Polyak-\L {} ojasewicz (PL)
functions is considered. The framework is based on exploiting a random oracle to estimate …
functions is considered. The framework is based on exploiting a random oracle to estimate …
Model predictive controller tuning by machine learning and ordinal optimisation
R Chin - 2022 - etheses.bham.ac.uk
While for the past several decades model predictive control (MPC) has been an established
control strategy in chemical process industries, more recently there has been increased …
control strategy in chemical process industries, more recently there has been increased …