5 papers
An Adaptive Multi-Parameter ADMM Algorithm for Embedded MPC
Alberto Zaupa, Mikael Johansson
We introduce an adaptive multi-parameter variant of ADMM and prove that it exhibits local superlinear convergence once the set of active constraints has been identified. In simulat…
Stable MPC with maximal terminal sets and quadratic terminal costs
Mikael Johansson, Hamed Taghavian
This paper develops a technique for computing a quadratic terminal cost for linear model predictive controllers that is valid for all states in the maximal control invariant set. T…
Model-free fast charging of lithium-ion batteries by online gradient descent
Hamed Taghavian, Malin Andersson, Mikael Johansson
A data-driven solution is provided for the fast-charging problem of lithium-ion batteries with multiple safety and aging constraints. The proposed method optimizes the charging cur…
Optimal control of continuous-time symmetric systems with unknown dynamics and noisy measurements
Hamed Taghavian, Florian Dorfler, Mikael Johansson
An iterative learning algorithm is presented for continuous-time linear-quadratic optimal control problems where the system is externally symmetric with unknown dynamics. Both fini…
When are selector control strategies optimal for constrained monotone systems?
Hamed Taghavian, Ross Drummond, Mikael Johansson
This paper considers optimal control problems defined by a monotone dynamical system, a monotone cost, and monotone constraints. We identify families of such problems for which the…