From the 2 of 43 linked papers with an AI index.
6 papers · 1 filter
Event-Triggered Discrete-Time Multivariable Extremum Seeking Systems
Victor Hugo Pereira Rodrigues, Tiago Roux Oliveira, Miroslav KrstiÄ +1
The paper proposes a discrete-time extremum seeking method that updates control inputs only when a state‑dependent event‑trigger condition is satisfied, reducing actuation and comm…
On stability and non-averaged performance of economic MPC with terminal conditions for optimal periodic operation
Jonas Mair, Lukas Schwenkel, Matthias A. Müller +1
Operation at steady state is often not optimal when optimizing over an economic cost objective. In many cases, periodic operation yields better performance. Therefore, we derive as…
Discrete-Time Event-Triggered Extremum Seeking
Victor Hugo Pereira Rodrigues, Tiago Roux Oliveira, Miroslav KrstiÄ +1
This paper proposes a discrete-time event-triggered extremum seeking control scheme for real-time optimization of nonlinear systems. Unlike conventional discrete-time implementatio…
Robust targeted exploration for systems with non-stochastic disturbances
Janani Venkatasubramanian, Johannes Köhler, Mark Cannon +1
We propose a novel targeted exploration strategy designed specifically for uncertain linear time-invariant systems with energy-bounded disturbances, i.e., without any assumptions o…
A polynomial-based QCQP solver for encrypted optimization
Sebastian Schlor, Andrea Iannelli, Junsoo Kim +2
In this paper, we present a novel method for solving a class of quadratically constrained quadratic optimization problems using only additions and multiplications. This approach en…
On discount functions for economic model predictive control without terminal conditions
Lukas Schwenkel, Daniel Briem, Matthias A. Müller +1
In this paper, we investigate discounted economic model predictive control (E-MPC) schemes without terminal conditions in scenarios where the optimal operating behavior is a period…