Compound matrices in systems and control theory: a tutorial

E Bar-Shalom, O Dalin, M Margaliot - Mathematics of Control, Signals, and …, 2023 - Springer
The multiplicative and additive compounds of a matrix play an important role in several fields
of mathematics including geometry, multi-linear algebra, graph theory, combinatorics, and …

A phase theory of MIMO LTI systems

W Chen, D Wang, SZ Khong, L Qiu - arXiv preprint arXiv:2105.03630, 2021 - arxiv.org
In this paper, we define the phase response for a class of multi-input multi-output (MIMO)
linear time-invariant (LTI) systems whose frequency responses are (semi-) sectorial at all …

Relaxation systems and cyclic monotonicity

T Chaffey, HJ van Waarde… - 2023 62nd IEEE …, 2023 - ieeexplore.ieee.org
It is shown that an LTI system is a relaxation system if and only if its Hankel operator is cyclic
monotone. Cyclic monotonicity of the Hankel operator implies the existence of a storage …

Variation diminishing linear time-invariant systems

C Grussler, R Sepulchre - Automatica, 2022 - Elsevier
This paper studies the variation diminishing property of k-positive linear time-invariant (LTI)
systems, which diminish the number of sign changes (variation) from input to output, if the …

Passive and reciprocal networks: From simple models to simple optimal controllers

R Pates - IEEE Control Systems Magazine, 2022 - ieeexplore.ieee.org
Can simple systems be regulated by simple controllers? Engineering experience indicates
that this is often the case. Certainly, the overwhelming majority of industrially deployed …

Balanced Truncation of -Positive Systems

C Grussler, T Damm… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article considers balanced truncation of discrete-time Hankel-positive systems,
characterized by Hankel matrices whose minors up to order are nonnegative. Our main …

Mapping back and forth between model predictive control and neural networks

R Drummond, P Baldivieso… - 6th Annual Learning for …, 2024 - proceedings.mlr.press
Abstract Model predictive control (MPC) for linear systems with quadratic costs and linear
constraints is shown to admit an exact representation as an implicit neural network. A …

A Phase Theory of Multi-Input Multi-Output Linear Time-Invariant Systems

W Chen, D Wang, SZ Khong, L Qiu - SIAM Journal on Control and …, 2024 - SIAM
In this paper, we define the phase response for a class of multi-input multi-output (MIMO)
linear time-invariant (LTI) systems whose frequency responses are (semi-) sectorial at all …

A Cyclic Small Phase Theorem

C Chen, W Chen, D Zhao, J Chen, L Qiu - arXiv preprint arXiv:2312.00956, 2023 - arxiv.org
This paper introduces a brand-new phase definition called the segmental phase for multi-
input multi-output linear time-invariant systems. The underpinning of the definition lies in the …

Learning in memristive electrical circuits

M Heidema, H van Waarde, B Besselink - arXiv preprint arXiv:2409.15136, 2024 - arxiv.org
Memristors are nonlinear two-terminal circuit elements whose resistance at a given time
depends on past electrical stimuli. Recently, networks of memristors have received attention …