scispace - formally typeset
J

James S. Freudenberg

Researcher at University of Michigan

Publications -  162
Citations -  5626

James S. Freudenberg is an academic researcher from University of Michigan. The author has contributed to research in topics: Control system & Control theory. The author has an hindex of 36, co-authored 161 publications receiving 5402 citations. Previous affiliations of James S. Freudenberg include Ford Motor Company & Newcastle University.

Papers
More filters
Journal ArticleDOI

Right half plane poles and zeros and design tradeoffs in feedback systems

TL;DR: In this article, the authors express limitations imposed by right half plane poles and zeros of the open-loop system directly in terms of the sensitivity and complementary sensitivity functions of the closed-loop systems.
Journal Article

Author's Reply to Comments on Feedback Stabilization Over Signal-to-Noise Ratio Constrained Channels

TL;DR: In this paper, the authors studied the problem of feedback stabilization over a signal-to-noise ratio (SNR) constrained channel and showed that for either state feedback, or for output feedback delay-free, minimum phase plants, there are limitations on the ability to stabilize an unstable plant over an SNR constrained channel.
Journal ArticleDOI

Feedback Stabilization Over Signal-to-Noise Ratio Constrained Channels

TL;DR: This work discusses both continuous and discrete time cases, and shows that for either state feedback, or for output feedback delay-free, minimum phase plants, there are limitations on the ability to stabilize an unstable plant over an SNR constrained channel.
Journal ArticleDOI

Control of variable geometry turbocharged diesel engines for reduced emissions

TL;DR: It is demonstrated that the steady-state optimization of engine emissions results in operating points where EGR and VGT actuators are in effect redundant in their effect on the variables that most directly affect the emissions.
Journal ArticleDOI

Nodal dynamics, not degree distributions, determine the structural controllability of complex networks.

TL;DR: It is argued that more important than issues of structural controllability are the questions of whether a system is almost uncontrollable, whether it is almost unobservable, and whether it possesses almost pole-zero cancellations.