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Dennis S. Bernstein

Researcher at University of Michigan

Publications -  876
Citations -  29606

Dennis S. Bernstein is an academic researcher from University of Michigan. The author has contributed to research in topics: Adaptive control & Control theory. The author has an hindex of 70, co-authored 847 publications receiving 26704 citations. Previous affiliations of Dennis S. Bernstein include Northrop Grumman Corporation & Harris Corporation.

Papers
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Proceedings ArticleDOI

Robust nonlinear control of the electromagnetically controlled oscillator

TL;DR: In this paper, the authors proposed a nonlinear controller that guarantees stability and bounded disturbance rejection for Hammerstein systems with quadratic input nonlinearity, and used this controller to achieve tracking for a single-sided electromagnetic oscillator.
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Equations of motion for the triaxial attitude control testbed

TL;DR: In this article, the triaxial attitude control testbed has been developed as part of a research program on spacecraft multibody rotational dynamics and control, and equations of motion are derived and presented in various forms.
Proceedings ArticleDOI

Fixed-Order Multi-Model Estimation and Control

TL;DR: In this paper, the problem of determining a feedback controller or estimator that optimizes an H 2 performance criterion involving a collection of plant models is considered, and the question of maximal controller order is also investigated.
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Minimal Complexity Control Law Synthesis, Part 1: Problem Formulation and Reduction to Optimal Static Output Feedback

TL;DR: In this paper, a general theory of optimal constrained-structure dynamic output feedback compensation is developed, which is applied in an iterative fashion, where the indicated iteration occurs over the choice of the compensator dynamic structure.
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The optimal projection equations for reduced-order, discrete-time modelling, estimation and control

TL;DR: In this paper, the optimal projection equations derived previously for reduced-order, continuous-time modelling, estimation and control are developed for the discrete-time case, and the design equations are presented in a concise and unified manner to facilitate their accessibility for the development of numerical algorithms for practical applications.