Open AccessBook
Robust Systems Theory and Applications
TLDR
Robust control is focused on the need to achieve greater accuracy and predictability in modern control systems, as are found in aircraft and rocket navigation systems, for example.Abstract:
From the Publisher:
Focuses on robust control, currently a very important topic in control research and engineering. The interest in this area is motivated by the need to achieve greater accuracy and predictability in modern control systems, as are found in aircraft and rocket navigation systems, for example.read more
Citations
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Journal ArticleDOI
Survey paper: Set invariance in control
TL;DR: An overview of the literature concerning positively invariant sets and their application to the analysis and synthesis of control systems is provided.
Book
A Course in Robust Control Theory: A Convex Approach
TL;DR: In this article, the authors propose a state space system theory based on linear analysis and state space systems theory, and prove strict separation of sets of zero measure. But they do not specify a formal definition of the set of zero measures.
Journal ArticleDOI
An H/sub /spl infin// approach to networked control
Peter Seiler,Raja Sengupta +1 more
TL;DR: A stochastic packet-loss model for the network is used and results for discrete-time linear systems with Markovian jumping parameters can be applied to study the effect of communication losses on vehicle control.
Journal ArticleDOI
Coordinated collective motion of Groups of autonomous mobile robots: analysis of Vicsek's model
TL;DR: This note gives a qualitative analysis of the dynamics of a system consisting of several mobile robots coordinating their motion using simple local nearest neighbor rules and shows that under some assumptions the headings of all robots will be eventually constant.
Journal ArticleDOI
Complementary Stability and Loop Shaping for Improved Human–Robot Interaction
Stephen P. Buerger,Neville Hogan +1 more
TL;DR: A loop-shaping design method is developed from a study of fundamental differences between interaction control and the more common servo problem, using a computational approach to search parameter spaces and displaying variations in performance as control parameters are adjusted.