Perspectives and results on the stability and stabilizability of hybrid systems
This paper introduces the concept of a hybrid system and some of the challenges associated
with the stability of such systems, including the issues of guaranteeing stability of switched …
with the stability of such systems, including the issues of guaranteeing stability of switched …
Control using logic-based switching
AS Morse - Trends in control: A European perspective, 1997 - Springer
Between the well-studied areas of discontinuous control [1],[2] on the one hand and
sampled data control [3] on the other lies the largely unexplored area of logic-based …
sampled data control [3] on the other lies the largely unexplored area of logic-based …
[BOOK][B] Planning algorithms
SM LaValle - 2006 - books.google.com
Planning algorithms are impacting technical disciplines and industries around the world,
including robotics, computer-aided design, manufacturing, computer graphics, aerospace …
including robotics, computer-aided design, manufacturing, computer graphics, aerospace …
Deep residual learning for image recognition
Deeper neural networks are more difficult to train. We present a residual learning framework
to ease the training of networks that are substantially deeper than those used previously. We …
to ease the training of networks that are substantially deeper than those used previously. We …
[BOOK][B] Switching in systems and control
D Liberzon - 2003 - Springer
l\lany systems encountered in practice involve a coupling between contin uous dynamics
and discrete events. Systems in which these two kinds of dynamics coexist and interact are …
and discrete events. Systems in which these two kinds of dynamics coexist and interact are …
[BOOK][B] Introduction to discrete event systems
CG Cassandras, S Lafortune - 2008 - Springer
After going through all the previous chapters, it would be natural for readers to conclude that
DES are inherently complex and hard to analyze, regardless of the modeling framework …
DES are inherently complex and hard to analyze, regardless of the modeling framework …
Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning
Learning, planning, and representing knowledge at multiple levels of temporal abstraction
are key, longstanding challenges for AI. In this paper we consider how these challenges can …
are key, longstanding challenges for AI. In this paper we consider how these challenges can …
Control of systems integrating logic, dynamics, and constraints
This paper proposes a framework for modeling and controlling systems described by
interdependent physical laws, logic rules, and operating constraints, denoted as mixed …
interdependent physical laws, logic rules, and operating constraints, denoted as mixed …
Multiple Lyapunov functions and other analysis tools for switched and hybrid systems
MS Branicky - IEEE Transactions on automatic control, 1998 - ieeexplore.ieee.org
We introduce some analysis tools for switched and hybrid systems. We first present work on
stability analysis. We introduce multiple Lyapunov functions as a tool for analyzing …
stability analysis. We introduce multiple Lyapunov functions as a tool for analyzing …
A unified framework for hybrid control: Model and optimal control theory
We propose a very general framework that systematizes the notion of a hybrid system,
combining differential equations and automata, governed by a hybrid controller that issues …
combining differential equations and automata, governed by a hybrid controller that issues …